For a quick overview of a subject or a breakdown of concepts, SlideShare serves as a go-to platform for many. The recapitulations found in many of the presentations are both concise and informative.

The most popular presentations topics are the ones that have received the most number of likes and have been viewed more than the other presentations in a particular category.

AIM brings you the 14 most popular ppt topics on Artificial Intelligence, Machine Learning. Deep Learning and everything else in between.

Find: Top AI PPT Maker Tools

1) Artificial Intelligence and Law Overview

People who are not aware of what artificial intelligence is will find the topic presented in a very simple manner here.

Along with the explanation of what AI is, the two major approaches towards AI are discussed– logic and rules-based approach, and machine learning approach. Special emphasis on the machine learning approach can be seen in the slides devoted to its detailed examination. The examination goes beyond the rudimentary explanation of what machine learning is and presents examples of proxies that seem like machine learning but are not.

The presentation lists examples of AI in the field of law and identifies some of the limitations of AI technology.

2)  What is Artificial Intelligence – Artificial Intelligence Tutorial For Beginners

For the uninitiated, this presentation offers an ideal rundown of AI. The question of AI being a threat is raised at the very beginning. However, as the presentation progresses, it discusses the basics necessary for understanding AI. The most basic question of what is artificial intelligence is answered.

A brief history of AI and the discussion on recent advances in the field of AI is also found. The various areas where AI currently sees practical application have been listed. Fascinating uses that AI can be put to in the future are also found in the presentation. The two approaches of achieving AI, machine learning and deep learning, is touched upon.

All in all, this presentation serves as a simple introduction to AI.

3) Why Social Media Chat Bots Are the Future of Communication

An exciting application of AI can be found in chatbots. Here, the limitless scope of chatbots is explored. The various milestones reached by leading players  in bot technology such as Facebook, Skype and KIK are enumerated.

The evolution of chatbots and its absorption of more AI in the future is also looked into. E-Commerce is touted as the biggest beneficiary of the advancement in chatbots and that bot technology will owe its rise to services and commerce.

Two tech giants, Facebook and Google, have been pitted against each other based on their ongoing developments in this area and the question of who will emerge as the best is raised.

4) AI and the Future of Work

This presentation talks about the far-fetching applicability of AI and ML,and the perils of that applicability. In order to derive a better understanding of this presentation, it is advisable to first watch the original talk.

During the course of the presentation, many examples of how machines can learn and perform any human task that is repetitive in nature are cited.

Other possibilities suggested include the creation of new unheard jobs for human beings as a result of aggressive use of AI and other allied technologies. Qualities that are characteristic only of human beings, may be the basis on which these jobs will be created is also suggested.

It concludes with a message- Ride the train, don’t jump in front of it.

5) AI and Machine Learning Demystified

In this presentation, Carol Smith establishes that AI cannot replace humans. Smith conveys that AI can serve the purpose of enabling human beings in making better decisions.

The slides talk about how the actions of AI are the result of the human inputs going into its programming. An AI’s bias is not its own, but the human bias with which it has been programmed, is emphasised on.

Other issues such as the need for regulations and other considerations within it that require deliberation are also touched upon. The presentation leaves you with a message – Don’t fear AI, Explore it.

6) Study: The Future of VR, AR and Self-Driving Car

Though no descriptive breakdown of topics related to AI is found, the presentation offers interesting numerical insights into many questions. Statistics on three main subjects – artificial intelligence, virtual reality and wearable technology, is provided here.

A variety of questions and the numerical representations of their responses are found under four main categories:

• Will you  purchase a self-driving car when they become available?
• Are you concerned with the rise of Artificial Intelligence?
• Is wearable technology part of your daily life?
• Do you own or intend to purchase a Virtual Reality headset in the next twelve months?

From consumer opinions to overall consensus of countries, the numbers show current trends and the possible trends in the future based on increasing development in the mentioned technologies.

7) Artificial Intelligence

There are many who have been introduced to AI only recently due to the buzz surrounding it and may not be aware of the early developments that led to its current status.

This presentation from 2009 offers a simple yet informative introduction to the rudiments of AI. AI’s history and a timeline of all the significant milestones in AI up to 2009 can be found. The presentation also provides an introduction to AI programming languages such as LISP and PROLOG.

For those who would like to have a crash course on the basics of AI in order to catch up with it current trends, this presentation serves the purpose.

8) Solve for X with AI: a VC view of the Machine Learning & AI landscape

While the concepts of  AI or ML are not spoken about, light is shed on other important aspects of it. The presentation discusses about how many known tech giants such as Google are bolstering their AI capabilities through mergers and acquisitions.

The role of venture capital(VC) in the landscape of AI and machine learning,and the involvement of VC in the firms that were acquired are mentioned.

Another point highlighted is how large companies are moving towards ML and re-configuring themselves around ML, and how it is not a US-centric phenomenon. Key points have been expressed in the form of self-explanatory graphical representations. Rounding off the presentation is the possible direction that ML can take and a few pointers on achieving success in ML.

9) Deep Learning – The Past, Present and Future of Artificial Intelligence

This presentation provides a comprehensive insight into deep learning. Beginning with a brief history of AI and introduction to basics of machine learning such as its classification, the focus shifts towards deep learning entirely.

Various kinds of networks such as recurrent neural nets and generative adversarial networks have been discussed at length. Emphasis has been given to important aspects of these networks and other mechanisms such as natural language processing (NLP).

Detailed examples of practical applications and the scope of deep learning are found throughout the presentation. However, this presentation may prove difficult for first time learner’s of AI to comprehend.

10) The Future Of Work & The Work Of The Future

The subject of self-learning of robots and machines is explored here. Talking about the fictional Babel fish, it is suggested that the advancements in technology leading to improved learning and translations by machines  made the Babel fish a near-real entity.

New ‘power’ values such as speed, networked governance, collaboration and transparency, among others, have been put forth and juxtaposed against older ones that are not fully technology  driven.

Going against the popular assumption that robots and machines will replace human beings, the presentation proposes that we are on the brink of the largest job creation period in humanity.

11) Asia’s Artificial Intelligence Agenda

This presentation is a briefing paper by the MIT Technological Review and talks about how the global adoption of AI is being sped up by Asian countries. It suggests that Asia will not only benefit greatly from the rise in AI technology, but will also define it.

The data collected for the review has been summarized in the form of simple info-graphics. They are a numerical reflection of the mood surrounding the adoption of AI across different industries and how it could possibly impact human capital.  The review also suggests that while there is awareness about AI in Asia, only a small percentage of companies are investing in it.

Pointers for business leaders in Asia to capitalize on AI is offered in the end along presentation with an info-graphic timeline of the history of AI.

Download review report in pdf

12) 10 Lessons Learned from Building Machine Learning Systems

While they are two separate presentations, they talk about the same subject- machine learning. The presentations are a summary of the analysis of machine learning adopted by two platforms, Netflix and Quora.

In case of Netflix, emphasis has been given to the choice of the right metric and the type of data used for testing and training. It also emphasises the need to understand the dependence between the data used and the models employed. The advice to optimize only areas that matter is offered.

The second presentation on Quora, talks about teaching machines only what is necessary. It stresses on the need the to focus on feature engineering and being thoughtful about the ML infrastructure. Another point it highlights is the combination of supervised and unsupervised being the key in ML application.

13) Design Ethics for Artificial Intelligence

With 135 slides, this presentation provides an exhaustive insight into the creation of an ethically sound AI. An introduction to the subject of User Experience(UX) design is followed by the rules that have to be considered during the designing process.

The chronological progression of UX, beginning with experience design and ending with intelligence design, and the direction in which this process is headed is also discussed.

Supported by powerful visuals, the presentation touches upon many essential considerations such as nature of intelligence, purpose of existence, awareness of self and the need for which the AI is created.

It raises a pertinent point that while creating AI, human beings are creating something that embodies qualities that they lack.

14) Artificial Intelligence

Made for a school competition in 2009, it provides many examples of cutting-edge applications of AI at the time.

Many of the examples, such as mind controlled prosthetic limbs, Ultra Hal Assistant and Dexter- the robot provide a trip down the AI memory lane where the applications of AI seemed like a page out of a sci-fi novel. It presents a list of areas where AI can assist human beings.

It concludes with  a series of questions, some of which, are still being debated. Such as machines replacing human beings’ and human unemployment due to the use of machines.

The post 14 Best Presentations On Artificial Intelligence And Machine Learning in 2024 appeared first on AIM.

Best AI Tools for Resume Screening

Artificial intelligence has made huge inroads into the human resource domain lately. Companies are now deploying AI tools to reduce or eliminate time-consuming tasks in the recruitment process. According to experts, screening resumes is the most critical, albeit, the most labour-intensive and challenging task for HR personnel.

Typically, an HR recruiter of a medium and large corporation gets thousands of job applications. The applications will be all over the map and require hours and hours of screening. And, that’s where AI tools come into play. With the right AI tools, recruiters can sort the applications in a fraction of time.

Here we will list the top eight tools that use artificial intelligence to screen resumes.

Also Read: How AI-Powered Tools Can Shape Your Resume

1. Freshservice

Freshservice, developed by Freshworks, is a comprehensive HR solution that excels in resume screening. Its intuitive user interface and robust integration capabilities make it an ideal choice for quickly assessing resumes. Freshservice acts as a centralized hub for collecting resumes, adding notes, and rating applicants, streamlining the hiring process and enhancing recruiter productivity.

Check Freshwork tool

2. SmartRecruiters

SmartRecruiters is a versatile platform that integrates AI-driven resume screening with a comprehensive applicant tracking system. It enhances candidate-job matching by analyzing resumes against job requirements, ensuring only the most suitable candidates are shortlisted. This tool is particularly beneficial for organizations looking to streamline their recruitment process and improve hiring outcomes.

Check SmartRecruiters tool

3. Manatal

Manatal is renowned for its user-friendly interface and advanced AI capabilities that simplify recruitment. It offers features like social media enrichment and candidate recommendation, which help recruiters identify the best candidates efficiently. Manatal’s AI-driven approach ensures that resumes are assessed with precision, reducing the time spent on manual screening.

Check Manatal tool

4. SkillPool

SkillPool leverages AI to assess resumes by focusing on skills and competencies relevant to job roles. It provides detailed insights into candidates’ abilities, helping recruiters make informed decisions. SkillPool’s emphasis on skills-based assessment makes it a valuable tool for organizations prioritizing competency over traditional qualifications.

Check skillpool tech

5. HireBeat

HireBeat offers a comprehensive suite of features, including an inbuilt applicant tracking system and customizable screening questions. Its AI capabilities enable efficient resume screening and candidate ranking, making it easier for recruiters to identify top talent. HireBeat’s integration with multiple platforms enhances its versatility in various recruitment scenarios

Check hirebeat tool

6. Textkernel

Textkernel specializes in semantic search and matching, providing a sophisticated approach to resume screening. Its AI-driven technology ensures that resumes are matched with job descriptions accurately, improving the quality of shortlisted candidates. Textkernel’s focus on semantic analysis sets it apart from traditional keyword-based tools

Check Textkernel tool

7. Daxtra

Daxtra offers advanced resume parsing and matching capabilities, which are highly beneficial for large-scale recruitment drives. Its AI algorithms efficiently sort and rank resumes, reducing manual effort and improving the speed of the hiring process. Daxtra’s integration with existing HR systems further enhances its utility

Check Daxtra tool

8. Sniper AI

Sniper AI uses machine learning to screen candidates and match their resumes with the job specifications at a blinding speed and stunning accuracy. Backed by Recruitment SMART, a UK-based HR tech startup, Sniper AI can be easily integrated with applicant tracking systems for easy resume screening. Sniper AI comes with 53% internal workforce reduction capability that allows recruiters to spend less time screening the resumes. With clients like Infosys, Vodafone, Capgemini, etc., this tool is quite renowned among the industry and claims to be a game-changer for AI-based recruitment. 

Check out Sniper AI tool.

9. Ideal

Ideal is an AI tool that leverages recruiters’ feedback to build an effective algorithm to shortlist thousands of candidates based on their resumes. Claiming to reduce recruiters’ time by 70%, the AI accurately shortlists candidates for the next round of interview with HR personnel. The AI helps in resume screening for a particular job opening and improves the representation of diverse applicants with 100% bias-free algorithm. It considers external evaluation like assessments, chatbot conversations, and other data points for identifying the right candidate.

Check out the Ideal recruitment tool

10. CVViZ

CVViZ uses its in-house AI algorithm to understand the resume contextually, beyond the keyword or binary search approach. The AI-powered resume screening software reduces manual efforts significantly and ranks candidates in real-time. The model can be customised based on the organisation’s requirement and the type of employees it has worked with before. When an organisation adds a new job opening, the AI automatically finds top talent that may already exist in your recruitment database. The AI makes the recruiting process simpler, intuitive, and efficient by improving the quality of hire.

Check out CVViZ tool

11. Skeeled

Skeeled is an automated applicant tracking system that harnesses AI to screen resumes and assess candidates’ qualifications. It has deployed powerful ranking algorithms to deliver a shortlist based on qualification indicators. Along with their qualification indicator, the system also checks the add-ons like specific driver licence type, work permit, or any other custom criteria that organisations demand. This, in turn, automates and streamlines the first steps of the recruitment process, i.e. resume screening. Additionally, it comes with an advanced search engine and filtering tool that finds the right candidates from organisations’ resume databases.

Check out Skeeled.

12. Hubert

Hubert is a holistic AI recruiting platform that assists HR personnel in doing the hiring process. Trained on millions of reliable data points, the AI has been designed to provide transparent advice to the HR team. Hubert combines data from uploaded documents, personality, logical tests and the desired requirements for the job to pick the right candidate. Its transparent in-house-built algorithm also reduces the impact of unconscious bias to make better hiring decisions. Along with resume parsing, it also comes with features like diversifying the workforce, team compatibility, initial job interview, etc.

Check out Hubert

Also Read: How This Startup Is Revolutionising Tech Hiring By Using NLP & Azure

13. Mosaictrack

A smart recruiting solution, Mosaictrack utilises the cognitive power of artificial intelligence to scan through resumes and social profiles to pick the best talent based on culture fit and skill set. Its predictive analytics capability omits the task of conducting surveys or making questionnaires, where advanced algorithms pre-qualify the applicants to enhance the interview process. The AI-tool has been built with IBM’s Watson technology allowing to match talent with extreme accuracy through the power of machine learning and natural language processing.

Check out Mosaictrack.

14. Vervoe

Vervoe is an AI-based skills assessment tool that uses machine learning algorithms, to screen resumes at scale, allowing recruiters to spend more time with high performing candidates. Its predictive analytics then automatically grades and ranks them based on how well they can do the job. The algorithmic models measure the quality of a candidate’s answer against millions of similar responses. It also processes thousands of responses quickly to look for specific words or sentiments that accurately reflect these values. It then provides a list of candidates ranked in order of their strength and potential businesses need.

Check out Vervoe.

15. XOR

Ranked as a leading artificial intelligence platform for recruiting teams, XOR automates resume screening, interview scheduling, onboarding and more. Its advanced capabilities also allow the platform to manage conversations with candidates through one-on-one messaging that saves even more time for the recruiters. The XOR model is hosted on Microsoft’s Azure that enables automatic mass resume screening for a suitable candidate on more than 100 different languages and algorithms and has been trained on various HR and recruitment data sets.

Check out XOR.

The post 15 Top AI Tools For Resume Screening and Recruitment appeared first on AIM.

Over the past couple of years, the interior designing job role has witnessed significant traction. With the advent of technologies like artificial intelligence (AI), virtual reality (VR), and augmented reality (AR), the domain is just getting bigger and better. The advancements are so significant that we have a slew of mobile apps, web apps and other tools doing the job of an interior designer.

1. REimagine Home

REimagine Home is a powerful AI tool that allows users to redesign their homes with personalized design concepts. It uses generative AI to quickly generate design ideas, making it easier to stage empty rooms or redesign furnished spaces. Users can input their preferences, and the tool takes into account architectural and furniture elements to create a unique design.

Explore REimagine Home designs

2. AI House

AiHouse is considered one of the best tools for home design due to its comprehensive features and user-friendly interface. It offers an all-in-one solution for creating accurate 2D and 3D floor plans, decorating rooms, and customizing furniture with photo-realistic visualizations. The platform is powered by AI, allowing for quick and efficient design processes, including rendering 4K images in minutes. AiHouse also supports immersive 3D walkthroughs and integrates seamlessly with manufacturing systems, making it ideal for both designers and manufacturers looking to streamline their workflows

Explore home designs with AI House

3. Spacely

Spacely AI stands out as a premier tool for home design due to its rapid rendering capabilities and user-friendly interface. It allows interior designers and homeowners to create stunning visualizations in under a minute by simply uploading images of their spaces, sketches, or 3D views. The AI-powered platform offers preset styles and customisation options, facilitating better collaboration during presentations. Its efficiency in generating high-quality designs quickly makes it an invaluable resource for both professionals and DIY enthusiasts looking to visualize their ideas effectively and efficiently.

Explore designs with Spacely AI

4. HomeDesignsAI

HomeDesigns AI is a leading home design tool due to its comprehensive features, including interior, exterior, and landscaping design options. With over 75 design styles and the ability to generate ideas in under 30 seconds, it offers speed and efficiency. The user-friendly interface allows for easy uploads and customization, making it accessible to both professionals and homeowners. Its advanced AI technology provides personalized recommendations, while its cost-effective solutions make it a valuable resource for a wide range of users in the design industry.

Explore interior and exterior designs with homedesingai

5. Arch – AI Home Design

Arch – AI Home Design is considered one of the best tools for home design due to its user-friendly features and advanced AI capabilities. It allows users to instantly transform their spaces by simply taking a photo, offering a diverse selection of over 10 interior design styles. The app provides detailed recommendations on furniture, decor, and color schemes tailored to each style, enabling users to create cohesive environments easily. Additionally, it allows users to save and share their designs, facilitating collaboration and feedback, making it a versatile tool for both personal and professional use.

Find Arch AI home design in google play store

6. IKEA Place

One of the leading furniture brands, IKEA boasts of a platform that helps users design interior — IKEA Place. The platform is built on ARCore and is built in such a way that it virtually places the company products in spaces that you scan using your phone camera. The platform also has an intelligent feature that lets users scan any existing item and enables the users to know which products from IKEA match their product.

Another best thing about the app is that it provides accurate measurement of the furniture that would fit at the scanned space, which helps users pick the perfect fit.

Find IKEA Place in play store

7. Leaperr

Leaperr is an Artificial Intelligence (AI) system that does the job of an interior designer. The Leaperr system is a combination of deep-Learning, image-processing and advanced algorithms that can automatically produce interior designs. The system is designed in such a way that it simplifies the entire process of designing. All you need to do is take a picture of your room, fill out a short questionnaire or choose photos of designs you like and the AI system will come up with various photos tailor-made to your space. And one of the best parts about Leaperr is the fact that it generates interior designs that look like real photos.

Explore designs in Leaperr

8. LexSet.ai

LexSet.ai is a New York-based AI startup that is changing the way how furniture used to be purchased. The company’s AI analyses a room and identifies different furniture and essentials in the room and also comes up with item recommendations (for e.g. furniture) that the user would like to have in the room.

Explore interior designs with Lexset.ai

9. Planner 5D

Available for Web, iOS, Android, Mac OS and Windows, Planner 5D is another best-in-class AI-powered home designing tool.  Powered by AI, VR and AR, this popular home design tool enables anyone to easily create floor plans and interior designs. The popularity of this tool has reached such a level that it has 40 million users and these users have designed more than 80 million projects without any special design or software skills. Another standout functionality is that the app turns a 2D blueprint into a 3D version. Its intelligent neural-network instantly digitise floor plans. All you need to do is just upload a floor plan and the AI will do its job.

Explore planner 5d designs

Homestory AR (Discontinued)

Available on iOS, Homestory AR is an AI-powered interior designing app that shows different types of furniture and other essentials that would look good. The app is designed in such a way that all a user needs to do is scan the area in the house and the AI functionality will measure the room’s size and shape and would recommend products based on that. Other features of this platform include: one can share images and designs with others and also, one uses the app’s 3D virtual room view to take a look at it from different angles.

Find Homestory AR iOS store

The above top AI tools for home design are ideal for a diverse range of users. Professional interior designers can leverage AI to enhance creativity and streamline their workflow, allowing for more efficient and innovative design processes. Homeowners and DIY enthusiasts benefit from AI tools by visualising and experimenting with design ideas without needing extensive expertise. Real estate professionals can use AI for virtual staging, making properties more appealing to potential buyers. Additionally, architects and design firms can integrate AI to improve customisation and efficiency in their projects. Overall, AI tools democratise design, making it accessible to both professionals and amateurs alike.

The post Best AI Tools for Home And Interior Designing in 2024 appeared first on AIM.

Generative AI has made AI much more relevant in our day-to-day lives. Whether you need your blog proofread, a piece of music produced, or an artwork made within seconds, it’s likely that generative AI already plays a part in it somehow. 

Moreover, generative AI has managed to pervade every part of one’s professional life, with companies investing in integrating AI left, right and centre. 

With AI practically taking over our lives, the task of understanding it might seem daunting. But it doesn’t have to be. Thankfully, there is no dearth of courses and learning material to make sense of it all. 

So, without further ado, here are some of the best courses out there to help you out:

Generative AI Crash Course

This course, by the Association of Data Scientists (ADaSci), is more hands-on and specific to generative AI. It’s designed for non-tech professionals looking to expand their horizons using AI. At the end of the course, participants can expect to have a strong grasp of generative AI fundamentals and tools that they can leverage in their day-to-day lives. 

Additionally, the course expands on how GenAI can be used in various contexts and within various industries. The five-day virtual course will kick off from August 19 onwards, with a total of ten hours of learning and practical projects.

More details here.

AI for Non-Technical People: A Hands-On Beginner’s Course

This course introduces the fundamentals of artificial intelligence to non-technical individuals through simple lessons, real-world examples, and practical activities. Participants learn about AI’s impact on industries like healthcare and finance and explore ethical issues such as privacy and bias. 

The course includes a hands-on project to build AI models without needing technical skills, providing a clear understanding of AI concepts, applications, and implications.

More details here.

Generative AI for Beginners

While less hands-on, Microsoft also offers a short-term course on generative AI catering to beginners. The course is focused on those looking to build generative AI applications with little to no technical background. The 18-lesson course includes a short video introduction, as well as a written lesson alongside coding samples and links to external resources so that you aren’t left in the lurch after completing the course. 

One of the downsides is that the course requires access to the OpenAI API or Azure’s OpenAI service. However, it offers a comprehensive rundown on how to build your own generative AI applications, as well as how to deal with the risks and ethics involved.

More details here.

AI For Everyone

Of course, everyone’s favourite AI professor has a beginner-friendly course for AI too. Andrew Ng’s DeepLearning.ai offers an AI For Everyone course, specifically for non-technical professionals. 

While it is an overarching course about AI, it also takes into consideration the use of generative AI, and gives you a list of common AI terminologies and what they mean. Additionally, since the course is meant for professionals, Ng recommends it to engineers as well, especially those who want to understand the business side of AI.

More details here.

Introduction to Generative AI

Google Cloud also offers a similar generative AI course on Coursera, though it is part of a larger course on their introduction to generative AI learning path specialisation. While short, the hour-long course gives an effective and generalised explanation of what generative AI is, the types of models currently used, how they work and where they can be used. 

The overall course offers insights from industry experts and also contributes to developing your professional GenAI skills.

More details here.

Generative AI Automation Specialisation

Vanderbilt University offers a more specialised course in generative AI, with a focus on how to use LLM-based chatbots, like ChatGPT, to optimise your workflow. The month-long course offers a ten-hour workload per week and requires no prior experience or knowledge of generative AI. 

The course is unique in offering specific skills in leveraging LLMs within your professional life, with modules on prompt engineering, data analysis, and identifying trustworthy generative AI.

More details here.

Introduction to Generative AI – Art of the Possible

AWS offers a short course with a focus on generative AI concepts and use cases, as well as the importance of generative AI in business. The course is perfect for a short introductory foray into how generative AI works, how it fits in with machine learning and why it’s important in the grand scheme of things, specifically for business purposes. 

Additionally, it gives participants a good idea of the risks and benefits associated with generative AI and where it can be leveraged.

More details here.

The post Top 7 GenAI Courses for Non-Techies in 2024 appeared first on AIM.

In a report on Navigating 2024’s Recruitment Trends, AI and talent expert Hung Lee from Recruiting Brainfood encourages HR leaders to “aggressively apply AI to your own workflow today because it’s going to happen regardless of your desire”. 

However, Lee cautions against using AI to simply generate more output. He suggests strategically investing the saved time and resources in areas that bring tangible value to the organisation.

AI tools seamlessly leverage cutting-edge AI technology to automate repetitive tasks, providing valuable insights, and improving decision-making, allowing HR teams to focus on more strategic initiatives.

Here, we’re going to explore the top AI tools for HR professionals. 

1. hireEZ

On February 16, 2022, hireEZ, formerly known as Hiretual, secured $26M in funding led by Conductive Ventures. The rebranding highlights the company’s focus on outbound recruiting. “In these unprecedented times, recruiting has become an impossible task,” said founder and CEO Steven Jiang.

This AI-powered platform can be integrated with any tech stack. It helps recruiters source and pull data from multiple websites and platforms and offers access to over 750 million professional profiles and resumes, and engagement with email templates and insights.

2. ClickUp

ClickUp is a productivity platform and solution for HR professionals looking to automate tedious tasks, engage employees, and bring structure to their multiple workflows. The AI tool uses built-in role-specific prompts to analyse data, generate reports, and recommend potential solutions. 

ClickUp Docs enables HR teams to store and manage all their knowledge at one place with access controls. The platform connects documents to workflows, visualises team tasks, plans events, and offers performance insights on its intuitive dashboard.

Zeb Evans and Alex Yurkowski founded it as an internal tool in 2017 before launching it publicly as a cloud-based productivity software. Initially headquartered in San Francisco, the company moved to San Diego in 2020. In 2021, ClickUp raised $400 million at a $4 billion valuation, and expanded to Europe with a Dublin office. It also opened an Asia Pacific headquarters in Sydney.

3. Personio

Personio’s AI-driven platform offers comprehensive solutions for managing employee records, benefits, and payroll by centralising HR processes and data. It also increases efficiency and accuracy, enabling HR professionals to focus on strategic initiatives and employee development.

It is designed to streamline and automate various HR processes for small and medium-sized enterprises. 

Valued at $8.5 billion, the company emerged from a program of the CDTM. Its co-founders are Hanno Renner, Roman Schumacher, Arseniy Vershinin, and Jonas Rieke.

4. Clockwise

Clockwise is an AI-driven calendar optimisation platform that helps teams reclaim their time and improve productivity. By analysing calendars and scheduling patterns, it automatically schedules meetings to minimise interruptions and maximise focus time, enabling teams to work more efficiently and achieve better work-life balance.

By marking certain meetings as flexible, the AI can move them to times that cause the least disruption based on everyone’s preferences and schedules. 

Matt Martin is the co-founder & CEO of Clockwise.

5. WorkRamp

WorkRamp is a comprehensive LMS that enables organisations to create and deliver customised training programs. With features such as interactive content creation, assessments, and analytics, it empowers companies to onboard employees, develop skills, and drive performance improvement effectively. 

It helps new hires get up to speed with company policies, procedures, and culture by creating and delivering training content for different teams or roles. 

The world’s first learning cloud platform, it was founded in 2015 and is based in San Carlos, California. Ted Blosser, the company’s CEO and co-founder, leads the team in delivering innovative learning solutions.

6. Leena AI 

This AI-powered HR chatbot streamlines HR processes, assists employees with common queries, and automates routine tasks. By doing so, it enables HR professionals to focus on strategic initiatives and employee engagement. Its key features include chatbot automation, integration with HR processes, automated task management, and the provision of analytics and insights.

Its goal is to enhance employee experience and support HR operations with intelligent automation. The CEO of Leena AI is Adit Jain. He co-founded the company in 2018 and leads its vision to transform HR and employee services through AI-powered solutions.

7. Zoho Recruit 

Like many other platforms on our list, Zoho uses predictive analysis to fine-tune the hiring process. It offers job posting optimisation and automated resume screening to reduce the manual work during the hiring process. It can automatically parse CVs and extract key information such as skills, experience, and education.

The platform’s AI assistant and chatbot, Zia, acts as a matchmaker between you and your desired candidate, improving the overall recruitment experience. Its advanced machine learning algorithms identify hidden patterns within collected data to accurately forecast the best candidate matches in real-time.

8. Eilla AI

Eilla AI is an AI platform designed to power self-service options and responsive support. It provides insights and analytics to support strategic HR decisions and works with existing HR systems to streamline processes and data management. 

Founded by Nikola Lazarov, Nikolay Babulkov and Petar Petrov, it automates HR tasks for businesses of all sizes, from startups to enterprises.

This platform is driven by AI technology, which is used to create documents with sensitive data, ensuring protection through masked documents or information replacement for private logs. Its key features are secure financial generative AI with fact-checking and accurate sensitive data protection.

9. Worksheets AI 

The sheets are a set of structured templates and tools used for various professional purposes, primarily to facilitate the documentation and analysis of different processes or strategies. They play a major role in documenting and analysing business processes to identify inefficiencies and areas for improvement. 

Used for strategic planning, goal setting, and tracking progress against business objectives, they assist in outlining project scopes, timelines, resource allocation, and risk management. They also help in assigning tasks, setting deadlines, and monitoring project progress.

10. JuiceBox

It is a business intelligence software that leverages AI to establish a data-informed decision-making process. The platform aims to enable data visualisation for users who may not be too tech-savvy.

With JuiceBox, the HR team can automate the process of gathering data from multiple spreadsheets, such as employee records, performance reviews, and survey results. 

The platform’s proprietary AI transforms complex datasets into contextual stories and reports.

These insights powered by natural language processing can reveal trends and patterns in staff performance, engagement, and satisfaction.

The post 10 Best AI Tools for HR Professionals in 2024 appeared first on AIM.

Microsoft introduced Copilot, integrating it into Microsoft 365 to provide users with more agency and enhance accessibility using natural language processing. Copilot is now within familiar Office suite apps like Word, Excel, PowerPoint, Outlook, and Teams. 

With PowerPoint, in particular, Copilot acts as an AI assistant, simplifying presentation creation by effortlessly transforming ideas into polished slides. It streamlines tasks such as generating drafts, distilling complex content, organising slides, and applying brand styles. Users can explore different ideas and formats, refining their presentation skills along the way. 

By leveraging Copilot’s intuitive features and feedback, presenters can save time. Whether for work, school, or personal use, Copilot empowers users to deliver impactful presentations that captivate audiences and effectively convey messages.

However, Copilot isn’t the first to leverage its PowerPoint capabilities. Here are 8 alternative online AI tools to create your PowerPoint presentations in seconds.

Top 8 Microsoft Copilot Alternatives to Create PPTs in Seconds

PopAi

PopAi is an AI tool that offers versatile conversational experiences, supporting over 200 languages. It caters to both personal and professional needs, adapting to educational queries, technical support, and creative idea generation.

PopAi introduces innovative features like “Chat with Document” for instant insights from documents, “AI Presentation” for efficient presentation creation, and “Image Chat” for visual understanding.

By leveraging AI presentation tools, users can save valuable time and increase productivity. These tools automate various aspects of presentation creation, such as design suggestions and content generation. With AI chat, users no longer need extensive design knowledge or expertise to create visually appealing slides.

Beautiful.ai

Beautiful.ai is a web-based tool that helps one create stunning presentations in minutes using AI to design slides based on content and preferences. It handles fonts, colours, layouts, and animations. 

One can collaborate with a team in real time and convert presentations to .pdf or .ppts formats for sharing online or offline. Beautiful.ai works on any device and browser, allowing one to create and present from anywhere. It also integrates with Slack.

With DesignerBot, one can quickly design slides and benefit from helpful brainstorming, instant text, and image generation.

Decktopus

Decktopus is a simple and intuitive tool that helps to create presentations online. It automatically adjusts a presentation to ensure it is perfect, aligning to text, images, icons, and colours harmoniously for an appealing design. 

Decktopus is a smart assistant that helps to create effective and engaging presentations. It enables one to create visually stunning and professional presentations by offering different themes and styles to suit your purpose and audience.

One of the standout features of Decktopus is its AI-enriched content. The tool provides image and icon suggestions, slide notes, and more content ideas based on topic and audience. One can also add voice recordings, videos, URLs, and other multimedia elements to enhance the presentation.

Tome 

Tome AI is an innovative tool that helps users quickly and easily create presentations and other narrative content. By using prompts or existing documents as input, Tome generates visuals, layouts, and text suggestions to build professional-looking presentations.

Users can generate presentations simply by providing a prompt, and the output is organized by a table of contents, complete with text, introduction slides, and AI-generated images. Tome’s presentations have a distinctive style, typically featuring a black background, white text, and AI illustrations, setting them apart from traditional PowerPoint or Google Slides presentations.

SlideSpeak

SlideSpeak revolutionises presentation creation by allowing users to upload PDFs or Word documents and automatically generate presentations based on the content. 

With just one click, one can transform the document into a presentation without needing to interact extensively with an AI bot. The generated presentation can then be downloaded as a PowerPoint file (.pptx), where one can fix any misaligned text or images and make further edits as needed. 

Additionally, SlideSpeak enables one to share and download the presentation in both formats, providing a seamless and efficient way to create and distribute professional presentations.

Gamma

Gamma is an AI-powered tool designed for creating professional presentations, websites, and documents. With Gamma, design lock-in is no longer an issue. It accelerates content creation by generating templates that automatically align with the brand.

Gamma supports various media formats, making it easy to include GIFs, videos, charts, or websites. This enhances presentations and helps convey complex ideas more effectively. The media integration feature ensures that your content is dynamic and engaging.

Ideal for large teams, Gamma allows for real-time collaboration, enabling instant feedback and collective efforts, all within a single platform. This feature caters to the needs of big teams and ensures seamless teamwork.

Plus.ai

Plus.ai is an AI tool that can be integrated into Google Docs and Slides to generate custom content quickly and effortlessly. It prioritises professional designs, ensuring that presentations are suitable for both professional and academic contexts. 

Additionally, the AI copilot functionality facilitates collaborative presentation creation by seamlessly integrating AI throughout the process. The Live Snapshots feature, powered by Plus’s Snapshot technology, automates data updates, ensuring that information remains current. 

Moreover, Plus AI focuses on content quality, generating an appropriate amount of text for each slide and demonstrating an advanced understanding of various slide layouts. Furthermore, the rewrite feature allows users to quickly rectify inaccuracies in content with AI assistance.

SlidesAI

SlidesAI is seamlessly integrated into Google Slides, offering users the ability to utilise generative AI directly within the platform. It was initially launched with the capability to generate presentations from lengthy text documents. 

SlidesAI has recently expanded its functionality to include the creation of presentations using shorter prompts as well. Alongside these primary features, SlidesAI also provides users with additional tools such as image suggestions tailored to specific slides, text paraphrasing options for refining content, and a text-to-slides feature that enables users to effortlessly convert existing text into presentation slides through simple copy-paste actions.

The post Top 8 Microsoft 365 Copilot Alternatives to Create PPTs in Seconds appeared first on AIM.

Vision Pro to Make a Worldwide Release Soon?

The Apple Vision Pro is likely to make a worldwide release next month. In a recent report, Bloomberg highlighted that employees from several international stores have been flown into the US to undergo training in the usage of the headset.

This move is speculated to be a step towards a worldwide release for the Vision Pro, which was released in the US in February last year. Now, Apple is expected to release the spatial computer during the upcoming Worldwide Developers Conference to be held between June 10 and 14.

Ahead of its release, let’s look at how the Vision Pro and similar spatial computers could change industries for the better in India, especially when it comes to tasks that are dangerous or extensive.

Top Apple Vision Pro Use Cases for Users

1. Disaster Management and Emergency Response
2. Healthcare
3. Aerospace and Aviation
4. Aerospace and Aviation
5. Oil and Gas
6. Agriculture and Food Production
7. Cultural Preservation
8. Urban Planning and Infrastructure
9. Manufacturing
10. Scientific Research

1. Disaster Management and Emergency Response

As the seventh largest country in the world, India is disaster-prone in several areas, be it in terms of floods, cyclones, and earthquakes, or even smaller challenges of dealing with rain-inundated areas or fighting a fire.

Issues with disaster management, according to the National Disaster Management Authority, include the lack of local data and coordination. These can be rectified through the use of the device, which helps in assessing, compiling, and providing real-time information, and improving coordination efforts between departments and on-ground responders. 

Additionally, it can double up as a training device, allowing responders to simulate potential disasters in order to devise effective strategies.

2. Healthcare

The Vision Pro has already seen several uses in healthcare, both in the UK as well as in India. Recently, doctors in Chennai made use of the mixed-reality headset during several surgeries, to aid them in real-time monitoring.

Additionally, in areas lacking in continuous training capabilities, a one-time investment in the MR device could help train several batches of students in particularly sensitive areas, like surgery or even diagnosis, without the potential risks associated with it.

3. Aerospace and Aviation

Similarly, with real-time monitoring a major factor in the aviation and aerospace industries, the headset could help in improving these capabilities, while lowering the costs in providing a portable real-time monitoring device. 

It could also help lower the risk of accidents, particularly in low visibility areas and situations where pilots are cut-off from ATC towers. It can also aid repair work, particularly in spotting anomalies, as well as in training both flight crew and technicians in simulated settings.

4. Oil and Gas

Safety being a high priority in the oil and gas industry, the Vision Pro could serve as a potential remedy for issues in real-time assessments for risk and emergency responses.

Like disaster management, this could also help companies draft effective emergency response strategies through the use of MR simulations. MR headsets could also lower risks with fewer workers needed to deal with situations in hazardous environments, with the use of real-time monitoring by remote experts.

5. Agriculture and Food Production

With drought and food shortages a major point of contention in India, particularly recently, the Vision Pro could help assess on-ground situations on a case-by-case basis. Though this would be an expensive investment, it could help government officials aid farmers in understanding the reasons behind crop failure.

6. Cultural Preservation

An interesting use case for the Vision Pro could be in preserving cultural monuments within the country. In an era of rapid urbanisation and looming threat of losing out on history, the tool could help in mapping out and providing a timeless experience for tourists, even in the event of the loss of a historical site.

Additionally, MR could help tourists and historians understand heritage sites better with simulated environments created out of ruins.

7. Urban Planning and Infrastructure

As mentioned, rapid urbanisation has taken a grip over India, however, concerns on effective urbanisation have long been a point of contention. In addition to architectural capabilities, the Vision Pro could help in aiding urban planning, even going so far as to simulate developments in villages, towns and cities, to understand how they will fare in the future. 

This would also help in ensuring that long-term proposals for urban planning remain effective well into the future.

8. Manufacturing

Large-scale manufacturers could lower the costs of training or even bridge the training gap by investing in MR capabilities. The potential for workers to train using the Vision Pro, without the need for an instructor or without the necessary training materials, could help in lowering the risk of accidents caused due to the lack of training. 

This would be particularly helpful in the case of India, where there is a lack of qualified candidates for highly specialised roles like machine operating.

9. Scientific Research

A lot of the use cases mentioned above, such as healthcare, agriculture, aviation, engineering, could all use the Vision Pro for research purposes too. Despite a more hefty price, compared to current simulation tech, scientific visualisation could become much cheaper with devices like the Vision Pro. 

Especially with tech like Google DeepMind’s AlphaFold making rapid advancements.

The post 9 Best Apple Vision Pro Use Cases in India 2024 appeared first on AIM.

The global AI image generator market was estimated at $301.7 million in 2022 and is forecasted to grow at a CAGR of 17.5% from 2023 to 2030. 

Innovations in deep learning and AI algorithms, particularly generative adversarial networks (GANs) and diffusion models have significantly enhanced the quality and realism of AI-generated images.

As these technologies continue to evolve, they expand the potential applications for AI image generators, fuelling market growth across diverse industries such as advertising, marketing, media, and entertainment. 

Interestingly, a quick search on Hugging Face yields over 18,000 text-to-image models alone. Here are 10 open-source text-to-image models that can help people who rely on visual content.

Top 10 Open Source Text-to-Image Models Used in AI Image Generators

1. DeepFloyd IF
2. StableStudio
3. Invoke
4. Stable Diffusion V1.5
5. Pixray
6. Dreamlike photoreal
7. DreamShaper
8. Craiyon
9. Jasper Art
10. Waifu Diffusion

1. DeepFloyd IF

DeepFloyd IF is a text-to-image model enabling research labs to explore and experiment with advanced text-to-image generation approaches. DeepFloyd IF represents the ultimate solution for generating realistic visuals and enhancing language comprehension. The open-source model boasts a modular design comprising a fixed text encoder and three interconnected pixel diffusion modules.

DeepFloyd IF’s capacity to produce remarkably lifelike and contextually precise images based on textual descriptions empowers developers, fostering a heightened level of interactivity and user engagement within their applications. 

However, the model’s limitation in resizing images to 64 pixels could become apparent when high-resolution images are necessary. Additionally, developers may face challenges due to the computational resources demanded by the model’s complexity, particularly when working within constrained resource environments.

Source: DeepFloyd IF text to image model.

2. StableStudio

StableStudio, an open-source AI image generation tool, is the successor to the text-to-image consumer application DreamStudio. StableStudio helps with the imaging pipeline and showcases Stability AI’s dedication towards advancing open-source development within the AI ecosystem. 

StableStudio differs from DreamStudio in that it’s not cloud-based. Instead, it’s crafted to offer greater control and customisation options. This makes it ideal for local installations.

This platform provides a user-friendly interface for effortless interaction with generative AI models. While StableStudio is partly open source, users still need an API key for certain features, implying some restrictions on its openness.

Source: StableStudio text to image

3. Invoke

Invoke is a super-smart tool for artists and designers, aiding them in creating captivating pictures and videos through sophisticated computer techniques. It is user-friendly and compatible with most computers, allowing users to execute various tasks such as transforming one image into another, filling in missing elements, and generating new images from scratch. 

InvokeAI is open-source, enabling anyone to observe its functionality and contribute enhancements. It can be accessed on GitHub.

Source: Invoke text to image model

4. Stable Diffusion

The Stable Diffusion model, the ultimate solution for generating lifelike images from text, merges an autoencoder with a diffusion model. It is trained extensively on the LAION-5B dataset, making it the market’s most advanced model.

With the flexibility to generate images from a wide range of latent spaces, this model is not restricted to a fixed set of text prompts. It has been trained on a large image dataset, enabling it to possess a deeper understanding of image characteristics.

Source: Stable Diffusion text to image models

5. Pixray

Pixray is a browser-based software application that provides individuals with the ability to generate original images solely through text input.

Among its amazing features are the ability to input text prompts, select from a range of rendering engines (called drawers) such as clipdraw, line_sketch, and pixel, and adjust formatting settings. According to users, Pixray offers unparalleled flexibility and control.

Source: Pixray text to image

6. Dreamlike Photoreal

Dreamlike Photoreal is derived from the Stable Diffusion model. It has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. 

For optimal results, it is recommended to use non-square aspect ratios, with vertical aspect ratios being ideal for portrait-style photos and horizontal aspect ratios for landscape photos.

Source: Dreamlike Photoreal text to image model

7. DreamShaper

The Dream Shaper V7, an image generation model based on diffusion architecture, significantly improves LoRA support and overall realism. 

This model delivers photorealistic images with reduced noise offset and enhances anime-style generation with Booru tags. Additionally, it offers a resolution upgrade for improved visual fidelity, addressing the shortcomings of earlier versions.

Source: Dream Shaper V7 text to image model

8. Craiyon

Craiyon, an AI-powered image-generation tool, formerly DALL-E Mini, brings text prompts to life by crafting visually striking and entirely unique images. Launched in 2022, Craiyon was among the pioneering AI art generators available, leveraging its DALL-E Mini technology to translate basic text descriptions into images.

This AI art generator offers a range of intriguing features for artists, designers, and enthusiasts alike. It can transform any text prompt into a visual masterpiece, provide creative suggestions to inspire artistic momentum, generate images without sacrificing quality, and employ advanced algorithms to anticipate and propose prompts.

Source: Craiyon text to image model

9. Jasper Art

Jasper Art is an AI art generator that forms part of the Jasper AI suite of tools. It swiftly transforms text into distinctive images, photos, and illustrations. Users can create unlimited images without watermarks and easily modify them using text prompts.

Moreover, Jasper Art offers a range of settings for users to customise and refine their artwork. Users can also bookmark and save their favourite creations in the searchable image library, which is particularly beneficial for content creators working with Jasper.

Source: Jasper Art website

10. Waifu Diffusion

Waifu Diffusion is based on the Stable Diffusion model. It is a latent text-to-image model that generates impressive anime images from simple text descriptions.

It is a fine-tuned version of the Stable Diffusion model derived from Stable Diffusion v1.4. The Waifu Diffusion model can learn from user feedback, allowing it to fine-tune its tools and generation processes.

Source: Waifu Diffusion text to image model

The post Top 10 Open Source Text to Image Models in 2024 appeared first on AIM.

Still stuck writing lines of code the old-fashioned way or fixing bugs solo? AI is changing how we code and tapping into the power of AI coding assistants can be a game-changer. From offering savvy suggestions, automating mundane tasks, and supercharging your coding mojo, these 10 tools fuelled by AI will help you level up!

1. Tabnine

Tabnine is an AI-driven coding assistant that enhances developer productivity by quickly generating code, predicting subsequent lines, and offering smart completion suggestions.

It supports numerous programming languages and IDEs, including VS Code, IntelliJ, and Android Studio, making it highly versatile. Key features include generating code from prompts, autofilling classes and variables, recommending bug fixes, and creating documentation and test cases.

The tool is SOC-2 compliant, ensuring that it maintains code security within your existing environment. A standout feature is its customization to each user’s unique coding style, blending gen AI with personal patterns. 

This enables it to predict and suggest context-specific code, streamlining repetitive tasks and enhancing code quality. Tabnine’s deep learning algorithms provide tailored suggestions across more than 20 programming languages including Python, Java, JavaScript, PHP, Go, and Rust among others.

It’s free to start, with a full-featured version available for $12 per month.

2. Codiga

Codiga provides real-time error checking and code analysis without disrupting existing code. It supports a wide array of programming languages including PHP, C++, Java, and Python and ensures high-quality software development.

Codiga offers a comprehensive report on code quality and can identify, analyze, and suggest fixes for various coding issues. It excels in auto-fixing codes and focuses heavily on security, making it ideal for managing complex codebases. 

Its integration with popular development environments and support for over 12 programming languages, coupled with over 2000 analysis rules, including dependency scanning and security analysis, make Codiga a valuable tool for developers.

A free individual plan is available and a paid plan starts from $14 per month.

3. Replit

Replit, an AI-based online coding platform, facilitates collaborative coding and learning. Its standout feature, Ghostwriter, offers contextually relevant code suggestions, enhancing coding efficiency and readability. 

Users can instantly start projects in any language and share them globally with ease. Ghostwriter streamlines coding tasks, from auto-completion to error detection, fostering learning within documents. 

Replit’s AI assistance aids both beginners and experienced developers, speeding up coding processes. The tool can conduct multiple complex coding problems at a single time and also provides unlimited public replies. 

It is free for individual use and subscription options include a Hacker plan priced at $7 per month and a Pro plan at $20 per month.

4. GitHub Copilot

GitHub Copilot is highly favored for its ability to write high-quality code using natural language prompts. It supports a broad range of programming languages including Python, JavaScript, C++, and TypeScript, and integrates seamlessly with popular IDEs like Visual Studio Code and JetBrains. 

It not only automates boilerplate code but also provides suggestions for code completion, debugging, and spotting potential security risks. It’s particularly useful for learning new programming languages and enhancing productivity.

According to the Stack Overflow 2023 Survey, over 50% of developers prefer GitHub Copilot, and it is used by one in three Fortune 500 companies and over 50,000 businesses globally.

For individuals, pricing starts at $10 per month, while business plans begin at $19 per month. The tool has recently launched mobile versions for Android and iOS soon, which will further its accessibility and utility.

5. AskCodi

AskCodi is a valuable AI coding assistant for developers, designed to streamline the coding process by eliminating unnecessary tasks and boosting productivity. It supports a range of programming languages, including JavaScript, MySQL, Kotlin, and C++, and is compatible with multiple IDEs like VS Code, PyCharm, and IntelliJ IDEA. 

Powered by OpenAI Codex, AskCodi excels in generating code, answering programming queries, and providing code suggestions directly within your IDE.

The tool supports various natural languages such as English, Spanish, and German, and features a unique Codi WorkBook. This interactive environment is ideal for both beginners and experienced developers, offering functionalities like code generation, explanation, and documentation creation. 

The membership pack costs $9.99 a month and is free for personal use. 

6. Snyk

If your primary role in software development is to identify issues and vulnerabilities, Snyk is an excellent free AI tool for this purpose. It utilizes ML and various analytical techniques to detect problems in both human-written and AI-generated code.

The tool quickly scans code, identifies errors, and suggests fixes. It integrates into existing development tools and workflows, making security a seamless part of the development process. Snyk provides comprehensive security testing and real-time alerts to ensure that security issues are addressed promptly, thereby minimizing risks. 

The platform supports multiple programming languages. Notably, even Google Cloud’s AI-powered developer assistant, Gemini Code Assist, relies on Snyk to ensure the generation of secure code.

It offers a free plan for individual developers and $25/month for the development teams.

7. Amazon CodeWhisperer

Amazon CodeWhisperer is a ML powered AI coding assistant that enhances developer productivity by generating high-quality code. It supports multiple IDEs and programming languages, offering real-time, comprehensive code suggestions.

The tool is particularly adept at identifying and suggesting fixes for bugs, ensuring code accuracy and security. CodeWhisperer’s integration with various development environments makes it a versatile choice for developers, especially those using AWS. 

It promotes efficient, secure coding practices by leveraging a vast dataset of open-source code and providing up-to-date industry standard suggestions.

Recently, Amazon CodeWhisperer has transformed into ‘Q Developer’ with expanded functions and capabilities.

It is free for individuals and has a professional plan which starts from $19 per month.

8. Sourcegraph Cody

Sourcegraph Cody enhances workflow efficiency and understanding of code bases. It simplifies coding by generating precise codes from natural language prompts and streamlining complex coding tasks. 

Cody offers features like bug detection, documentation generation, and code interpretation. It integrates with popular IDEs such as VS Code and JetBrains, providing real-time code completion and context-aware answers. 

Ideal for both beginners and seasoned developers, Cody helps locate and understand code across repositories and branches efficiently, making coding less intimidating and more accessible.

It is free for individual use.

9. Codeium

Compatible with popular IDEs and supporting 20+ languages, Codeium, an AI-powered code completion tool, simplifies navigation through unfamiliar codebases, sparing developers from intricate syntax details. 

Key features include seamless integration with preferred environments, effortless navigation of complex codebases, and enhanced coding speed and accessibility. 

It is free for individual users and $12 per month for teams.

10. WP Code

WPCode simplifies code injection into WordPress headers and footers. It’s grown from a snippet tool to a Google Tag Manager alternative, with free and pro versions. The pro version tracks changes and creators, aiding accountability and recovery. 

Features include easy snippet insertion, AI-driven code generation, and tailored WordPress snippets. It’s user-friendly for beginners and developers, offering a hassle-free way to implement code without complex theme file edits.

The post Top 10 AI Code Generator in 2024 – BestCoding Assistant for Developers appeared first on AIM.

What is AlphaFold 3?

On 8th May, Google DeepMind and Isomorphic Words unveiled the third generation of its protein folding model, AlphaFold 3. The new AI model has achieved 50% accuracy in predicting the structure and interactions of all biological molecules, including proteins, DNA, RNA, and ligands, making it the first AI system to surpass physics-based tools for biomolecular structure prediction.

However, along with AlphaFold 3, which is now available for non-commercial research purposes, there are popular alternatives to AlphaFold. These models form the basis of the drug discovery process and have other important life science impacts. Let’s take a look at the top alternatives of AlphaFold 3 in 2024.

Top Alternatives of AlphaFold 3 in 2024

1. RoseTTAFold by Baker lab
2. OmegaFold by Helixon
3. I-TASSER by Yang Zhang
4. Phyre2 by Lawrence Kelley’s
5. ESMFold by Meta AI
6. SWISS-MODEL by Torsten Schwede
7. Robetta by Baker Lab
8. HHPred by Max Planck Institute for Developmental Biology
9. AlphaFold-Multimmer by Google DeepMind
10. CollabFold by Milot Mirdita, Sergey Ovchinnikov, and Martin Steinegger

1. RoseTTAFold

Creator: Baker lab at the University of Washington, led by Minkyung Baek, Ph.D.​ 

Pros:

• Utilises a “three-track” neural network architecture that processes one-, two-, and three-dimensional data about proteins simultaneously.
• Designed for rapid protein structure prediction, capable of computing structures in minutes on standard computing equipment​ 
• Focuses more on integrating various data types (sequence, interaction, and structure) within its neural network​ 
• Has been successfully applied to predict numerous protein structures, including those not well-understood or directly linked to human health issues like cancer and inflammation​.
• It provides tools for modeling complex biological assemblies and enhancing understanding of multifaceted biological systems​.
• Quick prediction times make it accessible for widespread use in both academic and clinical settings.
• Open-source and availabile through GitHub.

Cons:

• While highly accurate, it may not reach AlphaFold’s precision level in all scenarios, particularly with extremely complex proteins.

Training Method:

• RoseTTAFold is trained using both protein sequence data and structural data, allowing it to predict protein structures and their interactions effectively.
• Uses a combination of deep learning techniques and traditional bioinformatics methods to enhance prediction accuracy.

2. OmegaFold

Creator: Helixon

Pros:

• Predicts protein structures from a single primary sequence.
• Uses a protein language model and a geometry-inspired transformer model for predictions.
• Suitable for orphan proteins and fast-evolving proteins
• Does not rely on multiple sequence alignments (MSAs), unlike other models.
• Less dependent on extensive evolutionary data.
• Broad applicability to various protein types.
• Shows comparable accuracy to AlphaFold and RoseTTAFold on benchmark datasets like CASP and CAMEO

Cons:

• May face challenges in achieving consistent accuracy across all types of proteins compared to models like AlphaFold.

Training Method:

• Trained on unaligned and unlabeled protein sequences.
• Uses deep transformer-based models to learn residue representations.

Learn more about: Alphafold vs OmegaFold

3. I-TASSER

Creator: Yang Zhang and his team at the University of Michigan.

Pros: 

• Uses an iterative threading assembly refinement approach for protein structure prediction.
• Capable of function prediction through structure-based annotations.
• Provides up to five full-length atomic models, ranked by cluster density, with estimations of accuracy, including TM-scores and RMSD​.

Training Method:

• Employs multiple threading approaches to identify structural templates from known protein data.
• Constructs full-length atomic models using iterative template-based fragment assembly simulations.
• Uses a meta-server threading approach, LOMETS, for template identification​. 
• Provides comprehensive outputs including predicted models, secondary structures, solvent accessibility, and functional annotations.
• Known for achieving high accuracy in structure prediction as demonstrated in various CASP competitions.
• Generates multiple models allowing selection based on confidence scores.

To learn more Visit I-TASSER

4. Phyre2

Creator: Lawrence Kelley’s team at the Structural Bioinformatics Group, Imperial College London.

Pros:

• Employs “one to one threading” which allows users to model a sequence against a specific template of their choice, enhancing the accuracy when additional biological information is available.
• Includes tools like “BackPhyre” for scanning existing structures against genomes, and “Phyrealarm” for ongoing matching against newly added structures in the database.
• Integrated with “3DLigandSite” for high-accuracy binding site prediction.
• Provides a user-friendly web interface that is accessible to researchers without deep computational expertise.
• Offers a range of predictive and analytical tools that go beyond simple structure prediction.

Cons:

• While Phyre2 is highly effective for many common protein modelling tasks, its reliance on existing templates may limit its effectiveness for highly novel or poorly characterised proteins compared to methods like AlphaFold, which can predict structures without clear homologous templates​​.

Training Method

• Phyre2 uses advanced homology detection methods to model protein structures based on their alignment with known structures. It leverages a combination of hidden Markov models and heuristics to enhance sequence coverage and model confidence.

Explore more about Phyre2

5. ESMFold

Creator: Meta

Pros:

• ESMFold is based on a 15 billion parameter Transformer model and does not rely on multiple sequence alignments (MSAs), differing from models like AlphaFold2 which require MSAs.
• It can make predictions directly from amino acid sequences, significantly speeding up the inference process.
• ESMFold achieves similar accuracy levels to state-of-the-art models but is significantly faster, predicting structures up to 60 times faster than AlphaFold2 for certain sequences.
• The model was also designed to handle large-scale structure predictions efficiently, capable of predicting structures for one million protein sequences in less than a day.
• Does not require external databases or MSAs, simplifying the protein folding prediction process.

Training Method

• ESMFold uses a Transformer-based language model, specifically the ESM-2 model, which learns interactions between pairs of amino acids in a protein sequence.

Cons

• Since Meta disbanded the team behind ESMFold, it might not have new features anytime soon.

Explore ESMFold in GitHub

6. SWISS-MODEL

Creator: Torsten Schwede and his team at the Biozentrum of the University of Basel and the Swiss Institute of Bioinformatics.

Pros:

• Provides a user-friendly, web-based platform for automated comparative protein structure modelling.
• Integrates tools for structure assessment and comparison, such as QMEAN for model quality estimation.
• Allows users to explore structural templates interactively and visualise them in 3D within the browser.
• Free for academic use and supports a wide range of functionalities beyond basic modelling.
• Integrated with major biological databases and bioinformatics tools, enhancing its utility in research.
• SWISS-MODEL is specifically designed for ease of use, allowing even non-experts to perform protein modelling.
• It supports a wide range of functionalities, including modelling homo-oligomeric assemblies and incorporating ligands into the models.

Cons:

• While highly effective for known protein families, its accuracy may decrease for proteins with less characterised or more distant homologues.

Training Method

• Utilises homology modelling, relying on evolutionary information to predict protein structures by identifying and using known protein structures as templates.
• Employs algorithms to find the best match between the target sequence and available templates, optimising the alignment to predict the structure.

Explore: More about SWISS-Model

7. Robetta 

Creator: Baker Lab at the University of Washington.

Pros

• Offers both template-based and de novo protein structure prediction.
• Users can input custom sequence alignments, apply constraints, and utilise local fragments in their modelling tasks.
• Includes RoseTTAFold, enhancing its prediction accuracy and speed.
• Robetta allows for user-interaction in the modelling process, offering customisation that automated systems like AlphaFold do not typically allow.
• It integrates machine learning techniques with traditional comparative modelling approaches.

Cons:

• Can experience long wait times due to the high demand and computational intensity of deep learning methods.
• The accuracy can vary based on the availability and quality of templates or the effectiveness of the de novo modelling.

Training Method:

• It utilises the Rosetta software suite’s tools, combining methods from comparative (homology) modelling and de novo structure prediction.
• It has incorporated deep learning methods, specifically RoseTTAFold, which uses a three-track network for structure prediction.

Explore more about Robetta

8. HHPred

HHpred is a sophisticated bioinformatics tool for protein homology detection and structure prediction developed by the group at the Max Planck Institute for Developmental Biology. Here’s a concise summary of HHpred:

Creator: Max Planck Institute for Developmental Biology.

Pros:

• Implements pairwise comparison of profile hidden Markov models (HMMs), making it highly effective for detecting remote homologs.
• Capable of searching a vast range of databases including PDB, SCOP, Pfam, SMART, COGs, and CDD.
• HHpred is unique in its use of HMMs for both the query and database sequences, allowing for more sensitive detection of homologies than methods based on sequence-sequence comparisons.
• Provides detailed alignments and the option to predict 3D structures via MODELLER if a suitable template is found.
• Highly sensitive in detecting homology, even among distantly related proteins.
• Integrates with multiple databases and allows comprehensive analysis across different data sources.

Cons:

• While powerful, the complexity of its setup and the need for specific alignments may pose challenges for less experienced users.

Training Method

• Leverages profile-profile comparison methods, which are among the most sensitive sequence search techniques.
• Profiles are created from multiple sequence alignments of related sequences, enhancing the accuracy of homology detection.

Explore more about HHPred

9. AlphaFold-Multimmer

Creator: Google DeepMind

Pros:

• Built on AlphaFold2, it is engineered to tackle the complex prediction of protein-protein interactions, which involves understanding how multiple protein chains fit together.
• Unlike its predecessor, which primarily predicts the structure of individual protein chains, AlphaFold-Multimer predicts the inter-chain interactions and the arrangement of proteins in a complex.
•  It achieves high accuracy in interface prediction, which is critical for functional analysis of proteins within their biological context.
• Increases the scope of computationally accessible protein structure prediction to include complex assemblies.

Cons:

• The computational demand is high, possibly limiting accessibility for some researchers without access to significant computing resources.

Training Method:

• AlphaFold-Multimer uses deep learning algorithms trained on publicly available data of known protein structures. This includes training specifically for multimeric inputs to enhance the accuracy of interface predictions between different protein chains.

Explore more about AlphaFold-Multimmer

10. CollabFold

Creator: Milot Mirdita, Sergey Ovchinnikov, and Martin Steinegger

Pros:

• Integrates AlphaFold2 and RoseTTAFold with MMseqs2 for fast multiple sequence alignment, significantly accelerating protein structure predictions.
• Operates as an easy-to-use, notebook-based environment on Google Colab, making advanced protein modeling accessible without requiring installation or high-end hardware.
• Capable of predicting close to a thousand structures per day with a single GPU
• Unlike standalone AlphaFold2 which requires more extensive computational resources, ColabFold optimizes resource use via Google Colab, making it accessible to a broader audience.
• Its integration with MMseqs2 speeds up the homology search process, making it much faster than traditional methods.

Training Method:

• Utilises existing trained models from AlphaFold2 and RoseTTAFold and combines them with MMseqs2 for rapid sequence alignment and improved prediction accuracy.

Cons:

• Dependent on Google Colab’s resources, which can limit the size of proteins analyzed due to memory constraints on available GPUs.
• While it offers significant speed and accessibility, the precision for extremely complex structures might still lag behind more resource-intensive setups.

Explore more about CollabFold

The post Top 10 DeepMind AlphaFold 3 Alternatives in 2024 appeared first on AIM.

In January, the Delhi Police solved a ‘blind case’ with the help of AI. A 30-member team used the technology to reconstruct the face of an unidentified victim and then circulated the image to gather information.

Advance your skills in data science, machine learning and artificial intelligence by participating in latest AI Hackathons

The AI-generated image, showing the victim’s face with open eyes and a modified background, was uploaded on the Crime and Criminal Tracking Network (CCTN) website. The victim’s brother recognised the person in the picture and contacted the police, resulting in the identification of the deceased individual.

This milestone, however, merely scratches the surface of AI’s potential. Across the globe, countries like the USA, the UK, Japan, and Singapore are actively harnessing AI to combat various forms of criminal activity.

In one of the reports, Armando Aguilar, the Miami assistant police chief noted, “Before AI, the police department was only able to arrest suspects in 45% of murders and less than 38% of violent crimes. However, after it started using the technology in 2023, it solved 68% of the murders that occurred that year and 58% of the violent crimes.”

As the efficacy of AI in crime-solving continues, here are 9 AI models poised to revolutionise crime detection and prevention.  

1. Video and Image Analysis

AI video and image algorithms are capable of developing and determining their own independent complex facial recognition features/parameters. These algorithms excel in matching faces, recognising weapons and various objects, and detecting events like accidents and ongoing or past criminal activities. 

In Malaysia, researchers are actively working on AI software tailored for CCTV cameras to curb street crimes. This software operates independently, analyzing camera footage to identify potential criminal activities. 

According to the researchers, the software is multifunctional, capable of detecting weapon possession, aggressive behaviours, and alerting law enforcement of suspected crimes.

2. DNA Analysis

During a crime, biological material like blood, saliva, semen, and skin cells can be transmitted through contact with people and objects. And with advancements in the DNA technology, we can now detect even small amounts of DNA collected from these biological samples. 

Further, to identify and differentiate DNA from multiple individuals, including those not connected to the crime, researchers have worked to explore a new method. 

They used a hybrid approach of combining human analysts and AI algorithms supported by the National Institute of Justice research award to overcome the limitations of using only one method. 

3. Emergency Call Software

According to the World Health Organisation, 1 in 3 (30%) of women worldwide have been subjected to domestic violence in their lifetime. To address this issue, a UK-based start-up Untrite AI has designed an AI emergency call software. 

Drawing from two years’ worth of historical data related to domestic abuse calls provided by Humberside Police, the system is trained to recognise patterns and prioritise urgent situations effectively.

4. NarcGuideBot

Quadrant Technologies Confidential has developed NarcGuideBot, an AI-powered assistance in Narcotics Investigations. The tool is designed to help inexperienced officers in complex drug enforcement.

Further, the tool expedites form-related tasks by simplifying form access, providing accurate filling instructions, and ensuring legal compliance through error-detection systems. 

5. Gunshot Detection

Another advancement in AI is to identify unknown shootings. Sensors are installed in multiple infrastructures that are linked to cloud-based programs. These sensors record when and where guns are fired, and further aid in determining the location of the shooter. 

The recorded data is then forwarded to the police stations and displayed as a pop-up notification on a computer or mobile device. 

6. Predictive Analysis

Predictive analysis, which uses large volumes of data to forecast and formulate potential outcomes, is a job that requires many years of expertise. But with AI, volumes of information on the law and legal precedence, social information, and media can be used for rulings, identifying criminal enterprises, and predicting people at risk.

Utilising algorithms, the Chicago Police Department collaborated with the Illinois Institute of Technology to gather data and create initial groupings. These groupings are centred on building social networks and conducting analyses to identify potential high-risk individuals.

7. Blood Pressure Prediction

Machine learning and deep learning techniques for blood pressure prediction might not directly aid in crime solving, but they could contribute to forensic investigations, and criminal and victim profiling in certain cases. 

In crime scenes where blood pressure data is available, such as from medical records or wearable devices, machine learning algorithms could analyse this data along with other evidence to reconstruct events leading up to a crime. 

8. Facial Emotion Recognition 

Using the hybrid DL architecture based on Convolutional Neural Networks and Stacked AutoEncoder, the facial expression recognition (FER) feature is developed to enhance crime-solving capabilities. This includes suspect and victim identification, sentiment analysis, behavioural analysis, and crime scene analysis. 

For instance, during police interrogations, suspects may attempt to conceal their true emotions. FER systems can aid in detecting deception by analysing subtle changes in facial expressions, which could indicate lying or discomfort.

9. Crime GPT

In a groundbreaking development in India, Crime GPT, an AI tool created by Staqu Technologies, helped the UP Police catch criminals. 

Crime GPT can quickly extract information about individuals through both written and spoken inquiries. Its features, including facial and vocal recognition, along with the analysis of criminal networks, promise to streamline investigative processes.

By tapping into digital criminal databases, Crime GPT equips police departments with insights, facilitating specific details about their queries.

Crime GPT is an extended version of Staqu Technologies’ tool Trinetra. It is renowned for its proficiency in tracking criminals via facial and vocal cues. With Trinetra, the UP Police have a database with information on over 900,000 criminals.

The post 9 AI Tools for Solving Crime, Narcotics, and Murder Investigations in 2024 appeared first on AIM.

Whether you’re a content creator, developer, or entrepreneur, these AI-powered websites offer solutions to streamline your workflow and accelerate project completion. From video editing to book writing and chatbot development to content generation, these platforms harness the latest AI tech to supercharge your productivity.

Here are 10 AI websites that will help you finish months of work in just a day.

1. Framedrop AI

Framedrop is an AI tool that can process your YouTube and Twitch streams and find all of your best moments automatically to create short-form videos, such as TikToks, YouTube Shorts, and Instagram Reels. This eliminates the need for creators to spend long hours manually editing their content by offering a wide array of features to repurpose their content and reach new audiences.

It accommodates all types of conversational content from podcasts to interviews and vlogs to stand-up comedy, and currently supports 25 languages. Also, you don’t need to download any software to use it. Framedrop enables creators to process up to five hours of content each month with no signup required. 

The free signup increases this allowance to 8 hours per month. And, creators that subscribe to the Pro Plan get 40 hours a month and additional benefits like multi-video processing and priority queue.

Turn any video into shorts with Framedrop AI

2. PopAi

PopAi is like your personal AI workspace that lets you talk to your images and documents, providing instant answers, summaries, and insights. It can accommodate many document formats, including PDFs, Word files, and text documents, and supports over 200 languages.  

One can think of it as a creative partner that takes on tasks such as completing assignments,  retrieving information, generating images, optimising resumes and CVs, crafting compelling copy, devouring books, designing flowcharts, and creating dynamic PowerPoint presentations. 

It can also write SEO blogs and academic essays as well as debug code. 

3. Numerous AI

Numerous.ai offers a simple, powerful, and cost-effective solution for using ChatGPT inside Google Sheets and Excel. You can use it to automate tasks like categorising, extracting text, and cleaning data. It’s also great at summarising, rewriting, and translating content. 

It can research and organise digital marketing campaigns by generating AdWords keywords, ad copy, etc; can summarise, categorise, classify & cleanse large bodies of open-ended text such as articles, user surveys, or social media content. 

It can also generate topic ideas, schedule social media posts, and create varied content for different audiences from a single prompt. It also allows you to experiment with various prompt structures, prototype AI features, and collaborate on GPT input and outputs.

4. Murf AI

Murf.ai lets you go from text to speech with a versatile AI voice generator that allows you to make studio-quality voice-overs in minutes. You can use its lifelike AI voices for podcasts, videos, and professional presentations. Be it creative, corporate, or entertainment purposes, the platform has a voice for your every need. 

It lets you choose from over 120+ text to speech voices in 20+ languages. Using it, you can upload your creatives and sync it with the voice of your choice. Murf also allows you to play with pitch, punctuations and emphasis to make the AI voices carry your message as you like.

5. Stockimg AI

Stockimg.ai is an excellent design tool that lets you generate everything from illustration, stock image, art, logo, wallpaper, poster, book cover to QR code. It enhances your design process, helping you save your time and money.

With Stockimg AI as your designing agent, you can simplify content creation by generating unique images using AI. 

6. Momen

Momen lets you design, develop, and scale your apps without code so that you can build your custom apps from frontend to backend with a simple drag-and-drop editor. This powerful no-code tool revolutionises web application development, allowing entrepreneurs to launch their products faster and more affordably. 

Its fully visual interface allows users of any technical level to build dynamic, responsive applications with professional design quality; pixel-perfect and fully responsive. Momen takes care of hosting and provides robust and scalable infrastructure, while also offering enterprise-grade features and security to support business growth.

Start your no-code journey with Momen.

7. Bookwiz

Bookwiz is an AI tool that helps you write and publish quality books fast. The platform leverages GPT-4 to assist authors in the book-writing process, including brainstorming ideas, creating characters, outlines, and chapters. 

It offers a user interface designed specifically for book writing, incorporating an advanced editor and structured guidance. The platform also fosters a writing community, facilitating easy sharing and feedback on your work.

Using Midjourney for image creation, it enables you to add beautiful visuals to your pages, chapters, and covers. Also, you can export your book to PDF, EPUB, or MOBI, and publish to Amazon, Apple Books, and more.

Write your book with Bookwiz.

8. Chatsimple

With Chatsimple, an AI-powered chatbot builder, anyone can create customised chatbots for their business website in just minutes, with no coding required. It uses advanced AI like GPT-4 to power chatbots and is trained on a business’s website content and data to understand the business. 

Using it, you can get a chatbot customised to your business and can talk to customers 24/7 in over 175 languages. It can help you change the way your customers interact with your website by providing you with a superior sales agent skilled in engaging conversations, booking meetings, lead qualification, and follow-up & closure.

Use cases include customer support, lead generation, and market research among others. It can be embedded on your website, Facebook, Instagram and more. An API is available for custom integrations. Also, you can create unlimited chatbots based on your plan.

9. Submagic

Submagic enables you to make your short-form videos more captivating with captions, B-rolls, zooms and sound effects. 

From generating video captions for your video in over 48 languages, adding music and sound effects to create an immersive experience, enhancing your videos with strategic zooms and automatic cuts to enhancing your narrative with stock videos and transitions, it helps you easily boost your reach and engagement with the power of AI. 

10. RecCloud

RecCloud is your go-to AI tool for all-in-one video editing solutions including subtitles generator, speech-to-text or text-to-speech, AI vocal remover, trim/crop/merge videos, among others. It offers professional recording and editing API services, complemented by comprehensive API documentation and straightforward integration procedures.

Its services cater to diverse industries including online education, live streaming, conferences, gaming, and more.

The post 10 New AI Tools in 2024 to Accelerate Your Workflow appeared first on AIM.

Deepfakes, synthetic media manipulated using artificial intelligence (AI), have become a powerful tool for generating realistic and engaging video and audio content. Hoffman’s twin edition is flooding social media as he has created something like this for the first time.

A user on X suggested, “Absolutely worth viewing, regardless of your interest in deepfake AI or not. Reid’s interview with his AI twin provides genuinely insightful moments and valuable insights.”

In a Reddit discussion, a user said, “I totally get what you’re looking for, and I’ve had a fantastic experience with Hipclip.ai. It’s my go-to for AI-generated videos based on transcripts. The tool allows you to maintain control over the visuals and closed captions, ensuring they align perfectly with your provided transcript. I’ve used it for YouTube Shorts, and the results were impressive. Try this tool, and I’m sure you’ll be delighted with the outcome.” 

Here are 10 deepfake AI tools for content creation that makes the job easier.

1. DeepFaceLab 

DeepFaceLab, the premier software for crafting deepfakes, commands over 95% of the market. Open-source and compatible with Windows, it leverages machine learning algorithms and GPU acceleration to generate top-tier fake videos. 

Offering a plethora of features such as face replacement, de-aging, and head swapping, DeepFaceLab caters to both novice and expert users. While mastering it may demand some technical know-how and tutorial guidance, its expansive array of features and customisation options ensures the creation of professional-grade deepfakes.

2. Reface AI 

ReFace AI is an advanced technology that combines artificial intelligence and machine learning to enable users to swap faces in videos and images, creating realistic and entertaining content. 

Maintaining fine details like texture, wrinkles, and shadows is crucial for effective results. ReFace AI employs feature extraction techniques to preserve these intricacies, intelligently blending the original and target faces for seamless, high-quality output. 

3. Faceapp 

Faceapp generates highly realistic transformations of human faces in photographs by using neural networks based on artificial intelligence.The app can transform a face to make it smile, look younger, older, or change the gender. 

There are multiple options to manipulate the photo uploaded such as editor options of adding an impression, make-up, smiles, hair colors, hairstyles, glasses, age or beards. Filters, lens blur and backgrounds along with overlays, tattoos, and vignettes are also a part of the app. 

4. Wombo 

CEO Ben-Zion Benkhin developed Wombo. The application allows users to take a new or existing selfie and then select a song from a curated list to create a video that artificially moves the selfie’s head and lips in synchrony with the song. 

The app works for any and all images resembling a face, though it performs best with three-dimensional characters facing the camera straight on. It’s perfect for sharing funny videos on platforms like TikTok and WhatsApp. 

5. Facemagic 

FaceMagic is an AI-driven face-swapping application available on both Android and iOS platforms. Featuring a user-friendly interface, it simplifies the process of replacing faces in both videos and images. 

This app offers a fresh twist to traditional selfies and pictures, empowering users to unleash their creativity. Whether crafting memes, animating friends, or inserting oneself into beloved TV shows and movies, FaceMagic opens up a world of imaginative possibilities.

6. DeepNostalgia 

DeepNostalgia, crafted by MyHeritage, is a remarkable app delving into deepfake technology, breathing life into old photographs and resurrecting ancestors from the past. Through a blend of computer vision and deep learning, it offers a poignant means for users to engage with their family’s heritage. 

Accessible on both Android and iOS platforms, this app employs cutting-edge deep learning algorithms to deliver remarkably realistic facial animations, fostering profound connections with our familial past.

https://youtube.com/watch?v=N12g3oDzOPo%3Ffeature%3Doembed

7. Faceplay

FacePlay is another great deepfake app on our list and very similar to the Reface app. The app offers several videos, pictures, and GIF templates; some of which can be used for free. To use the app, all you need to do is upload your picture, select a template, and the app will generate magic avatars of you without any complicated steps, thus saving you a lot of waiting time.

It provides a wide range of features such as animating live photographs over 3000 costume video templates, and much more.

8. DeepBrain 

DeepBrain is a deepfake software that stands out because of its capability to create highly authentic and visually stunning fake videos. Utilizing advanced AI techniques, DeepBrain has become a popular choice for users who want to create authentic deepfake video content that is professional in quality. 

It also has an effortless and reliable face-swapping ability. DeepBrain offers an intuitive interface permitting novice and expert users to discover its countless capabilities for making stunning fake videos.

9. Jiggy 

Jiggy is a deepfake app that allows users to make people in photos dance by swapping their faces on animated bodies. The app uses AI technology to create photorealistic body deepfake videos, enabling users to instantly transform static images into dancing GIFs. 

Its features include swapping faces from photos onto animated dancing bodies to create funny, dancing GIFs and accessing an always-up-to-date catalog of clips and movies to swap faces with top actors and VIPs. 

New Orleans Are You Ready For…#zionwilliamson #nba #pelicans #pels #neworleans #la #bigeasy #lonzoball #zo pic.twitter.com/MPeWzGScc9

— Jiggy (@Jiggy_app) November 3, 2019

10. Zao 

Zao, a Chinese application, is a face-swapping tool that employs deepfake technology, enabling users to seamlessly integrate their faces into scenes from various movies and TV shows. Among its notable features, Zao offers a diverse library of clips from popular media for users to select from. 

The app walks users through a simple process of capturing a series of photos to accurately map their faces onto the chosen clip. Originally designed to spark playful interactions on social platforms, Zao has brought the capability of crafting deepfake videos to the fingertips of millions.

Read more at: How to Combat AI-Generated Nude Photos with StopNCII

The post Top 10 Deepfake AI Tools to Help You Create Video Content within Minutes appeared first on AIM.

Last year, Microsoft Excel underwent a significant upgrade with the announcement of a public preview of Python integration. This meant that developers and data analysts no longer needed to install additional software to utilise Python’s capabilities, as Excel now came bundled with built-in connectors and power query for Python integration.

The integration of Python into Excel fulfils a long-standing developer goal, replacing reliance on tools like Pandas read excel, OpenPyXL, and PyXLL. With Excel’s continued popularity for data analysis, this integration signifies a significant advancement, promising to modernise data analysis within the software. 

By enabling Excel users to directly access Python’s robust libraries for data analysis and visualisation within the Excel environment, this enhancement greatly improves users’ data analysis capabilities.

Best AI Tools to Automate Excel Task in 2024

Here’s a compilation of 10 AI tools that expedite Excel tasks.

1. Equals

Bobby Pinero, CEO, introduced Equals, a cloud-based spreadsheet application that bridges the gap between one-size-fits-all and complex data platforms. 

Equals’ key feature is its capability to link spreadsheets directly to data sources. It offers pre-built connectors to popular databases such as PostgreSQL, MySQL, Snowflake, and others, enabling users to write queries that fetch live data.

Equals Uses AI To Bring Unprecedented Capabilities To Spreadsheets

2. Tomat AI

Ofer Ronen, CEO, introduced Tomat.AI, a desktop application designed for effortless handling of large CSV or Excel files. It enables users to open, explore, and analyse data without the need for coding. With its intuitive drag-and-drop interface, users can easily filter, sort, merge, and transform data.

With a familiar Excel-like interface, it streamlines tasks sans coding, and features advanced filters, sorting, and grouping. Compatible with Windows, macOS, and Linux, it supports Excel files, PostgreSQL, and Snowflake connectors, transcending from CSV.

3. Julius AI

Julius, is an AI tool designed to excel in data analysis and enhance one’s Excel experience.  It allows users to seamlessly read and interpret Excel documents while delving into sophisticated analyses such as regression and cluster analysis. 

Julius’ ability to create striking graphs and charts elevates your data visualisation, making it the ultimate Excel AI companion for a wide range of analyses. Unlock the full potential of your data effortlessly with Julius.

4. ChatCSV

ChatCSV is a software tool crafted to aid users in querying their CSV documents and creating visual charts to grasp trends, customer behaviour, and inventory management insights. 

With AI capabilities, ChatCSV streamlines data analysis. Users only need to upload their CSV file and begin asking questions. The AI within ChatCSV understands user queries and responds in simple language, presenting an intuitive interface for data exploration.

5. Sheetplus AI

 Sheet+ is an AI-powered tool that aims to transform how individuals interact with spreadsheets. It provides a range of features to aid users in crafting precise formulas for Google Sheets and Excel from text, simplifying formula comprehension, debugging, and more. 

Recognising the uniqueness of each dataset, it offers personalised suggestions and regular backups to reduce manual input while maintaining utmost accuracy and data security. Additionally, its collection of predefined formulas guarantees immediate access to any required equation for your project. 

6. Formula God

Ellis Dunne, the founder of Formula God, created an AI-powered tool that empowers users to leverage artificial intelligence to summon answers and execute previously challenging tasks within Google Sheets. 

Formula God simplifies the analysis of Google Sheets data, effortlessly generates tables, graphs, and formulas in real-time. With Formula God, users can access AI-generated formulas tailored to their specific data requirements and seamlessly apply them to their sheets with just a simple command.

7. Chartify

Chartify, an AI-powered data visualisation tool, streamlines the creation of stunning charts from uploaded data. It offers a range of chart types from various libraries like Plotly and Seaborn. 

This tool frees users from the tedious process of using chart editors in Google Sheets or Excel or manually coding visualisations in Plotly. It introduces a fresh and engaging approach to data exploration and interaction. 

8. Simple ML

Simple ML for Sheets is a no-code machine learning add-on for Google Sheets. It’s a tool that enables users to apply basic machine learning techniques (like sentiment analysis, classification, and regression) directly within Google Sheets, the spreadsheet program.

It utilises a decision tree algorithm called Yggdrasil Decision Forests, which is the same algorithm behind TensorFlow Decision Forests. Yggdrasil Decision Forests is scalable and efficient, making it suitable for training models on large datasets.

9. Sheet AI

Sheet AI is a powerful tool that leverages AI to streamline spreadsheet tasks. With advanced algorithms, it automates complex calculations and utilises GPT-3’s capabilities within Google Sheets. 

It offers four custom functions: =SHEETAI for prompt responses, =SHEETAI_RANGE for data-based queries, =SHEETAI_IMAGE for image creation from descriptions, and RANGESTRING for range-to-string conversion.

With SheetAI, users seamlessly integrate AI into their Google Sheets workflow, automating mundane tasks and boosting productivity. The tool boasts a user-friendly interface, making it intuitive for users to effortlessly leverage AI within their spreadsheets.

10. Rows

 Torben Schulz, founder of Rows, created an advanced spreadsheet tool infused with AI capabilities. Rows allows users to import data from various sources, including over 50 integrations like Facebook Ads, Google Sheets, and Stripe, simplifying data analysis across platforms.

Users can prompt the AI to conduct trend analysis, generate graphs, or offer tailored insights effortlessly. With just a single click, it produces visually appealing line charts, bar charts, and more. Additionally, it automatically categorises and tags any text to enhance clarity within unstructured data.

The post 10 AI Tools to Complete Excel Tasks in Minutes 2024 appeared first on AIM.

The Sora moment for music is finally here with new-age apps mushrooming in the space. However, a recent study shows that over 71% of musicians fear AI. A few days ago, more than 200 musicians, including Katy Perry, Billie Eilish, Jon Bon Jovi, the estate of Bob Marley and Frank Sinatra, urged tech companies to stop using AI to create music. 

While there exists fear, many artists are embracing AI in their concerts and production. Pop queen Madonna recently used an AI text-to-video tool to create visuals for the giant screens behind her while performing. 

Recently, AI-generated a Punjabi-themed Bollywood-inspired song overlaid onto the ‘Kala Chashma’ video.

Best AI Music Generator from Text in 2024

10 Most Popular Text to Music and Song Generators

Let’s look into the Top 10 music generation and text-to-music platforms. 

1. Suno.ai

Suno.ai is a generative artificial intelligence music creation program, engineered to create authentic songs, blending vocals and instrumentation seamlessly. It has been readily accessible since December 20, 2023, following the rollout of a web application and a collaboration with Microsoft. This collaboration led to Suno being integrated as a plugin in Microsoft Copilot. 

The founders, Michael Shulman, Georg Kucsko, Martin Camacho, and Keenan Freyberg, all worked for Kensho, an AI startup, before starting their own company in Cambridge, Massachusetts. This innovative platform revolutionises music creation by transforming ideas or prompts into captivating songs. 

2. Udio

Udio, the groundbreaking AI music generator, hit the public with its free beta launch last week. Conceived in December 2023 by a team of ex-Google DeepMind researchers led by CEO David Ding, Udio quickly garnered attention for its remarkable vocal synthesis capabilities. 

Udio’s knack for producing top-notch music from straightforward text prompts has earned it the nickname ‘ChatGPT for music’.

Udio operates by crafting songs based on textual prompts, spanning a diverse array of genres including barbershop quartet, country, classical, hip hop, German pop, and hard rock, among others. 

3. Boomy 

Boomy was introduced by Alex Mitchell and Matthew Cohen Santorelli in 2019. It’s an AI music technology platform that empowers everyone to create and share music and allows users to effortlessly generate original songs with minimal effort. 

It offers a range of features that make it easy to create music. Boomy’s AI algorithms are trained to generate music based on user input, allowing them to customise their songs and create something entirely unique. 

The platform was introduced to democratise access to powerful AI algorithms and provide an accessible entry point into the world of music production.

4. MusicLM

Google Music LM, an AI-based text-to-music model, was announced earlier this year. Their paper explained MusicLM, a model generating high-fidelity music from text descriptions, as “a calming violin melody backed by a distorted guitar riff”.

MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modelling task, and generates music at 24 kHz that remains consistent over several minutes. 

Further, MusicLM can be conditioned on both text and melody. It can also transform whistled and hummed melodies according to the style described in the text caption. 

5. Soundful

Soundful, an AI music platform introduced by CEO Diaa El All, launched the ‘Soundful Collabs’ campaign, blending AI-generated music with the expertise of renowned artists and producers.

The campaign aims to encapsulate the unique musical essence, or “Sonic DNA”, of top-tier figures in the industry, including 3LAU, Autograf, CB Mix, DJ White Shadow, Kaskade, and Starrah. This collaborative effort allows users to create customised tracks resembling those of their favourite artists. 

6. Mubert

Founder and CEO Alexey Kochetkov, armed with degrees in computer science and music education, birthed Mubert from his dual expertise. With this innovative platform, Kochetkov aims to revolutionise the music industry, providing cost-effective solutions for video game streamers, voice assistant developers, and various other sectors. 

Mubert AI heralds a groundbreaking era in music creation, harnessing the prowess of AI. Through its AI-driven engine, Mubert crafts royalty-free music tailored for content creators, developers, and artists alike. 

7. Riffusion

Riffusion, a neural network designed by Seth Forsgren and Hayk Martiros, brings a unique approach to music generation. Building upon the foundation of Stable Diffusion, an existing open-source model known for generating images from textual prompts, Riffusion refines this concept by operating on spectrograms. 

This innovative adaptation enables the model to interpret text prompts and generate corresponding image files. These images can then undergo an inverse Fourier transform, ultimately producing audio files, described as “de otro mundo” (otherworldly). The music generated by Riffusion captivates listeners with its ethereal quality.

8. Voicemod 

Jaime, Fernando, and Juan Bosch – the brothers launched Voicemod in 2014, introducing a groundbreaking text-to-song AI generator compatible with browsers. Among Voicemod’s innovative features is VoiceLab, allowing users to craft custom voices using a blend of audio controllers and effects like pauses, reverb, vocoder, filter, and pitch shifters. 

Voicemod seamlessly integrates with all gaming and communication applications. The platform expanded its AI technology into the realm of music with Voicemod Text to Song. This new feature simplifies the music creation process. Just select your desired track, pick your AI singer, write your text, and you’re done!

9. Beatoven

Mansoor Rahimat Khan & Siddharth Bharadwaj, Co-founder and CEO founded Beatoven.ai in 2021, leveraging advanced AI music generation techniques to craft background music tailored for video, podcast, and game creators. 

The genesis of Beatoven.ai emerged from the founders’ acknowledgment of a significant demand for original, royalty-free music suitable for commercial use. Positioned as India’s pioneering AI-backed music tech startup, Beatoven.ai, provides a platform for music composers to create affordable royalty-free tracks. 

10. AudioCipher

AudioCipher is a unique MIDI plugin that allows users to generate melodies and chord progressions from text input. Launched in January 2021, it creates music based on user-specified parameters. The plugin outputs MIDI data directly into the user’s DAW for easy integration with instrument tracks. 

Instead of purely randomised sequences, AudioCipher uses a substitution cipher to map text input to a core MIDI sequence. This taps into the inherent connections between language and music, providing a unique way to spark musical ideas and overcome creative blocks.

The post Top 10 AI Music Generator from Text in 2024 – Suno AI Alternatives appeared first on AIM.

Devin, the world’s first AI engineer by Cognition Labs, took the internet by storm with its ability to write code from scratch, fix bugs, and deploy solutions, aiming to automate aspects of the software development process. However, Devin is not the only AI autonomous agent available

Here is the list of top Devin alternatives.

Top Devin AI Alternatives for Coding Automation in 2024

1. Devika 

Devika is an open-source AI software engineer created by Mufeed VH (Hamzakutty), the founder of Lyminal and Stition.AI.  It is  capable of understanding human instructions, breaking them down into tasks, conducting research, and autonomously writing code to achieve set objectives. 

Devika aims to be a competitive open-source alternative to Devin by Cognition AI. It  utilises LLMS, planning and reasoning algorithms, and web browsing abilities to intelligently develop software. 

One of Devika’s key strengths lies in its ability to function as an AI pair programmer, reducing the need for extensive human intervention in complex coding tasks. 

Devika simplifies software development processes, whether it’s creating new features, debugging code, or developing entire projects from scratch, thereby enhancing efficiency.

The main difference between Devin and Devika, apart from the latter being open source, is that Mufeed used Claude 3 instead of GPT-4 for Devika. 

2. Replit Code Repair 

Replit’s Code Repair is a low-latency code repair AI agent. It utilises LLMs trained on a massive dataset of code examples and their corresponding fixes. This allows the LLM to analyse your code and identify potential errors or inefficiencies.

Replit took a 7B Code LLM and fine tuned it into a tool that mimics the behavior of LSP Code Actions. The special ingredient is in the training data — a careful mixture of real-world errors (collected on Replit) combined with synthetically-generated code fixes.

Replit’s approach involves using Operational Transformations (OTs) and session events to create a dataset of (code, diagnostic) pairs. They synthesise diffs using large pretrained code models and fine-tune them for code repair tasks.

Explore: Latest News & Stories About Replit

3. SWE Agent

SWE Agent is also an open-source alternative to Devin, much like Devika, developed by a team led by John Yang, Carlos E. Jimenez, and Alexander Wettig at Princeton University. It turns language models like GPT-4 into software engineering agents that can fix bugs and issues in actual GitHub repositories.

On the full SWE-bench test set, SWE-Agent resolves 12.29% of issues. The key to SWE-Agent’s success lies in its innovative Agent-Computer Interface (ACI), which streamlines the interaction between the language model and the code repository. 

Unlike traditional approaches, SWE-Agent’s ACI simplifies commands and feedback formats, making it easier for the model to navigate, edit, and execute code files within the repository. Developers can easily set it up using Docker and Miniconda, following straightforward installation and configuration steps outlined in the project’s documentation.

4. OpenDevin 

OpenDevin is an open-source project aiming to mimic Devin, an AI software engineer. Similar to Devin, OpenDevin aspires to handle various aspects of software development, potentially including, Code Generation, Debugging, and Deployment Automation

The alpha version is available for testing, showcasing its ability to handle complex tasks and collaborate with users.

The project is focusing on key milestones creating a user-friendly interface with chat and command features, building a stable backend for commands, improving the agent’s capabilities, and setting up an evaluation pipeline.

Explore: Latest News & Stories About Devin

5. MetaGPT 

MetaGPT is a multi-agent framework that in itself acts as a virtual software company.  It takes a one-line requirement and outputs user stories, competitive analysis, requirements, data structures, APIs, and documents. 

MetaGPT includes product managers, architects, project managers, and engineers, following carefully crafted Standard Operating Procedures (SOPs). 

Explore: Latest News & Stories About Meta

6. ChatDev 

Similar to MetaGPT, ChatDev stands as a virtual software company that operates through various intelligent agents holding different roles, including Chief Executive Officer , Chief Product Officer , Chief Technology Officer , programmer , reviewer , tester , art designer.

These agents form a multi-agent organisational structure and are united by a mission to “revolutionise the digital world through programming.”They collaborate through specialised functional workshops at ChatDev, engaging in activities like design, coding, testing, and documentation.

The post Top 6 Devin AI Alternatives for Developer to Automate Codings in 2024 appeared first on AIM.

Cosine similarity, a popular metric in assessing semantic similarity between high-dimensional objects, is facing scrutiny regarding its universal applicability. While commonly employed across various domains, recent studies suggest that its efficacy might not be consistent across all scenarios, prompting a re-evaluation of its necessity.

In a recent paper by Netflix researchers Harald Steck, Chaitanya Ekanadham, and Nathan Kallus, titled ‘Is Cosine-Similarity of Embeddings Really Necessary Everywhere?’, the authors explore the nuanced landscape surrounding cosine similarity within the context of linear matrix factorisation models. Their findings challenge the assumption that cosine similarity is indispensable in all AI applications, advocating for a more discerning approach.

Central to the debate is the realisation that cosine similarity may not always capture semantic similarity as reliably as previously thought. The Netflix study uncovers instances where cosine similarity fails to provide meaningful insights, emphasising the importance of considering alternative measures in certain contexts.

In natural language processing, for example, where cosine similarity is often used to assess the semantic similarity between words or documents, researchers may benefit from considering alternative metrics that capture the nuances of language semantics better. 

Similarly, in recommender systems, where cosine similarity is employed to measure the similarity between users or items, exploring alternative techniques may lead to more accurate recommendations and improved user satisfaction.

What to do?

“Why would anyone expect cosine-similarity to be a useful metric?,” said a user on HackerNews. “In the real world, the arbitrary absolute position of an object in the universe (if it could be measured) isn’t that important, it’s the directions and distances to nearby objects that matter most,” he added.

In traditional linear matrix factorisation models, the reliance on cosine similarity as a default similarity measure is commonplace. However, as the Netflix study reveals, this may not always be justified. 

Bindu Reddy, the founder of Abacus.AI, posted on X saying, “It goes back to building good RAG systems, which is hard. Before deploying these systems, you have to make intelligent decisions about chunking, hierarchical chunking, embedding, and even the algorithm for similarity look-up. Failure modes will be high and accuracy low if you don’t use the appropriate techniques.”

A recent blog by Andew Nguonly also suggested adding keyword search to improve the results, and further improving it by involving RAG. “In fact, I’d bet that this is the expectation of many users of RAG applications already,” he said in the blog. 

To make this clear, authors of the paper proved it by leveraging analytical derivations from linear matrix factorization models, the authors shed light on the limitations of cosine similarity and propose alternative metrics for similarity evaluation. 

Their findings highlight the need for a nuanced understanding of the underlying data and the suitability of different metrics based on the specific requirements of each application, which leads back to using vector embeddings and RAG.

One alternative metric gaining traction in similarity evaluation is the unnormalised dot-product between embedded vectors. Unlike cosine similarity, which relies on the normalisation of vectors, the unnormalised dot-product preserves the original magnitudes of the vectors, providing a different perspective on similarity assessment.

Additionally, techniques based on optimal transport have emerged as promising alternatives to cosine similarity, particularly in scenarios where the underlying data exhibits complex geometric structures. While computationally expensive, these techniques offer a more theoretically sound approach to measuring similarity, taking into account the curvature of the underlying manifold.

Not all that redundant

By embracing a more nuanced approach to similarity evaluation, informed by the latest research and guided by the specific characteristics of their data and analysis goals, researchers and practitioners can unlock new insights and drive innovation in their respective fields. However, the paper also falls short of proposing alternatives to the test, leaving us hanging.

“There aren’t any alternatives: cosine similarity is effectively an extension of Euclidean distance, which is the mathematically correct way for finding the distance between vectors,” explained a user on HackerNews. “You may not want to use cosine similarity as your only metric for rankings, however, and you may want to experiment with how you construct the embeddings.”

While acknowledging the utility of cosine similarity in many scenarios, the authors caution against its indiscriminate use. Instead, they advocate for a case-by-case evaluation of the appropriateness of cosine similarity, considering factors such as data characteristics, model architecture, and the intended use of similarity metrics.

The debate surrounding the necessity of cosine similarity underscores the evolving nature of similarity evaluation in data-driven fields. While cosine similarity remains a valuable tool in many contexts, its blind application may lead to suboptimal outcomes. 

Through rigorous analysis and thoughtful consideration of alternatives, researchers and practitioners can navigate the complexities of similarity measurement more effectively, ensuring that the right metric is used for the right task.

The post When (Not) to Use Cosine Similarity appeared first on AIM.

Forget getting a big studio for animation. Today, AI platforms let us create animations easily. From simple text-to-animation features to complex character movements, these platforms offer diverse functions for all types of creators. 

AI has advanced to the point where it can understand complex human movements and artistic intentions, transforming simple inputs into rich, detailed animations. 

Let’s dive into these 10 innovative platforms that are constantly improving their animation game.

1. Kaiber AI

Kaiber AI is a video generation tool that uses AI to turn ideas into animation videos. It’s built for artists, content creators, and anyone looking to create videos from images or text. It offers features like camera movement controls and adjustable video lengths, catering to different storytelling needs. 

Kaiber AI includes a Spotify Canvas generator for musicians to create looping videos for their tracks on Spotify, enhancing listener engagement. For animation, Kaiber offers Flipbook Animation for creating frame-by-frame animations and motion animation for generating animations from text prompts.

These features are powered by proprietary AI models, enabling the generation of unique and creative visuals. It’s free for basic use, with a starting price of $10/month for additional features. Within six months of its launch, Kaiber has attracted over 25,000 users. 

2. Neural frames

Neural Frames is an AI-powered animation generator, designed specifically for creating animations and music videos from text prompts. It employs advanced AI models like Stable Diffusion, capable of understanding and transforming text descriptions to fluid motion videos. 

Users can refine their animations by adjusting the text prompts, allowing for precise control over the final output. Neural Frames offers real-time previews, customizable AI models, audio reactivity for syncing animations with music, flexible camera controls for dynamic perspectives, and an AI upscaler for high-resolution videos. 

Its fast performance is powered by the latest AI technology, making video generation quicker than traditional methods. Neural Frames offers a free plan with basic features and several paid subscriptions for more extensive use, including options for HD and 4K video exports and access to custom AI models. 

Users retain full ownership of the videos they create, with the platform leveraging Nvidia A100 GPUs for top-notch video quality and generation speed. 

3. Live 3D

Live3D is a platform dedicated to VTubing, offering a suite of tools designed for creating VTuber avatars and animations. It provides software for making VTuber avatars, editing them, and creating engaging animations with VTuber Maker, catering to over a million VTubers, streamers, YouTubers, and artists worldwide. 

The platform operates on a subscription model, offering several packages including free options. The free package includes basic VTuber functions sufficient for starting as a VTuber. 

For those looking to design their own avatar, Live3D recommends using VRoid Studio to create a 3D VRM model, which can then be imported into VTuber Maker. Users can also commission a custom 3D model through Live3D’s team of artists.

4. Decohere

Decohere offers AI-powered video creation tools that allow users to customise prompts and apply various effects. The platform is designed to be user-friendly, enabling creators to navigate easily and produce content without the need for extensive technical knowledge. Features like real-time rendering and multiple output formats enhance the creative process, allowing for the efficient production of high-quality videos. 

It supports uploading of .vrm models and uses custom avatars in their projects. 

Integrations with major video editing software like Adobe Premiere Pro, Final Cut Pro, and Filmora, enable creators to incorporate AI insights into their editing process, streamlining production and enhancing creativity. Decohere has three plans, basic at $9 per month, creator at $29 per month and director at $89 per month. 

5. Krikey

Krikey AI Animation Maker, is an AI animation generator that transforms text prompts or videos into 3D character animations quickly, alongside a 3D animation editor for refining animations with facial expressions, gestures, and more. The platform supports AI text-to-animation and video-to-animation conversions, integrates with Ready Player Me for avatars, and offers its own 3D avatar creator.

Key features include a large library of animations, customizable facial expressions and hand gestures, 3D background choices, and control over animation speed and camera angles. 

Support is available through a knowledge base, community forum, email, and live chat. Krikey also integrates with Adobe Creative Cloud, Unity, Unreal Engine, Dropbox, and Google Drive, and offers SDKs and APIs for further customisation and integration into other apps and solutions. Krikey AI animation software costs around $13.33 per month.

6. Blender

Blender is an open-source software for 3D modeling, animation, video editing, and more, widely used by VFX professionals and in feature film production. It’s known for its comprehensive toolset that supports the entire 3D pipeline, including rigging, animation, simulation, rendering, compositing, and motion tracking, as well as video editing and 2D animation pipeline. Blender’s Cycles engine offers high-end, ultra-realistic rendering capabilities. The software also provides extensive modeling tools, advanced sculpting capabilities, and a robust animation and rigging toolkit. It supports real-time viewport preview, CPU & GPU rendering, PBR shaders, HDR lighting, and even VR rendering. Moreover, Blender includes features for VFX, such as camera and object tracking which allows the integration of 3D elements with raw footage. 

Blender is entirely free to use for any purpose, including commercial projects, under the GNU General Public License. It’s continually updated and supported by its community and the Blender Foundation. 

7. Steve.AI

Steve.AI is an AI video generator that transforms text, scripts, or audio into videos, including animations and GenAI videos. It features over 400 prebuilt AI avatars, a custom image generation technology, and supports a wide range of video styles. Users can benefit from its advanced AI video editor with 40+ tools and access to a large library of human-created and AI-generated assets. It’s designed for L&D teams, HR, marketers, educational professionals, and more, offering an intuitive platform for creating engaging video content. 

8. DeepMotion

DeepMotion offers AI-powered solutions like Animate 3D for motion capture from videos and SayMotion for converting text to dynamic animations. It’s designed for various users, including educators and digital artists, enhancing animation pipelines with markerless motion capture and 3D body tracking. 

DeepMotion AI uses motion capture to analyse and replicate physics in real-world situations. This allows for animations that are both visually appealing and grounded in reality. DeepMotion’s Animate 3D feature can turn 2D videos into 3D animations.

9. RADiCAL 

With RADiCAL’s technology, users have to just point a regular 2D camera at a person and their AI does the rest in the cloud, in real-time: we output 3D animation data in the form of skeletal joint rotations that you can stream or export into any 3D software client and any content creation pipeline.

It analyzes video content to recreate human motion in three dimensions, enabling users to generate detailed 3D animations. The subscription costs $24 per month for advanced features. 

10. Synthesia

Synthesia utilizes AI to animate avatars and generate voiceovers in multiple languages from text input. Users can select an AI avatar, type or upload a script, and the platform transforms this into a video where the avatar speaks the input text. 

It offers a range of features including 60+ video templates, the ability to create custom AI avatars, and upload images and videos. Synthesia provides different plans based on the number of minutes the videos are, from $29 to $89 per month. It also includes different numbers of avatars the subscription provides.

The post Top 10 AI Animation Platforms in 2024 appeared first on AIM.

In today’s rapidly evolving world of design, Artificial Intelligence (AI) tools have become indispensable catalysts for innovation. These tools are specifically designed to enhance efficiency and creativity, thereby redefining traditional design approaches. AI is revolutionizing the way designers work, from automating tasks to unlocking new realms of creativity. 

1. Canva AI magic design

One such tool is Canva’s AI magic design, a graphic design platform that stands out from traditional software like Photoshop by focusing on ease-of-use for everyone. From social media posts to infographics and presentations, Canva’s goal is to help anyone create beautiful designs without any prior design experience.

Canva achieves this through its AI-powered Background Remover tool, which allows users to remove backgrounds with just one click, eliminating the manual process of outlining the object to keep. Some of the new AI-powered tools that Canva offers include: 

• Magic Media,
•  Magic Eraser
•  Magic Edit
• Magic Grab 
• Magic Expand 
• Magic Morph 
• Magic Write
• Magic Design
•  Magic Animate 
• Instant Presentations
• Beat Sync
• Magic Design for Video
• Translate
• Magic Switch

With these tools, Canva makes it easier than ever for anyone to create stunning designs.

2. Microsoft Designer 

Microsoft Designer, also referred to as MS Designer, is an innovative tool developed by Microsoft that harnesses the power of advanced AI technology to effortlessly generate visually stunning graphics and templates for a variety of purposes. Whether you need to create engaging social media posts, eye-catching flyers, or beautiful invitations, MS Designer simplifies the process and empowers you to produce high-quality designs with ease.

With its intuitive interface and robust features, MS Designer is a must-have for anyone looking to elevate their design game.

Some of the best features are: 

• User-friendly interface
• Customizing design
  • Pre-defined templates
  • Add your media or recommended visuals
  • Generate captions
  • Typography
• Design navigation
  • Crop and resize images
  • Background Remove and replace
  • Various Effects like blurring the background, adjusting brightness etc.  
• Manage and download files(up to 30 images)
• Add videos and animations
• Share content and generate social media hashtags

3. Adobe Sensei

Adobe Sensei is a sophisticated Artificial Intelligence (AI) and Machine Learning (ML) technology that functions across the Adobe platform, encompassing Adobe Experience Cloud, Creative Cloud, and Document Cloud. While Adobe Sensei caters to a broad range of applications throughout Adobe’s catalog, video editors are most likely to encounter its capabilities in software applications such as Adobe Premiere Pro and After Effects.

The features of Experience Manager powered by Adobe Sensei include:

• Smart Tags

• Smart Crop

• Visual Search

• Automatic Text Summarization

• Expert Scoring

Adobe Experience Manager provides digital marketers with a powerful set of tools to implement digital designs, create and manage digital content across channels, and personalize the user experience on the fly, enabling them to reach audiences and deliver experiences that delight customers.

4. DALL.E 3

Compared to its previous versions, DALL-E 3 exhibits advanced nuance and detailed recognition, enabling a seamless conversion of your ideas into precise visuals. Conventional text-to-image technology often misses certain words or descriptions, necessitating users to refine the art of prompt engineering.

OpenAI claims that DALL-E 3 has a better understanding of context, and its standout feature is enhanced precision and efficient image generation. DALL-E 3 has taken significant strides in its ability to create visuals that accurately reflect and adhere to the user’s textual descriptions.

The aim was to simplify the generation of images by providing more comprehensive details that closely align with the user’s requirements.

Some of the most important features and capabilities are: 

• Ability to generate unique and creative images based on textual input.
• Capability to understand complex and nuanced language.
• Capacity to generate images of objects, animals, and scenes that don’t exist in the real world.
• Ability to manipulate or combine multiple concepts to create new images.
• Capability to generate images with varying styles and artistic techniques.
• Capacity to recognize and adjust to the context of the given input.
• Ability to generate images with high resolution and detail.
• Capability to generate multiple variations of the same concept.
• Capacity to generate images that are consistent with the input.
• Ability to learn and improve over time through machine learning algorithms.

5. WOMBO Dream – AI Art Generator

Wombo Dream is a user-friendly text-to-image AI generator that converts your written description of an image into digital artwork. It is ideal for creating digital art for NFTs, social media, marketing materials, or simply for your own entertainment.

Compared to advanced GenAI image generators such as Midjourney, Wombo Dream is more beginner-friendly. With Wombo Dream, you only need to enter your prompt and choose an art style (such as realistic v2, Horror v2, anime, or Steampunk), and the tool will take care of the rest. This approach is particularly helpful if you are not well-versed in art styles from different periods.

This has some  pleasing, minimal, and offers a light/dark theme switch. Some key features include:

• “Wombo offers a free, open-source mobile app for creating frames. 
• You can choose from 90+ art styles, ranging from Buliojourney v2 to Ukiyoe.
• Wombo has an “edit with text” feature. You can also add your own images and edit those with a text prompt.
• Wombo offers six text prompt ideas and customizable options to create unique designs without repetition..
• This tool offers NFT remix, minting, printing, and watermark-free downloads of images and videos.
• It features a discord community for members.

6. Deep AI

Deep AI Suite is a software tool that generates images based on text prompts using machine learning. You can create a new image of a robot inspired by Cyberpunk style or other art styles by entering a prompt. However, the free version of the tool has limited capabilities, and the quality of the generated image may not be photorealistic. DeepAI is honest about this and advises users not to expect exceptional quality with the free version. 

For beginners, the tool is a great way to learn about AI reinforcement learning and how it works to generate images.

Some of the most important features are:

• Reducing data dimensionality can speed up machine learning algorithms, especially for complex or large datasets.
• Removing noise and irrelevant details by reducing features can improve algorithm performance.
• Overfitting can occur when a model becomes too complex with too many features and may not generalize well to new data.
•  Feature extraction simplifies the model and can help to prevent overfitting, improving its ability to generalize to new and unseen data.
• Extracting important features can provide insights into the underlying data processes.

7. OpenArt

OpenArt is a revolutionary platform that utilizes cutting-edge technologies like Stable Diffusion to make the art creation process more accessible to everyone. With the help of AI-generated art, users can break the boundaries of creativity and express themselves in new and exciting ways. 

The platform offers a plethora of tools and features to help users bring their artistic visions to life. Whether you’re an experienced artist or a novice, OpenArt has something for everyone. Discover the world of art like never before with OpenArt.

Some of the most important features are:

• Openart AI offers a wide range of art styles for artists, influencers, and web designers to create AI-generated art that stands out.
• The Openart AI’s interface is intuitive and user-friendly, eliminating the need for lengthy tutorials. Its straightforward design makes it accessible to both amateurs and professionals..
• Openart AI offers extensive customization options, including unique colors, themes, and advanced features like stable diffusion effects, providing users with the tools to modify their artwork to the last detail.

8. Neural Canvas

Neural Canvas is a state-of-the-art digital illustration generator powered by artificial intelligence. This tool utilizes advanced algorithms to create unique, high-quality illustrations that can be used for a wide range of purposes. Whether you’re looking to create eye-catching visuals for your blog posts, e-books, or comics.

With its intuitive interface and powerful features, this tool makes it easy to create stunning illustrations that will captivate your audience and help you stand out in today’s crowded digital landscape.

Some key features of this are:

• 100 different styles and characters: Choose from a variety of styles and characters to create unique illustrations.
• Moods and styles for illustrations: Select the perfect mood and style for your illustrations to convey the right message.
• Main character selection: Pick your main character and customize it to your liking.
• Create AI Comics: Utilize AI technology to generate comic strips based on your inputs.
• Publish AI written e-books: Write and publish e-books with the help of AI technology.

9. AI Comic Factory

If you love reading comics and manga, and enjoy coming up with new storylines, you’ve probably faced challenges when it comes to creating high-quality artwork. Maybe you struggle with getting the proportions of characters right, or find it overwhelming to design backgrounds. But there’s nothing to worry, because there’s a solution on the horizon.

The AI Comic Factory is a cutting-edge innovation that’s changing the game for modern cartoonists.

Some of the features that will make designing comics fun and easy:

• Create your own comic book with AI assistance by describing scenes in text.
• Choose from different comic styles and genres, customize characters, backgrounds, speech bubbles, and fonts.
• Edit and improve the AI-generated comics by modifying text, rearranging panels, adding or deleting elements, and adjusting colors and filters.
• Share and export your comics as PDF files and browse and rate other users’ comics in the app’s gallery.
• AI Comic Factory is a free and open-source application designed to showcase the capabilities of AI models.

10 RunwayML Gen-2

Runway ML is an advanced AI system capable of generating unique videos using text, images, or video clips. In 2023, Runway announced on X that Gen-2 had received an upgrade. Although it is not considered a new major version – which will be Runway Gen-3 – it includes significant enhancements to both text-to-video and image-to-video algorithms. These improvements will improve the quality of the generated videos..

The new features are:

• The new Motion brush works with image prompts which will turn an image into an animated version of that image.
• Exclusive to Gen-2, now you can synthesize new videos in any style using nothing but a text prompt.
• Generate a video in the style of an image you provide alongside a text prompt.
• Content-guided video synthesis using just an input image.
• Transfer the style of any image or prompt to every frame of your video.
• Turn mockups into fully stylized and animated renders.
• Isolate subjects in your video and modify them with simple text prompts.
• Turn untextured renders into realistic outputs by applying an input image or prompt.
• Unleash the full power of Gen-2 by customizing the model for even higher fidelity results.

11. GetIMG.AI

Getimg.ai is an amazing AI-powered tool that can help you create stunning images effortlessly. It comes packed with incredible AI art tools that enable you to generate original images, modify existing ones, and even expand them beyond their original borders. 

Whether you’re a beginner or a pro, this image generator and editor can help you create visually appealing content in no time.

Some of the key features are:

• DreamBooth will train custom AI models for more personalized results.
• Outpainting  generates new scenery or elements that blend seamlessly.
• Inpainting will remove unwanted objects, text, watermarks, etc., from images easily.
• Image-to-Image  manipulatea existing images in different ways using text prompts.
• ControlNet easily adjust parameters like pose and lighting for precision editing.
• Fix Faces automatically improve facial features and expressions in portraits.

The post 11 Best AI Tools for Designing in 2024 appeared first on AIM.

Hugging Face, the go-to platform for AI developers and researchers, has long played a pivotal role in starting and sustaining a dialogue about ethics and responsibilities. The open-source community has been dependent on the platform to access resources, one of the contributing factors being the space it provides for an open and inclusive discussion to build AI ethically — be it textual or visual models. 

Some of the key contributors, who have been involved in various projects aimed at promoting ethical AI, are: Alexandra Sasha Luccioni, Margaret Mitchell, and Yacine Jernite from Hugging Face and Christopher Akiki from ScaDS.AI, Leipzig University.  

Here are six tools hosted on Hugging Face to assist researchers in building AI models with ethical considerations.

Diffusion Cluster Explorer

This tool was designed to investigate biases at the societal level within data. The demo on the website leverages the gender and ethnicity representation clusters to analyze social trends within machine-generated visual representations of professions. 

The Professions Overview tab lets users compare the distribution over identity clusters across professions for Stable Diffusion and DALL.E-2 systems. The ‘Professions Focus’ tab provides more details for each of the individual professions, including direct system comparisons and examples of profession images for each cluster. 

Users can compare the distribution of identity clusters across different professions and access detailed information about individual professions. This work is part of the Stable Bias Project.

Identity Representation Demo

This demo showcases patterns in images generated by Stable Diffusion and DALL.E-2 systems. Specifically, those obtained from prompt inputs that span various gender- and ethnicity-related terms are clustered to show how those shape visual representations. ‘System’ corresponds to the number of images from the cluster that come from each of the TTI systems that we are comparing: DALL.E 2, Stable Diffusion v.1.4. and Stable Diffusion v.2.

‘Gender term’ shows the number of images based on the input prompts that used the phrases man, woman, non-binary person, and person to describe the figure’s gender. Meanwhile, ‘Ethnicity label’ corresponds to the number of images from each of the 18 ethnicity descriptions used in the prompts. A blank value denotes unmarked ethnicity.

BoVW Nearest Neighbors Explorer

This tool utilizes a TF-IDF index of identity dataset images generated by three models, employing a visual vocabulary of 10,752 words. Users can select a generated identity image to find its nearest neighbors using a bag-of-visual-words model.

Language models 

Plug-and-Play Bias Detection

As language models are today being used in everyday technology, it has become imperative to choose an approach to limit biases and constraints in the systems. To address the issue, researchers are developing key metrics such as BOLD, HONEST, and WinoBias. These metrics will help in quantifying the proclivity of language models to generate text that may be perceived as “unfair” across a spectrum of diverse prompts.

Within the framework provided, users can select a model of their choice along with a metric of relevance to execute their own assessments. However, generating these evaluative scores ends one issue. To further use those generated numbers, AVID’s data model comes in handy to simplify the process of collating findings through structured reports. 

Data Measurements Tool

The demo of this tool under development showcases the dataset measures as we develop them. Right now this has a few preloaded datasets for which users can:

• view some general statistics about the text vocabulary, lengths, labels
• explore some distributional statistics to assess the properties of the language
• view some comparison statistics and an overview of the text distribution

Fair Diffusion Explorer 

Here the researchers introduce a novel strategy designed to mitigate biases in generative text-to-image models post-deployment. This approach, as demonstrated, involves the deliberate adjustment of biases based on human instructions. As underscored by empirical evaluations, this newfound capability allows the precise instruction of generative image models on the principles of fairness, without the need for data filtering or additional training.

To read the full paper by Friedrich et al., see here.

The post 6 Best Hugging Face Tools to Identify Biases in ML Systems in 2024 appeared first on AIM.

Developing and deploying AI responsibly requires tools to help the entire development team understand what they’re doing and show them how their choices affect the end users. Researchers, analysts, and policymakers today are in dire need of minimising, if not avoiding the harm AI model can cause. 

Toolkits play a fundamental role in creating systems fairer, more robust and transparent. Here are seven toolkits that can assist in implementing AI ethically.

NASSCOM Responsible AI Resource Kit 

In 2022, the National Association of Software and Services Companies (NASSCOM) collaborated with industry leaders including Microsoft, Tata Consultancy Services and IBM Research to introduce the Responsible AI Hub and resource kit. As the name suggests, the objective behind this initiative is to ensure responsible integration of AI technology. 

NASSCOM will maintain this evolving reference, continually incorporating the latest research and industry best practices, drawing from several credible sources. This kit equips businesses with the tools and guidance for AI development and deployment while complying with standards ethically. Moreover, the kit offers insights for identifying and mitigating ethical risks that may arise while implementing AI-powered solutions.

AI and data protection risk toolkit

The Information Commissioner’s Office of UK launched an AI and data protection toolkit last year as part of the effort to spread best practices in the use of AI. The toolkit is available as an Excel file on its website to download and edit to help organisations through several stages. During the release, senior policy officer Alister Pearson said it has been developed to help organisations comply with data protection regulations and win public trust in the use of AI.

Ethics in Tech Toolkit

The Markkula Center for Applied Ethics at Santa Clara University developed the project to provide free resources for everyone to integrate ethics into their products and designs. The project includes a comprehensive ethical toolkit for engineering and design practice that consists of seven tools that can be combined with engineering and design workflows. The toolkit can be an attempt to ensure that practitioners responsibly develop technologies and ethics does not become ‘vaporware’. 

Playing with AI Fairness: What-if Tool 

Abbreviated as WIT, the tool developed by Google makes it easier to examine, evaluate, and debug ML systems easily and accurately. The open-source interactive visual tool enables the understanding of a classification or regression model by enabling users to examine, evaluate, and compare models. 

Thanks to its simple user-friendly interface and reduced dependency on coding, this tool caters to a wide range of users. Whether you’re a seasoned developer, researcher, or student, this resource can integrate into your workflow through TensorBoard or as an extension within a Jupyter or Colab notebook.

Ethics and Algorithms Toolkit 

The toolkit developed by Joy Bunaguro and his colleagues asks a series of questions that grade the different types of risk in a data-driven initiative. Depending upon the level of risk, the toolkit contains suggestions for mitigations. 

Aequitas

Developed in 2018 by the University of Chicago Center for Data Science and Public Policy Aequitas is an open-source bias audit toolkit. The tool is built to be used by a broad set of people from developers to policymakers. The purpose of the tool is to audit machine learning models for discrimination, bias, and make informed and equitable decisions around predictive risk-assessment tools.

Human-AI eXperience (HAX) Toolkit 

The tool by Microsoft is best used early in the development process to design human-centric AI systems. The toolkit is made of four parts: HAX Workbook, HAX design patterns, HAX Playbook, HAX Design Library. HAX draws its foundation from a 2019 research paper, effectively turning its theoretical principles into practical tools. In many ways, these guidelines advocate for clarity and precision in UI copy, while being easy to implement plans in case of system failures.

The post 7 Best Toolkits to Build Your AI Ethically in 2024 appeared first on AIM.

The revenue of CRM software reached $48.7 billion in 2021 and is projected to grow at a CAGR of 14.2% from 2021 to 2028. By the end of 2023, 81% of organisations are expected to use AI-powered CRM systems for customer interactions. 

To facilitate smooth functioning of businesses and bring forth easy sales conversions, a number of companies are now looking to adopt AI-powered softwares. When AI is integrated with CRM (customer relationship management) softwares, processes can be improved to produce efficient results. 

From automating repetitive tasks such as entering and organising data, minimising mistakes, to enhancing decision-making through data analysis and providing valuable insights through predictive abilities, AI-enabled CRM software is transforming sales. 

Here is a list of AI-enabled CRM softwares that help accentuate sales conversions for enterprises. 

Flyfish

AI and advanced analytics solutions company Fractal launched Flyfish, a generative AI platform for digital sales. The platform provides consultative experiences through intuitive sales advisors that engage with customers in personalised, data- driven shopping interactions. Brands can provide consultative sales interactions by leveraging in-depth analysis of customer’s purchasing behaviour, transaction history, and individual preferences. AI sales advisors are easily created with easy integration of product catalogs and customer data. 

EinsteinGPT

Salesforce’s EinsteinGPT is an AI CRM technology that leverages AI to create dynamic content across domains such as sales, service, marketing, commerce, and IT. EinsteinGPT combines Salesforce’s proprietary AI models with generative AI technology from an ecosystem of partners and real-time data from the Salesforce Data Cloud. Customers can connect their data to OpenAI’s models that are available within Salesforce CRM, and also use their own external models and generate content within the CRM. 

Viva Sales

Microsoft’s Viva Sales is a seller experience application that leverages Microsoft 365 and Microsoft Teams. It helps streamline the process of capturing, accessing and recording data into any CRM, thereby eliminating the need for manual data entry. In the process, sellers are being equipped with valuable sales intelligence and save time.

Viva Sales is set to enhance seller productivity, reduce workloads and help salespeople achieve promising results. 

ChatSpot

Hubspot’s ChatSpot is a tool that helps support sales, marketing and service professionals by automating tasks and simplifying decision-making and CRM navigation. By integrating ChatSpot with the HubSpot CRM, users can access the resources they need more efficiently. ChatSpot increases productivity through chat-based commands, where the system assists with tasks such as sending emails, improving content, generating insights, and creating customised reports. The seamless integration with data in HubSpot CRM expedites data gathering, and churns out custom reports via the ChatSpot portal. 

Zoho Zia

Zia, a conversational sales assistant integrated within the CRM system of Zoho, has capabilities that empower sales professionals by automating tasks and providing actionable intelligence to enhance productivity and sales. With the help of commands, Zia helps retrieve information quickly, while sales forecasting offers valuable insights to optimise time allocation. Zia also provides real-time insights and suggestions to sales teams based on customer interactions and behaviour. With the help of predictive analytics, Zia can track customer behaviour, trends and enable businesses to gain valuable insights and predictions about future sales opportunities. 

Freddy AI

Freshworks’ Freddy AI can help personalise customer interactions and deliver helpful responses through a chatbot. It leverages AI-powered chatbots to automate customer interactions across various channels. It provides valuable insights for lead tracking and assists in prioritising support tickets in addition to predictive analysis, empowering sales teams to predict trends, identifying potential customer issues and forecast revenue with greater accuracy. 

Pipedrive

Pipedrive’s AI sales assistant is a tool for effectively identifying leads, thereby allowing sales teams to focus their efforts on deals with higher conversion potential. The tool can help monitor, analyse sales pipelines and produce accurate predictions of future sales revenue. It also facilitates KPI tracking, allowing sales professionals to measure the range of their sales activities. 

The post 7 Best AI-Powered CRM Tools for Enterprises in 2024 appeared first on AIM.

With the market crowded with AI video tools, everyone can try their hand at making and editing videos. There are sophisticated features to play with as well. AI softwares makes it possible to convert text into video, a variety of editing possibilities, generating avatars, and more—all surprisingly fast. Here is a list of tools for everyone to make videos from text prompts!

RunwayML

Apart from text to video features, Runway ML offers Video Inpainting, Frame Interpolation and Custom AI Training features. 

When used as an editorial tool, Runway ML might not meet expectations in terms of providing comprehensive features because their templates are similar to that of Canva. It lacks fundamental editorial functionalities like VST, split edit, and ripple trim. 

Though the editor feature itself is quite basic – likely derived from existing open-source tools or codecs, their fast performance and ability to export mattes and ProRes files proves Runway ML to be a powerful tool. It also encompasses various AI capabilities aimed at enhancing speed and includes an inpainting feature, although its effectiveness in that regard is yet to be fully explored.

Synthesia

Synthesia is another text to video software that is  simple and convenient and can create high-quality professional videos. With its lifelike voiceovers and extensive library of avatars and languages, you can produce videos from text, and youtube is beginning to be populated with them. Founded in 2017, they have been bundling this tech for 3 years before it went live with its first product.

They use a series of neural networks to make a custom avatar and require around 15 min of footage to train their models.  All the avatars in our studios are made in this way, so all of them are captures of real humans. The tool is user-friendly for folks new at video editing and allows customisation of  lifelike voiceovers, avatars and languages. Their videos already seem to be popular on Youtube!

Adobe Firefly

A veteran in the field, Adobe has recently been in the thick of copyright cases. With Firefly, Adobe is trying to avoid the same fate with their Content Authenticity Initiative.  Firefly AI Art can create visuals, vectors, movies, and 3D models from text. Users can modify a video’s ambiance, lighting, and weather easily. It also allows the generation of custom marketing and social media materials with minimal text input, such as posters, banners, and social media posts.

Their upcoming features are designed specifically for professionals. They include the ability to transform text into editable vectors, generate patterns using text prompts, personalize Firefly’s output by training it on your own images, and generate images from 3D elements and more. 

Modelscope

The development community at Hugging Face made ModelScope, a Text To Video Synthesis. This tool uses machine learning and allows users to create movies from text using a special deep learning model. It’s designed to be user-friendly, even for people who have little knowledge of machine learning. Users can access ModelScope Text To Video Synthesis and other machine learning applications, models, datasets, and information on the Hugging Face Space platform.

They’re adding updates on a daily basis with better video animations, smoother and more coherent. The videos however still have the ‘shutterstock’. 

Yeptic.ai

Yepic Studio, an AI-powered video production tool, allows users to create and translate engaging talking head-type videos within minutes, without the need for professional cameras, performers, or studios. The quality of the videos are still basic but look promising. They have a lip sync translation in eight languages and live dubbing in five languages. Users can try their library of avatars and the talking photo feature that transforms images into avatars.

Yepic Studio can incorporate content into videos, supporting 68 different languages. The VidVoice feature helps users overcome language barriers by providing real-time and dynamic dubbing to video content. 

Aug X Labs

It is another company that uses AI technology to create videos using text prompts.  Podcasters, radio presenters, comedians, and musicians, to add engaging visuals to their work with this platform. They can just submit their audio or video recordings to Augie, their virtual assistant which makes from the given prompts, no technical skills needed. They also have an open invitation for creators from anywhere to join their beta program and start creating films. 

Veed.io

Originally intended to be a video editing platform they quickly added a range of features including recording a video, subtitle and transcription and now they’ve recently expanded their AI suite. They now plan to launch AI avatars and improve their existing features. Veed is subscription based with well stocked media files, and well designed tools, even in the free version. The text-to-video feature works like the others but using their stock image and video files. And like always, the free version is not as sophisticated as the paid ones. 

Make-a-video

Make-A-Video is yet another  AI-powered platform that allows users to create professional-quality videos based on text instructions. The platform can even learn from videos without labels, making it even more versatile. Make-A-Video also can add transitions between still photos to make them appear like they’re moving. Furthermore, users have the flexibility to customize your movie in various ways. 

Phenaki

Phenaki addresses the challenges of generating videos from text, such as computational cost, limited high-quality data, and varying video lengths. It uses a novel approach that compresses videos into smaller tokens using causal attention, allowing it to handle videos of different lengths. By training on a combination of image-text pairs and video-text examples, Phenaki achieves generalisation beyond available video datasets. Compared to previous methods, Users can generate videos of any length based on a sequence of prompts or a story in various subjects. 

The post 9 Best Text-to-Video Tools for Everyone in 2024 appeared first on AIM.

The integration of AI in marketing has undeniably revolutionised the game. With a plethora of technological marvels popping up left and right, it can be a bit of a dilemma to decide which one will deliver the most bang for your buck. Now, let’s not get lost in the maze of possibilities and dive into what AI can truly accomplish.

Jasper AI

Jasper stands out as the premier AI writing assistant, setting the industry standard with its remarkable capabilities and exceptional output. With Jasper, the process begins by inputting seed words, which the system meticulously analyses to generate insightful phrases, coherent paragraphs, or comprehensive documents tailored to the desired subject matter and tone of voice. Astonishingly, Jasper can craft a 1,500-word article in 15 minutes, showcasing its efficiency and proficiency. 

The platform offers a diverse range of over 50 AI content generation templates, ensuring versatility and adaptability for various writing needs. These templates encompass an array of content types, including but not limited to blog posts, emails, marketing copy, Facebook ad generators, Google ad generators, meta title and description suggestions, press releases, and more. With such a comprehensive selection, Jasper empowers users to effortlessly create captivating and compelling written content across multiple platforms and mediums.

MarketMuse

MarketMuse presents itself as an exceptional choice for individuals seeking a comprehensive AI marketing tool that seamlessly integrates artificial intelligence across its entire suite of services. 

It is specifically tailored to cater to businesses aiming to maximise the potential of their long-form content, spanning diverse formats like landing pages, emails, articles, and sales copies. At the core of its functionality, MarketMuse conducts extensive AI research on the selected topic, enabling it to generate an initial draft that serves as a solid foundation for users to build upon. 

This unique approach empowers users to enhance and refine the content according to their specific requirements, ensuring a personalised touch in the final output. In addition to this, MarketMuse offers valuable key performance indicators (KPIs) and a content brief, facilitating a structured and data-driven approach to content creation. 

Furthermore, the platform includes a built-in editor, streamlining the editing process and ensuring a seamless workflow for users. With MarketMuse’s holistic approach and array of features, businesses can unlock the true potential of their marketing content and achieve optimal results.

Anyword

Anyword revolutionises the field of copywriting by offering marketers a data-driven solution that empowers them to create compelling and impactful content. Designed with marketers in mind, this tool facilitates the generation of highly effective copy across various platforms, including ads, emails, landing pages, and more. 

When it comes to crafting attention-grabbing advertisements, Anyword streamlines the process by providing seamless integration with major advertising platforms such as Facebook, Google AdWords, LinkedIn Ads, and Twitter Ads. This enables marketers to effortlessly generate persuasive ad copy tailored to each platform’s unique requirements, maximising their advertising effectiveness. 

Not limited to short-form content, Anyword also caters to the creation of longer, engaging pieces. Marketers can effortlessly generate captivating blog posts, compelling product descriptions, engaging YouTube descriptions, and a host of other content types.

INK

INK is a game-changing platform that seamlessly integrates the power of AI co-writing and an SEO Assistant, revolutionising content development. The SEO Assistant component of this remarkable tool empowers users to craft content that not only captivates readers but also climbs the ranks of search engine results, driving valuable organic traffic. 

Powered by a patented AI system, INK’s SEO Assistant analyses content in real time and offers actionable suggestions to enhance SEO scores, ensuring optimal visibility and discoverability for your content. Complementing the SEO Assistant, INK’s AI Co-Writing feature takes content creation to new heights. With this intelligent tool, users can effortlessly generate high-performing copy that resonates with their target audience. 

The AI acts as a virtual writing assistant, providing invaluable support in writing, rewriting, and simplifying sentences, streamlining the content creation process and ensuring the production of polished, impactful prose.

Fullstory

Fullstory redefines the concept of digital experience by encompassing the entire journey undertaken by site visitors, from their initial arrival to their ultimate conversion or departure. A key insight they emphasise is the immense value derived from the unpredictable actions users take, actions that could not have been anticipated or foreseen.

To unlock this unparalleled level of insight, Fullstory employs advanced AI technology to meticulously track and record every nuanced cursor movement, click, and page visit throughout a visitor’s entire journey, effectively crafting a comprehensive and dynamic “story”. This wealth of individual stories can then be compared and analysed alongside thousands of other visitor stories, enabling businesses to extract invaluable insights and patterns.

The post 5 Best AI Tools for Marketing in 2024 appeared first on AIM.

Repetitive and time-consuming tasks can drain productivity within enterprises. However, with the advent of applications that automate functions, tasks can now be better managed, making life easier for developers, data scientists, and all other personnel within an organisation. Adopting AI-powered platforms helps analyse and automate functions, thereby improving work efficiency.

Here are 7 powerful AI automation tools that can help enterprises function smoothly:

Microsoft Azure AI

Microsoft Azure, a cloud computing platform, employs AI to assist with business processes and provide intelligent services. It offers a wide range of secure, reliable, and scalable services and tools for developers and data scientists to build and deploy AI solutions. Microsoft Azure also supports popular frameworks like TensorFlow and PyTorch, and now includes GPT-4 through Azure OpenAI service.

IBM Watson

IBM Watson is an AI-powered cognitive computing platform that utilises machine learning, natural language processing, and other AI technologies to analyse data, provide insights, and answer questions. The recently announced IBM WatsonX platform is expected to amplify the impact of AI across businesses.

Automation Anywhere

As a leading provider of Robotic Process Automation (RPA) software, Automation Anywhere enables organisations to automate business processes. Its technology allows software robots to mimic human actions, performing repetitive tasks such as data entry and report generation. The platform also offers bot management and monitoring features. This powerful RPA platform helps businesses streamline their operations, increase efficiency and reduce costs as well. 

Amazon SageMaker

Amazon SageMaker is a machine learning service provided by Amazon Web Services (AWS). It offers built-in AI and machine learning capabilities, allowing developers and data scientists to quickly build, train, and deploy machine learning models. The service includes pre-built algorithms, Jupyter notebooks, and supports popular machine learning platforms such as TensorFlow, PyTorch and Scikit-learn. 

Salesforce Einstein

Salesforce Einstein is an AI-powered suite of features integrated into the Salesforce platform. It automates processes and personalises customer experiences by providing predictive insights and recommendations based on data insights. It is integrated across various Salesforce products, including Sales Cloud, Service Cloud, and Marketing Cloud. Salesforce recently introduced Einstein GPT, a generative chatbot AI for CRM.

Zoho

Zoho provides a suite of products that utilize generative AI for various enterprise functions. From HR to analytics and customer relationship management, Zoho offers a range of AI-powered applications. With over 13 Zoho applications integrated with ChatGPT, users can benefit from AI applications such as Zoho Analytics and Zoho CRM. Zoho also incorporates AI into the customer experience through their virtual assistant, Zia.

Zapier

A cloud-based automation tool, Zapier allows users to connect to various web applications and automate workflows between them. Coding knowledge is not required which makes it user-friendly. Zapier is used by enterprises to streamline their work processes and automate tasks such as data entry, file management, customer management, and many other functions. Zapier has partnered with over 5000+ companies including Gmail, Salesforce, Trello and Zoho. 

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Generation of video content is becoming more important as it engages internet audiences more effectively than other media forms. The latest text-to-video tools have made video creation much easier and accessible, allowing anyone to produce stunning videos with ease. 

These tools helps in saving time and improve the quality of video content, providing insights into how audiences engage with videos. Most of them are user-friendly and do not require special skills or training, although some may require basic knowledge of video editing or design principles. Some of them even offer free or trial versions, with a few features requiring a paid subscription. These tools are suitable for anyone interested in creating high-quality video content, from professional marketers to hobbyists.

Compare Top AI Video Generators in 2024

1. HeyGen – Avatar videos for business

HeyGen excels in providing a user-friendly platform for creating videos with AI avatars and voices. It is ideal for both beginners and professionals due to its extensive template library and customization features, making video creation quick and efficient.

Pros:

• Simple and efficient video creation
• AI-generated avatars
• Quick turnaround

Cons:

• Limited customization
• Basic editing capabilities

Site: https://www.heygen.com/

2. Colossyan – Best for Avatars and Voices

Colossyan is praised for its versatile video creation capabilities, offering a wide range of avatars, languages, and voices. It is particularly useful for workplace learning and training, significantly reducing production costs and time.

Pros:

• Versatile video generation
• Digital avatars for professional use
• Easy-to-use interface

Cons:

• Limited creative control
• Subscription-based pricing

Site: https://www.colossyan.com/interactive-video

3. Runway – Video Editing and Effects

Runway is recognized for its advanced AI tools that support high-fidelity video generation. It is particularly suitable for creative professionals looking to push the boundaries of digital art and storytelling

Pros:

• Advanced AI editing tools
• Supports collaboration
• High-quality output

Cons:

• Higher cost for premium features
• Steeper learning curve

Site: https://runwayml.com/

4. Lumen5 – Social Media Marketing Videos

Lumen5 is a video creation platform that uses AI to turn written content into engaging videos. The platform is designed for businesses and brands to create video content easily for their social media posts, stories, and ads. Users simply enter the text they want to use, and Lumen5’s AI technology analyzes the content to create a video that matches the tone and style of the text. Users can also customize their videos by uploading their own images and video clips.

Lumen5’s wants to simplify and quicken the process of high-quality videos  for anyone without training or experience. The platform’s built-in media library provides access to millions of stock footage, photos, and music tracks, eliminating the need to purchase or record digital assets externally. With Lumen5, marketing teams can focus on the narrative and story, while the system handles the heavy lifting of creating videos. Overall, Lumen5 offers a convenient and accessible way for businesses and individuals to create engaging video content for their social media channels.

Site: https://lumen5.com/

5. Magisto – Social Media Team to Create Automated Video

Magisto is an online video editing platform that uses AI-powered technology to automatically create professional-quality videos from user-uploaded photos and videos. The platform is designed to make video editing easy and accessible for users without any prior video editing experience.

Magisto’s AI-powered video editor analyses the user’s uploaded media and automatically creates a custom video with matching music, transitions, and effects based on the user’s selected style and preferences. Users can further customise their videos by adding text, captions, and additional media, and adjusting the timing and order of their content.

Magisto is commonly used by businesses and individuals for a variety of purposes, such as creating promotional videos, social media content, event recaps, and more. The platform offers both a free and paid version, with additional features and options available to paid users.

Site: https://vimeo.com/video-editor

6. Animoto – Simple Video Creation for Marketing and Tutorials

Animoto is a cloud-based video creation service that allows users to create and share professional-quality videos using their own photos, video clips, and music. The platform uses an AI-powered video maker that can analyse the user’s media and automatically create a custom video slideshow that matches the selected style and music. Animoto’s video editor also allows users to customise their videos by adding text, captions, and effects, as well as adjusting the timing and order of the media.

Animoto is commonly used for a variety of purposes, such as creating promotional videos for businesses, showcasing products or services, creating educational videos, sharing personal stories or events, and more. Animoto offers both a free and paid version of their platform, with additional features and options available to paid users.

Site: https://animoto.com/

7. InVideo – Customisable Videos for Marketing

InVideo is a video editing and creation platform that allows users to create professional-quality videos quickly and easily. It offers a wide range of customisable templates, tools, and features, making it easy for anyone to create engaging video content.

With InVideo, users can choose from a library of pre-made templates, or start from scratch with their own design. They can add text, images, music, and other media to their videos, and edit them using a range of tools, including transitions, filters, and effects.

InVideo also offers features such as voiceover recording, collaboration tools, and social media integrations, making it easy for users to share their videos across different platforms.

In addition to its video editing features, InVideo also provides access to a large library of stock footage, music, and images, which users can use to enhance their videos.

Overall, InVideo is a versatile video creation tool that is suitable for anyone looking to create professional-quality videos quickly and easily, whether for personal or business purposes.

Site: https://invideo.io/ai/

8. Clipchamp – Video Editing with Templates

Clipchamp is a web-based video editing and creation platform that allows users to create, edit, and share videos online. It offers a wide range of features, including video trimming, cropping, merging, adding text and audio, and applying effects and filters.

One of the standout features of Clipchamp is its user-friendly interface, which makes it easy for users of all skill levels to create professional-looking videos without any prior editing experience. Clipchamp also offers a variety of templates and pre-built video assets, which can be used to create videos quickly and easily.

In addition to its editing features, Clipchamp also includes a range of sharing and publishing options. Users can easily share their videos on social media platforms like Facebook and Instagram, or export their videos to popular video hosting sites like YouTube and Vimeo.

Overall, Clipchamp is a powerful and versatile video editing platform that is well-suited to a wide range of users, from amateur video creators to professional marketers and content producers.

Site: https://clipchamp.com/en/

9. Steve AI – AI-driven Video and Animation Creation

Steve.AI is an AI-based tool that allows for easy creation of videos and animations, intended to reduce the time required to create video campaigns. Users input a script and Steve.AI automatically generates a high-quality video. The tool enables customisation of visuals, background music and other settings to ensure the desired outcome. The goal of the product is to make the video creation process faster and easier for video makers, marketers, and salespeople.

Steve AI is capable of making videos specifically curated for social media sites like Youtube, Twitter, linkedin, Facebook. It can also produce explainers, product videos, Animated videos, educational, marketing, and corporate videos amongst others.

Site: https://www.steve.ai/

10. Synthesia – AI Video Creation with Avatars

Synthesia is an efficient video creation tool that leverages the power of AI to generate visually stunning content using a variety of inputs such as text, audio files, photos, and videos. Synthesia lets you input your written content in more than 120 different languages and generate a polished video in a mere 15-minute timeframe. Additionally, Synthesia offers a vast library of high-quality media assets that can be used to create even more impressive videos in record time. 

The company was established in 2017 by a team of AI experts and entrepreneurs from renowned institutions such as UCL, Stanford, TUM, and Cambridge. Its co-founders include Victor Riparbelli (CEO), Prof. Matthias Niessner, and Prof. Lourdes Agapito.

Site: https://www.synthesia.io/

11. Elai – Intuitive AI Video Generator

Elai offers an all-in-one solution for video creation that utilises AI technology. Their automated workflow system streamlines the entire process, saving time on tasks such as shot selection and audio level adjustments. With Elai, professional-looking videos can be created quickly and efficiently, without the need for actors, crews, or expensive equipment. Their AI video generator can produce customised videos featuring a digital presenter from just text, eliminating the need for a camera, studio, or green screen. Videos can be created in a matter of minutes with Elai.

While Alex Uspenskyi is the founder, Vitalii Romanchenko is the CEO and co-founder of elai io.

Site: https://elai.io/

12. Pictory – Text-to-Video Conversion

Pictory is a tool that caters to the needs of photographers and videographers, enabling them to create stunning montages from their photo libraries without prior video production experience. With its user-friendly drag-and-drop interface and advanced AI capabilities, users can easily bring their ideas to life in a short amount of time. This platform also automatically generates branded videos from lengthy content, making it quick, simple, and affordable. Additionally, users do not need any technical skills or software downloads to use Pictory, and a free trial is available.

Site: https://pictory.ai/

13. Deepbrain AI – Professional Videos with AI Avatars

Deepbrain AI offers realistic AI avatars and voice synthesis, making it ideal for creating lifelike video presentations and educational content.

Pros:

• Realistic AI avatars
• High-quality voice synthesis
• Suitable for educational content

Cons:

• Limited to avatar-based videos
• Requires a subscription for full features

Site: https://www.deepbrain.io/

14. Fliki – Text-to-speech and text-to-video

Fliki excels in converting text into engaging videos with voiceovers, making it suitable for content creators and marketers looking to produce quick and effective video content.Pros:

• Quick conversion from text to video
• Wide range of voiceover options
• User-friendly interface

Cons:

• Limited customization options
• Basic editing features

Site: https://fliki.ai/

15. Stability.AI – AI-generated Video Content

Stable Video Diffusion is a video diffusion model that uses latent variables to create high-quality videos from text and images created by Stability AI, which delivers open-access AI models with minimal resource requirements in imaging, language, code and audio. 

Researchers have recently adapted these models, which were initially designed to generate 2D images, to generate videos. This was achieved by adding temporal layers and fine-tuning the models on small, high-quality video datasets. 

Some of its unique features are:

• It uses latent diffusion models with temporal layers and fine-tuning on video datasets.
• This model can be fine-tuned on specific multi-view datasets to enhance its capability of multi-view synthesis from single images.
• A new web experience that will feature text-to-video interface showcases Stable Video Diffusion in advertising, education & entertainment. It’s waitlisted for early access.
• It has two models that create videos with 14-25 frames. The frame rates range from 3-30 frames per second. 
• These models are highly competitive and may outperform some leading models.

Site: https://stability.ai/

16. Remaker AI – Video Creation and Editing

Remaker AI is considered one of the best video generating platforms due to its comprehensive suite of AI-powered tools that cater to both casual users and professionals. It excels in creative content generation by offering features like face swapping, AI image and video manipulation, voice cloning, and background removal. These capabilities make it versatile for various applications, from social media content creation to professional video production.

Pros:

• Wide Range of Features: Offers diverse tools for face swapping, image generation, and video editing.
• User-Friendly Interface: Accessible to beginners and professionals alike.
• High-Quality Outputs: Produces realistic and seamless results.

Cons:

• Advanced Features Require Payment: Some tools need a paid membership.
• Ethical Concerns: Potential misuse of face swapping and voice cloning.
• Content Limitations: Issues with copyright and ownership of generated content.

Site: https://remaker.ai/en

17. Viduai – AI Video Personalisation for Marketing

ViduAI.ai is considered one of the best AI video generators due to its powerful and versatile features that cater to a wide range of users, from sales teams to content creators. Here are some reasons why Vidu AI stands out:

Key Features

• ViduAI can transform text prompts and images into high-quality videos, making it a versatile tool for various content creation needs
• It excels in creating personalized videos, which is particularly beneficial for sales teams looking to enhance their outreach. Users can generate videos that include personalized elements such as names, logos, and specific messaging.
• ViduAI uses advanced AI algorithms, including the Universal Vision Transformer (U-ViT), to produce realistic and detailed videos. This technology allows for dynamic camera work and complex scene generation, enhancing the overall quality of the videos.
• The platform is designed to be user-friendly, enabling both beginners and professionals to create videos quickly and efficiently. This ease of use is complemented by a range of templates and styles to suit different creative visions.

Pros:

• High-quality video output with realistic details
• Wide range of applications, from marketing to storytelling
• User-friendly interface with advanced AI capabilities

Cons:

• Potential for high resource usage due to advanced features
• May require a learning curve for users unfamiliar with AI tools

Site: https://viduai.ai/

The post Best AI Video Generators in 2024 appeared first on AIM.

With the evolution of LLMs and AI models, tools and applications that support data science and analytics are seeing significant development. With AI powered tools and no code platforms, the simple usage of these applications are pushing them for wider adoption. While the traditional roles of data scientists may see a shift, the new AI tools will complement them in their day to day work. By automating repetitive and unwanted tasks, time is better utilised for productive work which ultimately saves cost. 

Here is a list of 5 AI tools for Data Science and Analytics: 

1. ProbeAI 

Known as the “AI Copilot for Data Analysts,” ProbeAI helps in a variety of tasks that simplifies the work of data analysts. It avoids time-consuming, repetitive tasks and automates parts of the workflow. Some of the tasks include auto-generation of complex SQL codes, identifying relevant tables for your questions, optimising and fixing SQL codes. It supports databases such as MongoDB, MySQL, PostgreSQL, snowflake, Google Big Query and Amazon RedShift.  

Source: Product Hunt 

2. ObviouslyAI

Obviously AI builds no code AI models for businesses. The tools help in multifunctions such as data cleaning, model selection, hyper parameter tuning, model deployment and management. It can even help in predicting fraudulent transactions. In a previous interview with AIM, CEO of Obviously AI, Nirman Dave, said that the tool will not replace data scientists and will accelerate the data science process. 

3. Relevance AI

RelevanceAI is a platform that assists users to analyse and visualise unstructured data effortlessly without the need of coding skills. Some of the functions that can be executed on the platform are automated categorization, AI workflows, semantic search that helps users to categorise and analyse text, images and audio. The platform also helps with use cases, market research, customer experience, analytics and insights. 

4. MonkeyLearn

A no-code text analytics platform, is designed to help businesses to visualize customer feedback. The platform is built on machine learning models, with a range of pre-trained classifiers and extractors. The platform simplifies data and pulls insights in an easy understandable format. The platform has been used by different domains and a few of their clients include Dell, Freshly, MoxiWorks, and others.  

Source: MonkeyLearn

5. IBM Cognos Analytics with Watson

Considered an AI Copilot for businesses, the ‘IBM Cognos Analytics with Watson’ is a Business Intelligence solution tool that has AI capabilities integrated. It helps in cleaning data, interpreting them and producing data visualisations. It helps with predictive analysis and can forecast the future of any business. You can import data from CSV files and spreadsheets, and can connect to data sources such as SQL databases, Google BigQuery, Amazon, Redshift, etc.  

The post 5 Most Powerful AI Tools for Data Science and Analytics in 2024 appeared first on AIM.

When ChatGPT was soaring high with its complex query resolution and now multimodality with GPT-4, the only string that was pulling it back from taking on the biggest search engine was the absence of real-time data. However, with the launch of ChatGPT Plugins, OpenAI has addressed this bottleneck as well. 

The new plugins connect ChatGPT Plus to third-party applications which enables the platform to interact with APIs defined by developers. Following an initial waitlist, 11 plugins were officially launched last week by OpenAI. The functions of the plugins range from retrieving information that is real-time, knowledge-based to also perform actions on behalf of the users, such as booking tickets, ordering food, and more. ChatGPT Plus plugins are currently available as a “limited alpha release” for developers and insiders. Others can enrol for a waitlist.

Read more at: The 10 Best ChatGPT Alternatives

The Best ChatGPT Plugins for Free in 2024

1. Expedia

Expedia is one of the world’s leading travel companies that helps travellers plan and book hotels, flights, rental cars, activities and other travel services. Headquartered in Seattle, the company made a revenue of $8.6B in 2022. Through the Expedia plugin, users can interact with the chatbot to plan any travel itinerary. The chatbot customises and suggests options based on user criteria such as age, children, additional facilities, and more. Right from vacation suggestions to booking tickets, the plugin aims to help users address any travel booking needs. 

2. Wolfram

Wolfram is a company that creates software and tools for computation, data science, and artificial intelligence. Founded by Stephen Wolfram in 1987, headquartered in Illinois, the Wolfram plugin helps ChatGPT Plus users access maths, computation, knowledge across subjects, and real-time data through Wolfram Alpha and Wolfram Language. Much like a typical conversation, users can interact with the plugin and get answers to factual queries that use structured data and algorithms in subjects varying from physics, chemistry, geography, statistics and many more. 

3. Zapier

A web-based automation tool, Zapier allows users to connect different web applications and automate tasks and workflows between them. The tasks can vary from data entry, file transfers, email notifications, and can be used across domains such as Marketing, Business and Sales Operations, IT, and more. Zapier has partnered with over 5000+ companies including Gmail, Salesforce, Trello and Zoho. With this plugin, enterprise management is becoming more convenient where users can facilitate tasks through a chatbot.  

4. Speak

Bringing learning to the ChatGPT platform is an AI-powered language tutor, Speak. This application allows users to learn languages via conversational practice with an AI tutor. Users can learn different languages as well as converse with the chatbot.

5. Fiscal Note

Fiscal Note is a leading technology provider of global policy and market intelligence. Operating as a government analysis platform, the company provides real-time data sets for legal, political, and regulatory data. It has partnered with analytics and research firms like CQ, FrontierView, Oxford Analytics, VoterVoice, and others. Users can get access to market and regulatory information through this plugin. 

6. KAYAK

Another plugin to cater to the travel segment—Kayak. An online travel agency and metasearch engine, Kayak allows users to search for any travel-related information such as flights, hotels, packages, and alike. With the plugin integration, ChatGPT Plus will act as a “virtual travel assistant” and interact in a conversational manner. Personalised recommendations based on user search will also be provided. 

7. Instacart

Online grocery delivery and pick-up service Instacart allows users to shop for groceries from a range of grocery partners. The company has tie-ups with over 40,000 stores including Whole Foods, Costco, Safeway and several others. With the plugin integration, users can now order food ingredients via ChatGPT Plus. 

8. OpenTable

ChatGPT’s new plugin caters to restaurant business. OpenTable is an online restaurant reservation platform where users can reserve seats based on real-time availability. Not just users, OpenTable also provides services to restaurants that help optimise their operations. With this plugin, ChatGPT Plus users can book tables based on reviews and other information provided by the platform. 

9. Klarna Shopping

Klarna Shopping allows customers to shop for products online and pay for them later via instalments or single payment. The platform even offers long-term financing options. 

10. Shop

Another shopping platform plugin, Shop developed by Shopify, is a shopping and delivery tracking application. It allows users to receive notifications about order updates and help discover products and merchants based on their shopping preference. With the plugin, users can directly interact and shop for relevant products based on their specific needs. 

11. Milo Family AI

Milo calls itself an ‘AI Co-pilot for Parents’. Milo helps in organising and planning out tasks, messages and other functions within a family. Powered by GPT-4, the application is said to sort all family tasks. As the product is not yet launched (waitlist), its full capabilities are still unknown. 

12. ChatGPT Retrieval Plugins

OpenAI has not stopped with the above. As we speak, newer plugins are being integrated into ChatGPT. The latest plugin ‘ChatGPT Retrieval Plugin with Memory’ works on giving ChatGPT memory by remembering information from conversations and storing it in a retrieval plugin.

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Code quality tools like linters and test frameworks are an important bit of the machine for developers. Linters play the part of keeping the code error free and ensure that it conforms to the rules implemented in the team. Conversely, when these tools are slow and sluggish, they can slow down development to a great degree. A new tool from this space called Ruff has been making noise in the community of late. 

Origin of Ruff

Charlie Marsh, a Khan Academy alum released the tool last year on August 30 but in the five months that have gone by, Ruff has gained a lot of ground. Marsh admits that Ruff’s sudden popularity has taken him by surprise, and that is why he called it ‘Ruff’ (rough). “I don’t consider it production-ready, it’s only a proof-of-concept,” he said on a thread posted on Hacker News. 

Last month, Marsh wrote a blog post discussing where he wanted to take Ruff in the future. ‘I meant to write this post after the first 100 releases, but now (v0.0.226) seems as good a time as any to recap the progress we’ve made over the last few months, and share more on where we’re headed,’ he stated. 

Need for speed in Python tools

Marsh’s need to make Ruff was born out of his own frustrations with tools in the Python ecosystem. JavaScript has been on the beneficial side as its tools have evolved and grown faster with time. Since projects have become heavier and more complicated, new packages emerged based on languages which were faster and consumed lesser energy. 

Marsh calls this the ‘Rustification’ of the JavaScript toolkit. A bunch of these new tools are all built on new programming languages like SWC and Rome are built on Rust, esbuild is built on Go and Bun is built on Zig. 

And there’s good reason to have more Rust-based tools. Karthik Devaraj, a full-stack developer with MachineHack explains, “While Rust is an object-oriented language like C++, it combines less energy consumption with faster speed. Earlier, it used to take me around 21 seconds, but once I switched to the Rust-based SWC, it took me between 2 to 3 seconds.” 

Marsh felt that the Python environment too could gain from similar faster tools. Ruff has been found to be over 150X faster than Flake8, a popular Python lint wrapper; 75X faster than pycodestyle, the official linter to check Python for the PEP8 Python style; and 50X faster than pylint. 

Why Ruff is popular?

Ruff now has become the primary linter for some of the most important Python-based projects like Pandas, FastAPI, Apache Airflow and Jupyter on GitHub even as it gets high praise from the community. 

A developer listed the advantages of Ruff – “I love Ruff. These are reasons it ended up being better than simply touching a ‘standard of excellence’. First off, it has a second-mover advantage. It has learned from all the existing tools. Secondly, it is deduplicated work which means it pretty much is a ‘do everything’ and does it all at once. (Using three separate linters meeting different needs would mean it parses through the code three times). And thirdly, Rust is faster than Python.” 

Just yesterday, Marsh tweeted the happy news that open-source platform Hugging Face had adopted Ruff already. Sayak Paul, a developer at the company spoke about the tool saying, “It’s bloody fast and actually takes actions instead of just plain erroring out that you didn’t use a particular import.” 

Sylvain Gugger, a senior ML engineer at the company, in fact, lauded Marsh saying, “Thank you so much for writing Ruff! With Transformers having so many files, you’re saving us a loooooot [sic] of time on formatting.” 

Marsh, however, has always been transparent about what he thinks are Ruff’s limitations, “It supports only a small set of rules till now and isn’t extensible in any way, it’s missing edge-case handling and is significantly under-tested compared to existing tools.” 

Since then Marsh has worked on improving the tool. There’s an official VS Code extension released to support Quick Fix actions to autofix lint errors, flake8-to-ruff which automates migration from Flake8 to Ruff as well as Conda and Homebrew distributions for easy installation of the tool.

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Pandas is a well-known open-source Python library for processing and analysing data. It can support relational or labelled data both easily and intuitively. Furthermore, it makes it simple to load, manipulate, and analyse the data because it includes capabilities for working with tabular, time series, and heterogeneous data. Built on top of the NumPy library, it offers data structures such as Series and DataFrame that are tailored for data analysis jobs and are built on top of the NumPy library.

Read more: This Valentine’s Day, Don’t Use ChatGPT to Impress Your Partner

Here are 15 open-source tools that can enhance your experience while using Pandas.

1. Sketch 

Sketch is an AI-based code-writing assistant for the panda framework that recognises the context of your data, boosting the value of ideas. Sketch can be used instantly and doesn’t need to be added as a plugin to your integrated development environment software (IDE).

2. Pandarallel 

By changing just one line of code, Pandarallel enables you to parallelise its processes to multiple CPU cores. Codes such as apply(), applymap(), groupby(), map(), and rolling() are all supported here.

3. Modin 

Much like Pandarallel, Modin can also be used to enhance your pandas workflow by altering a single line of code. 

4. Jupyter-Datatables 

The aim of Jupyter-Datatables is to improve DataFrame’s default preview. It comprises sorting, filtering, exporting, displaying column distribution, printing several data types, and pagination.

5. DuckDB

With DuckDB, you can analyse a Pandas DataFrame in Jupyter with SQL syntax without noticing any significant run-time differences. 

6. Swifter 

swifter package quickly and effectively applies any function to a pandas dataframe or series to make it faster.

7. Dora  

Dora, a python module, was created to automate the long processes involved in exploratory data analysis. Convenience functions for data cleansing, feature selection and extraction, visualisation, data partitioning for model validation, and data versioning are all included in the package. In addition, the library employs popular Python data analysis tools such as pandas, scikit-learn, and matplotlib.

8. Tabula-py 

tabula-py is a Python wrapper for tabula-java, a programme that can read tables from PDFs. Tables from a PDF can be read and then changed into a pandas DataFrame. A PDF file can also be transformed into a CSV, TSV, or JSON file using tabula-py.

9. Pandas Alive 

Similar to Pandas’ existing Visualisation function, Pandas Alive can generate animated matplotlib charts for Pandas DataFrames.

10. Visual Python 

A GUI-based Python code generator, Visual Python was created to serve as an add-on for JupyterLab, Jupyter Notebook, and Google Colab. An open-source project called ‘Visual Python’ was released by students who had trouble coding in their data science Python classes.

11. Mars 

Mars is a tensor-based unified framework that integrates numpy, pandas, scikit-learn, and other libraries for large-scale data computation.

12. Dexplot 

Dexplot is a Python module that provides users with a simple interface for data visualisations. Dexplot’s objectives are to keep an intuitive, consistent API with the fewest methods required to create the appropriate statistical plots and to give the user immense power without requiring matplotlib.

13. D-Tale 

D-Tale integrates a React front-end with a Flask backend to simplify exploring and analysing Pandas data structures and act as a visualiser. It supports python/ipython terminals and ipython notebooks. Pandas objects, such as DataFrame, Series, MultiIndex, DatetimeIndex, and RangeIndex, can work. 

14. Pandas-log 

Pandas-log provides feedback on the fundamental pandas’ activities. It offers wrapper functions for the most used ones, including. query,.apply, .merge, .group_by, and others.

15. Skimpy 

Using the terminal or your interactive Python window, the lightweight tool Skimpy generates summary statistics on variables in data frames. 

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