This AI newsletter is all you need #21

What happened this week in AI by Louis

The lawsuit that could rewrite the rules of AI copyright …

Microsoft, GitHub, and OpenAI (all companies behind GitHub Copilot) are being sued for allegedly violating copyright law by reproducing open-source code using AI. The lawsuit, filed in California last week, is considered the first major copyright lawsuit involving an "AI system", with potential damages reaching $9B .

This lawsuit is mainly because, as most of you may know, Copilot has been found to regurgitate long sections of licensed code without providing credit, which was discovered by many users. This is also something that could cause problems for image models, as similar things could happen where we generate back images or sensitive data from the training set. Because of this, the outcome of this lawsuit will set an important precedent for future instances of AI infringing on copyright, IP, or other restricted information. It will also surely spark investigation into how to prevent this from happening!?

P.S.: we have the results for the NeurIPS giveaway powered by our friends at Activeloop ! Congratulations to Simon and Arav! I am excited to see you there in person!

Hottest News

1. Midjourney V4 is out! V4 is a new model trained from scratch by Midjourney. It has a totally new codebase and has been in the works for 9 months! Try it out on their Discord server .
2. Deepmind Scholarships - building a stronger and more inclusive AI community These scholarships offer students from underrepresented groups financial support to study graduate courses relating to AI and adjacent fields, support from a DeepMind mentor, and opportunities to attend leading AI academic conferences. "Our vision is to help make the AI ecosystem more representative of society. The DeepMind scholarship programme aims to help extend opportunities and remove barriers for underrepresented groups so they can bring their unique perspectives and backgrounds to the exciting field of AI."
3. What Do Businesses Want From AI? In a study commissioned by Capital One, Forrester Consulting surveyed 150 data management decision-makers in North America about their organizations’ ML goals, challenges, and plans to operationalize ML. Respondents revealed that ML is beginning to drive business impact, with automated anomaly detection as the top priority in the next one year to three years.

Some additional key highlights:

• 53% of respondents plan to improve business efficiency by leveraging ML.
• 73% of respondents find transparency, traceability, and explainability of data flows challenging.
• 67% of respondents intend to leverage partnerships to fill ML staff gaps.

Most interesting papers of the week

1. TAP-Vid: A Benchmark for Tracking Any Point in a Video. A new benchmark for tracking points on physical surfaces in videos!
2. FactorMatte: Redefining Video Matting for Re-Composition Tasks . They propose factor matting, an alternative formulation of the video matting problem in terms of counterfactual video synthesis that is better suited for re-composition tasks.
3. Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale . They find that accessible text-to-image models amplify dangerous and complex stereotypes, which are difficult to predict and not easily mitigated by users or model owners.

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The Learn AI Together Community section!

Meme of the week!

Featured Community post from the Discord

Fausto_ST has made a directory of cool AI-image tools, combining his interest in this trend with his #100DaysOfNoCode challenge on Twitter ???

Check it out, it’s really well done and exhaustive! A really cool project that also benefits others interested in AI x Image tools ???

https://ai-image-tools.softr.app/ ?

AI poll of the week!

TAI Curated section

Article of the week

Ant Colony Optimization: An overview by Chinmay Bhalerao

A group of unique problem-solving techniques and approaches that are inspired by natural processes are known as “nature-inspired algorithms.” The ant colony optimization algorithm (ACO), used in computer science and operations research, is a probabilistic method for resolving computing issues that may be simplified to finding appropriate paths through graphs. This blog briefly explains the intuition and math behind ACO.?

Our must-read articles

Deal With an Imbalanced Dataset With TensorFlow, LightGBM, and CatBoost by Konstantin Pluzhnikov

Detecting Bad Posture With Machine Learning by Leon Eversberg

If you are interested in publishing with Towards AI, check our guidelines and sign up . We will publish your work to our network if it meets our editorial policies and standards.

Featured jobs this week

Data Scientist @ Alethea Group (Remote, US)

Senior/Staff Machine Learning Engineer, Infrastructure & Earnin (Remote)

AI Content Fellowship @ Deepgram (Remote)

Machine Learning Engineer, Copilot Model Improvements @ Github (Remote, US)

Machine Learning Engineering Manager @ Verana Health (Remote)

AI Implementation Manager (Healthcare) @ ClosedLoop (Remote)

Interested in sharing a job opportunity here? Contact [email protected] or post the opportunity in our #hiring channel on discord!

If you are preparing your next machine learning interview, don’t hesitate to check out our leading interview preparation website, confetti !