Artificial Intelligence #119

Hey, in this issue: how to protect ML models and IP; a ML model predicts homelessness among US soldiers; is it possible to make AI dumb-mistakes free?; automated model-parallel deep learning from Google; rethinking human-in-the-loop for artificial augmented intelligence; a huge dataset for face recognition; and more.

This issue is sponsored by Tecton and ProjectPro.

• How should you protect your machine learning models and IP?
• [DeepMind] Tackling multiple tasks with a single visual language model
• [The Gradient] Beyond message passing: a physics-inspired paradigm for graph neural networks
• [Data] WebFace260M: a benchmark for million-scale deep face recognition (paper, data)
• [Sponsored] Free registration for apply(): the conference for ML data engineering

Join us at apply(), the free, online event for ML data engineering. Users and thought leaders share their experiences and best practices on ML data engineering. Speakers include practitioners from Stripe, a16z, Facebook, Snapchat, Spotify, Wikimedia, and more. Register for free at applyconf.com.

• A machine-learning model predicts homelessness among US soldiers before their transition to civilian life
• AI software clears high hurdles on IQ tests but still makes dumb mistakes. Can better benchmarks help?
• [Sponsored] Get job-ready with 220 ready-made end-to-end project solutions in Data Science. Real business problems with solutions.
• [Google] Alpa: automated model-parallel deep learning
• Rethinking human-in-the-loop for artificial augmented intelligence

The newsletter is now read by more than 580,000 subscribers. If you are building an AI or a data product or service, you are invited to join the list of these great companies by becoming a sponsor of one of the future newsletter issues. Feel free to reach out to [email protected] for more details on sponsorships.

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Have a nice weekend! See you next week. — Andriy