Artificial Intelligence #77

Hey, in this issue: DeepMind open sources AlphaFold code, DARPA releases “Common Sense AI” dataset, why 90% of machine learning models never hit the market, how video game artificial intelligence is evolving, a library of self-supervised methods for visual representation learning, and more.

The sponsors of this issue are Aible and InterviewQs.

• DeepMind open sources AlphaFold code (paper, code)
• Blender Bot 2.0: An open-source chatbot that builds long-term memory and searches the internet
• [Project] solo-learn: a library of self-supervised methods for visual representation learning
• Google released a new physics simulator Brax; it will help speeding up reinforcement learning
• [Sponsored] Gartner Ranks Aible #1 for Cloud AI - Automated Machine Learning: Report

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• DARPA releases “Common Sense AI” dataset along with two machine learning models (paper)
• Think, fight, feel: how video game artificial intelligence is evolving
• [Sponsored] InterviewQs - Get better at data science interviews by solving a few questions per week for free
• Why 90% of machine learning models never hit the market
• Scaling AI and data science – 10 smart ways to move from pilot to production

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