Artificial Intelligence #79

Hey, in this issue: hundreds of AI tools have been built to catch covid and none of them helped; a man defends against package thieves using machine learning, flour, and very loud sirens; Epistemic Neural Networks for uncertainty modeling in deep learning, what have language models actually learned, and more.

The sponsor of this issue is SambaNova .

• Hundreds of AI tools have been built to catch covid. None of them helped
• Man defends against package thieves using machine learning, flour, and very loud sirens
• DeepMind researchers introduce Epistemic Neural Networks (ENNs) for uncertainty modeling in deep learning (paper , code )
• What have language models actually learned ?
• [Sponsored] A modern approach to AI and machine learning enables a whole new class of AI applications

The demands of more sophisticated Artificial Intelligence have pushed classical compute hardware and software to its limits, creating an opportunity for a revolution in AI. Read this white paper from AI innovator, SambaNova Systems to get a look at next generation AI and its potential.

• Triton: a Python-like open-source GPU programming language for neural networks (tutorial )
• GitHub copilot and the unfulfilled promises of an artificial intelligence future
• [Book] The Machine Learning Engineering book
• Economist-less economics: the future of economics in an AI-biased world
• Facebook open-sourced a robotics development platform Droidlet (code )

The newsletter is now read by more than 450,000 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