Artificial Intelligence #107

Hey, in this issue: machine learning becomes a mathematical collaborator; humans find AI-generated faces more trustworthy than the real thing; how Uber predicts arrival times using deep learning; artist uses AI to perfectly fake 70s science fiction pulp covers; the unified ML framework, enabling framework-agnostic functions, layers, and libraries; and more.

This issue is sponsored by AtScale and CoreWeave .

• Machine learning becomes a mathematical collaborator
• [SciAm] Humans find AI-generated faces more trustworthy than the real thing
• Deep reinforcement learning algorithm completing Tekken Tag Tournament at highest difficulty level (video , code , docs )
• DeepETA: how Uber predicts arrival times using deep learning
• [Sponsored] How to accelerate AI and BI impact with an effective data strategy

Are you interested in learning how to accelerate AI and BI impact with an effective data strategy? Join this Data Leader panel with Bank of America, The Hanover Insurance Group, Rockwell Automation, and SAP

• EleutherAI releases weights for GPT-NeoX 20B and a tech report (tech report , code , slim weights , full weights )
• ML training compute has been doubling every 6 months since 2010 (paper )
• [Sponsored] CoreWeave unlocks the power of the largest open source language model, EleutherAI's Gpt-NeoX-20b, on GooseAI
• Artist uses AI to perfectly fake 70s science fiction pulp covers – artwork and titles
• [Project] The unified machine learning framework, enabling framework-agnostic functions, layers, and libraries

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