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AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.

AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.

While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.

The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
Join the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Stanford Arts on September 30 at 4pm PDT for a panel discussion of Coded Bias, a documentary film focusing on the ground-breaking research by MIT’s Joy Buolamwini into facial recognition technology’s troubling racial bias.
The panel discussion will include Coded Bias director Shalini Kantayya and HAI co-director and computer vision expert Fei-Fei Li, moderated by HAI associate director and Stanford professor of English Michele Elam.