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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.
We will provide an update on HAI's progress since the spring and preview upcoming activities and opportunities to get involved. HAI Associate Director James Landay will share highlights from HAI grant programs as well as details on upcoming opportunities, including the Hoffman-Yee program providing grants of up to $2.5m over three years, and tips for submitting a successful proposal. In addition, Percy Liang, Associate Professor of Computer Science and Faculty Director of HAI's new Center for Research on Foundation Models (CRFM) will provide an overview of the center’s efforts and opportunities to get involved. There will also be an opportunity for faculty to ask questions and give feedback.
The Town Hall is open to all members of the Stanford Faculty.