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. Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.

Conference

AI+Science: Accelerating Discovery

May 05, 20268:30 AM - 5:00 PM

Wolfgang Lehrach | Code World Models for General Game Playing

SeminarMay 13, 202612:00 PM - 1:15 PM

May

2026

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.

Seminar

Wolfgang Lehrach | Code World Models for General Game Playing

May 13, 202612:00 PM - 1:15 PM

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.

This summit showcased the latest research in AI & education from Stanford faculty and researchers, examined how AI can be used to advance human learning through new pedagogies, new modalities of assessment, new foundation models, and more. In doing so, the summit asked the question of how AI can transform teaching and learning in an ethical, equitable, and safe manner.

Event Organizers

Isabelle Hau

Executive Director, Stanford Accelerator for Learning

John Robichaux

Director of Education, Stanford HAI

Ahmad Rushdi

Senior Manager of Research Collaborations

Event Hosts

Fei-Fei Li

Denning Co-Director, Stanford HAI | Sequoia Professor of Computer Science, Stanford University

Daniel Schwartz

I. James Quillen Dean, Stanford Graduate School of Education, Nomellini & Olivier Professor of Educational Technology, The Halper Family Faculty Director of the Stanford Accelerator for Learning