Stanford AI Lab

The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1962.

Latest News

Yang Song, Stefano Ermon, and colleagues for win ICLR 2021 Outstanding Paper Award

Congratulations to Yang Song, Stefano Ermon, and colleagues for winning an ICLR 2021 Outstanding Paper Award for their paper “Score-Based Generative Modeling through Stochastic Differential Equations.”

Chris Ré and Colleagues win the NeurIPS 2020 Test of Time Award

Warm congratulations to Chris Ré for winning (with friends) the NeurIPS 2020 Test of Time Award for his work on HogWild!

Jiajun Wu wins the AAAI/ACM SIGAI Dissertation Award

Congratulations to Jiajun for winning the AAAI/ACM SIGAI Dissertation Award!

Annie Xie, Dylan Losey, and Ryan Tolsma Win the Best Paper Award at CORL 2020

Congratulations to Annie Xie, Dylan Losey, Ryan Tolsma, Chelsea Finn, and Dorsa Sadigh for winning the Best Paper Award at the 2020 Conference on Robot Learning for their paper “Learning Latent Representations to Influence Multi-Agent Interaction”

Dorsa Sadigh Earns AFOSR Young Investigator Research Program Award

Congratulations to Dorsa Sadigh for winning the Air Force Office of Scientific Research Young Investigator Research Program award for her research proposal “Adaptive Conventions for Trustworthy Human-Robot Interaction.”

Jurafsky Ph.D. Student Lucy Li and Co-Authors Awarded Best Paper by the American Educational Research Association

Congratulations to Lucy Li, Dorottya Demszky, Patricia Bromley, and Dan Jurafsky for earning the Best Paper award from the American Educational Research Association!

We Are Pleased to Welcome a New Member of Our Faculty

Carlos Guestrin who focuses on Machine Learning, Explainability, Fairness and ML Systems.

See the Entire Faculty

>Carlos Guestrin
Carlos GuestrinMachine Learning, Explainability, Fairness and ML Systems

Affiliates Program

Stanford AI Lab faculty and students enjoy chances to understand and solve the not-yet-doable pain points of industry. Get a chance to support and interact with SAIL’s brightest minds.

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