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

Dorsa Sadigh and Chelsea Finn Win the Best Paper Award at CORL 2020

Congratulations to Dorsa Sadigh, Chelsea Finn, and co-authors for winning the Best Paper Award at the 2020 Conference on Robot Learning for their paper “Learning Latent Representations to Influence Multi-Agent Interaction”.

Chirpy Cardinal Wins Second Place in the Alexa Prize

Congratulations to the SAIL Chirpy Cardinal for winning second place in the Alexa Prize. The team was led by PhD students Ashwin Paranjape and Abigail See, along with faculty advisor and SAIL Director Christopher Manning.

Chelsea Finn and Jiajun Wu Receive Samsung AI Researcher of the Year Awards

Congratulations to Chelsea Finn and Jiajun Wu for receiving Samsung AI Researcher of the Year awards!

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!

Fei-Fei Li Becomes Member of the National Academy of Medicine

Fei Fei Li has been elected to the NAM for helping establish the field of vision-based artificial intelligence, engendering diverse high-yield medical applications, including her current innovative focus on health-critical clinician and patient behavior recognition. Congratulations Fei Fei!

We Are Pleased to Welcome Two New Members of Our Faculty

Tatsunori Hashimoto who focuses on statistical tools to make machine learning systems more robust and reliable — especially in challenging tasks involving natural language.

Jiajun Wu who studies machine perception, reasoning, and its interaction with the physical world, drawing inspiration from human cognition.

See the Entire Faculty

Tatsunori Hashimoto
Tatsunori HashimotoMachine Learning & Natural Language Processing
Jiajun Wu
Jiajun WuComputer Vision, Machine Learning, Cognitive Science

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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