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
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”
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!
Latest Tweets
How heavy is an elephant? In our latest blog post, @xikun_zhang_ explains that a weakness in current language models is that they don't capture scales well, and proposes a new model, NumBERT, that does. Length of reading time? 2 minutes to 2 years. https://ai.stanford.edu/blog/scalar-probing/
We need to be thoughtful about whether uses of robots improve or are detrimental to the lives of humans. [Why I was wrong to be optimistic about robots | Financial Times HT @erikbryn] https://www.ft.com/content/087fce16-3924-4348-8390-235b435c53b2
HAI Town Hall for Stanford Faculty, March 18, 5pm https://hai.stanford.edu/events/hai-town-hall-faculty-0
Arthur Samuel was an early explorer of machine learning, coining the term in 1959 and writing a program that learned to play checkers. Much later in life, he wrote manuals for the then custom software run on the @StanfordAILab computers. HT @larsbrinkhoff. http://i.stanford.edu/pub/cstr/reports/cs/tr/81/839/CS-TR-81-839.pdf
AI courses at @Stanford: “It’s all student demand-driven, which just reflects the huge breakthroughs that have been made in AI recently and the huge enthusiasm among students to learn this,” said Christopher Manning Ph.D. ’94 @chrmanning, director of SAIL.
https://www.stanforddaily.com/2021/02/04/the-rise-of-ai-in-stanfords-cs-curricula/
Sometimes, machine learning models focus on irrelevant patterns in data; yet, removing those patterns can hurt performance, and this issue can disproportionately affect certain groups. Why is that?
Read our latest post to find out more! - https://ai.stanford.edu/blog/removing-spuriousfeature/
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.
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.
Learn More