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
Looking for a good read for the holidays?
Check out our new blog post by @fereshte_khani , with a simple example explaining when machine learning models are incentivized to discriminate and why they devalue a good candidate from a lower-performing group.
https://ai.stanford.edu/blog/Bluepeoplevs.Neycity/
We support our @StanfordAILab alum @timnitGebru, her critical research on fairness & ethics in AI, and her tireless work in organizing for a more ethical & inclusive AI community. It’s urgent that voices like hers be heard and that we prioritize work on inclusion & ethics in AI.
Thank you @fdellaert for an exciting overview of NeRFs!
Featuring works by SAIL’s @jiajunwu_cs and @mshlguo
2020 was the year in which *neural volume rendering* exploded onto the scene, triggered by the impressive NeRF paper by Mildenhall et al. I wrote a post as a way of getting up to speed in a fascinating and very young field and share my journey with you: https://dellaert.github.io/NeRF/
A major long-term goal of computational neuroscience is to identify the brain's learning algorithms. Can we use artificial neural networks to guide this discovery?
Check out this blog post by @aran_nayebi about recent work accepted at #NeurIPS2020: https://ai.stanford.edu/blog/lr-identify/
The Neural Information Processing Systems (NeurIPS) 2020 conference is being hosted virtually from Dec 6th - Dec 12th. We’re excited to share all the work from SAIL that’s being presented, with links to papers, videos and more in this blog post:
https://ai.stanford.edu/blog/neurips-2020/
Language is a powerful mechanism for people to communicate goals, beliefs and concepts. Can we use language to train machine learning models?
Read our new blog post on Learning from Language Explanations:
https://ai.stanford.edu/blog/learning-from-language/
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.
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