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
Congratulations to Daphne Koller for Winning the 2022 Technical Leadership Abie Award
Congratulations to co-founder of Coursera and adjunct faculty member Daphne Koller for winning the 2022 Abie Award celebrating a woman or non-binary technologist who led or developed a product, process, or innovation that made a notable impact on business or society.
Emma Brunskill recieves University of Washington CS Distinguished Alumni Award
Congratulations to Emma Brunskill on receiving a University of Washington Allen School Distinguished Alumni Award!
Fei-Fei Li wins the Thomas Huang Memorial Prize
Congratulations to Fei Fei Li for winning the Thomas Huang Memorial Prize!
Honorable Mention for the 2021 ACM Doctoral Dissertation Award to Dimitris Tsipras 
Congratulations to Dimitris Tsipras, Prof. Liang’s posdoct, for being an Honorable Mention for the 2021 ACM Doctoral Dissertation Award
Leo Guibas Elected to the National Academy of Sciences
Congratulations to Leo Guibas on being elected to the National Academy of Sciences!
Congratulations to Two SAIL Faculty for Winning ICLR 2022 Outstanding Paper Awards
Congratulations to Stefano Ermon and team for winning an Outstanding Paper Award and to Chris Re and team for Honorable Mention at ICLR 2022!
Latest Tweets
Excited to share ACID, our RSS 2022 work on volumetric deformable manipulation🐻.
Honored to be a Best Student Paper Award finalist. Much thanks to friends from @NVIDIAAI @UTCompSci @StanfordSVL #guibaslab @StanfordAILab for the discussion and feedback along the way. https://twitter.com/yukez/status/1557419973068439556
We've released an updated version of ACID, our #RSS2022 paper on volumetric deformable manipulation, with real-robot experiments.
ACID predicts dynamics, 3d geometry, and point-wise correspondence from partial observations. It learns to maneuver a cute teddy bear into any pose.
Great new work by @A_Aspuru_Guzik @MarioKrenn6240 @akshat_ai @UofTCompSci @VectorInst @CIFAR_News @MPI_Light @Stanford - 'Curiosity in exploring chemical spaces: intrinsic rewards for molecular #reinforcementlearning'- https://bit.ly/3cHO9pe #compchem #AI #machinelearning #HPC
📣 Excited to announce the First Workshop on Interpolation Regularizers such as Mixup at @NeurIPSConf.
Paper submission deadline: September 22, 2022
Speakers: @chelseabfinn, @prfsanjeevarora, Kenji Kawaguchi, Youssef Mroueh, Alex Lamb.
🧵👇
First Workshop on Interpolation-based Regularizations and Beyond
Interpolation regularizers are an increasingly popular approach to regularize deep models. For example, the mixup data ...
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Congratulations to @james_y_zou for making the 2022 #PowerList 🥳
Currently, James of @Stanford – works on data valuation, reducing bias and stereotype in AI, bringing machine learning to health and biotechnology, and more.
View the Power List bleow!
https://bit.ly/3S9DS5B
Finally find time to visit Stanford's beautiful campus😀
Might be a little late, but happy to share publicly that I'll start my PhD @StanfordAILab soon as a Stanford Graduate Fellow. Looking forward to continuing exciting research in generative models & geometric learning!!
Reinforcement learning (RL) algorithms are quite finicky -- sensitive to picking hard-to-tune hyperparameters -- compared to supervised deep learning, which has become much more robust the past decade. Will RL progress similarly? My thoughts in The Batch:
UK's Drone Superhighway, Largest Open Source Language Model
In this issue of The Batch: Autonomous aircraft in the UK are getting their own superhighway | Worldwide collabora...
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We Are Pleased to Welcome New Members of Our Faculty
Diyi Yang who focuses on Computational Social Science and Natural Language Processing
Sanmi Koyejo who focuses on Trustworthy Machine Learning for Healthcare and Neuroscience
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