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 1963.
Latest News
Congratulations to Stanford AI Lab PhD student Dora Zhao for an ICML 2024 Best Paper Award!
Congratulations to Stanford AI Lab PhD student Dora Zhao for an ICML 2024 Best Paper Award for a paper from her work at Sony AI on: Measure Dataset Diversity, Don’t Just Claim It
Congratulations to Aaron Lou, Chenlin Meng, and Stefano Ermon for an ICML 2024 Best Paper Award!
Congratulations to Aaron Lou, Chenlin Meng, and Stefano Ermon for an ICML 2024 Best Paper Award: Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Congratulations to Marco Pavone for a Robotics: Science and Systems Conference Best Paper Award!
Congratulations to Marco Pavone for winning the best paper award at the Robotics: Science and Systems Conference on AI Safety for autonomous systems.
Congratulations to Carlos Guestrin for being elected to the NAE!
Carlos Guestrin has been elected to the National Academic of Engineering “for scalable systems and algorithms enabling the broad application of machine learning in science and industry.”
Congratulations to Chris Manning on being awarded 2024 IEEE John von Neumann Medal!
Chris Manning has been awarded the 2024 IEEE John von Neumann Medal “for advances in computational representation and analysis of natural language.” This is one of IEEE’s top awards in computing, given with very broad scope “for outstanding achievements in computer-related science and technology.”
SAIL Faculty and Students Win NeurIPS Outstanding Paper Awards
Congratulations to Sanmi Koyejo and his students for winning the NeurIPS Outstanding Paper Award, and congradulations to Chris Manning, Stefano Ermon, Chelsea Finn, and their students for winning Outstanding Paper Runner Up at NeurIPS!
Prof. Fei Fei Li featured in CBS Mornings the Age of AI
Follow Prof. Li's interview with CBS Mornings and on being named the "Godmother of AI"
Latest Tweets
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Excited to announce our Vision-Language Models (VLM) image jailbreak paper will be a spotlight at #neurips2024 workshop @solarneurips ❤️🔥❤️🔥❤️🔥
TLDR: We failed to find image jailbreaks that transfer between ~40 (open parameter) VLM after trying pretty hard
Time has proven this tweet right.
@chrmanning said it best—excellent at NLP, but still far from true understanding.
The gap between prediction and the 'comprehending the presence' is far.
When we released the observational scaling law paper (http://arxiv.org/abs/2405.10938), we preregistered our predictions of future model performance (released after our paper) as a robustness check in the wild.
We have now assessed these predictions, and the results are encouraging!
Why hand-engineer digital twins when digital cousins are free?
Check out ACDC: Automated Creation of Digital Cousins 👭 for Robust Policy Learning, accepted at @corl2024! 🎉
📸 Single image -> 🏡 Interactive scene
⏩ Fully automatic (no annotations needed!)
🦾 Robot policies…
In real-world deployment settings, generative robot policies are bound to encounter out-of-distribution scenarios that cause them to fail in unexpected ways.
We present Sentinel, a runtime monitor that detects unknown failures of generative policies at deployment time!💂(1/6)
Check out our latest work on monitoring data-driven robot policies: Sentinel - a runtime monitor that detects unknown failures of generative policies at deployment time. Great work led by @agiachris Soon to be presented at @corl_conf
Paper:
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.
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