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
Carlos Guestrin named as new Director of the Stanford AI Lab!
We thank Christopher Manning for being Director of the Stanford AI Lab during a period of enormous growth for AI and SAIL from 2018–2025 and today welcome Carlos Guestrin, Fortinet Founders Professor of Computer Science, as the new Director of SAIL.
Congratulations to Prof. Fei-Fei Li for being one of the seven engineers who have made seminal contributions to the development of Modern Machine Learning awarded the 2025 Queen Elizabeth Prize for Engineering.
Congratulations, Emma for being elected as AAAI Fellow!
Congratulations to Chelsea Finn, Dorsa Sadigh, and Sanmi Koyejo for all winning a Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor of the U.S. government for outstanding early career scientists and engineers.
Congratulations to Sebastian Thrun for receiving honorary doctorate from Geogia Tech!
Sebastian Thrun received an honorary Doctorate from Georgia Tech! This is Sebastian’s fourth honorary doctorate. Sebastian also served as a speaker for Georgia Tech’s Fall commencement ceremony
Ellen Vitercik received a Schmidt Science 2024 AI2050 Early Career Fellow Award
Tatsu Hashimoto and Shuran Song both received “Samsung AI Researcher of the Year” awards
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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AI agents have the potential to significantly alter the cybersecurity landscape. Check out our latest blog post on BountyBench, the first framework to capture offensive & defensive cyber-capabilities in evolving real-world systems.
BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems
We introduce BountyBench, a cybersecurity benchmark featuring 25 systems with complex, real-world codebases, and 40 bug ...
ai.stanford.edu
1/ Model architectures have been mostly treated as fixed post-training.
🌱 Introducing Grafting: A new way to edit pretrained diffusion transformers, allowing us to customize architectural designs on a small compute budget.
🌎 https://grafting.stanford.edu/
Co-led with @MichaelPoli6
#CVPR2025 is here! Check out our new blog post highlighting SAIL papers accepted: https://ai.stanford.edu/blog/cvpr-2025/
What if LLMs could learn your habits and preferences well enough (across any context!) to anticipate your needs?
In a new paper, we present the General User Model (GUM): a model of you built from just your everyday computer use.
🧵
Excited to announce MIRIAD — a large-scale dataset of 5,821,948 medical question-answer pairs, each rephrased from passages in the medical literature.
Great collab with @QueyJ, @salmanabdullah_, @samarthrawal, @cyrilzakka, @SophieOstmeier, Maximilian Purk, @edreisMD, @EricTopol &…
Knowledge or Reasoning?
Evaluation matters, and even more so when using reasoning LLMs.
Look at final response accuracy, but also pay attention to thinking trajectories.
Lots of good findings on this one.
Here are my notes:
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