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
SAIL Releases a New Video on the History of AI at Stanford
The Stanford Artificial Intelligence Lab has a rich history which you can learn about in a new video on AI at Stanford from 1962 to 2022. Click “Read More” below to see it.
Congratulations to Prof. Manning, SAIL Director, for his Honorary Doctorate at UvA!
Professor Manning is being awarded by the the University of Amsterdam for his pioneering research contributions in the field of Natural Language Processing (NLP).
AI Lab celebrates 50th Anniversary of Intergalactic “Spacewar!” Olympics
Stanford’s Artificial Intelligence Laboratory celebrated the 50th anniversary of the Intergalactic “Spacewar!” Olympics, the world’s first video game tournament on Wednesday, October 20th.
Chelsea Finn Explains Moravec’s Paradox in 5 Levels of Difficulty in WIRED Video
Prof. Finn explains Moravec’s paradox, which is the observation that many things that are difficult for robots are easy for humans and vice versa, to a child, a teenager, an undergrad, a grad student and finally to a colleague.
Prof. Oussama Khatib’s Journey with Ocean OneK
A robotic diving system that looks like a Transformer? Ocean OneK can go to depths that would kill a human diver. WIRED spoke with Professor Oussama Khatib to understand how he and his team designed, built and tested this robotic diver.
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.
Latest Tweets
🧵We’re excited to announce MegaBlocks, our system for efficient “dropless” MoE training! 🤖
MegaBlocks outperforms Tutel by up to 40% by reformulating MoEs as block-sparse operations, which allows us to avoid token dropping without sacrificing hardware efficiency 🚀.
Thank you @DorsaSadigh for visiting CMU and giving a great talk. It was a full house both in-person and zoom! Thoroughly enjoyed all the discussions.
a short teaser of what we’ve been up to lately @stanford: here is an end-to-end policy running on low-cost arms!
Attention is all you need... but how much of it do you need?
Announcing H3 - a new generative language models that outperforms GPT-Neo-2.7B with only *2* attention layers! Accepted as a *spotlight* at #ICLR2023! 📣 w/ @tri_dao
📜 https://arxiv.org/abs/2212.14052 1/n
We are organizing a workshop on
bridging learning and algorithmic fairness in the operation of urban infrastructure systems at the next CPS-IoT Week on May 9. More info here: (including call for papers). #CPSIoTWeek @alexandrebayen @DevanshJalota @jr_laz
AFL2023
This workshop aims to bring together researchers from across operations research, computer science, and transportation t...
sites.google.com
1/4 dog gets #cancer and we know little about how to treat.
Want to change that with our exciting new paper: we study >2K dogs w/ cancer to discover #mutations that predict survival + inform which drug to use. Fantastic collaboration w/ @FidoCure 🧬🐶
https://www.nature.com/articles/s41698-023-00346-3
⬇️
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