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 Jeannette Bohg, Zakir Durumeric, and Chelsea Finn for being selected as winners of this year’s Sloan Research Fellowships!
The fellows are “early-career scholars represent[ing] the most promising scientific researchers working today. Their achievements and potential place them among the next generation of scientific leaders in the U.S. and Canada.”
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 Oussama Khatib on Receiving the Title of Knight of the National Order of Merit of France!
Congratulations to Oussama Khatib on receiving the title of Chevalier de l’Ordre National du Mérite (English: Knight of the National Order of Merit) from the government of France. The French order of merit was established in 1963 with support from Charles de Gaulle. Membership in this order is awarded by the President of France.
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.
Latest Tweets
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Hello world, join us to once more explore new Frontiers in adversarial machine learning at @icmlconf 2023!
Organizers: @pinyuchenTW @sijialiu17 @dongxiaozhu @RICEric22 @KathrinGrosse, @baharanm and @sanmikoyejo
This is happening again! https://twitter.com/sciam/status/1371885698278690826
Stanford is offering its popular computer science intro course for free—and you can help teach it. (By @mehran_sahami @chrispiech @juliezelenski @LisaEinstein) https://www.scientificamerican.com/article/how-we-got-more-than-10-000-students-from-120-countries-to-embrace-the-joy-of-coding/
We're organizing an ICML workshop at the intersection of machine learning and systems, for efficient foundation models.
Please consider submitting your work, and hope to see you at @ICML in Hawaii! https://twitter.com/ESFoMo/status/1640676615981002758
Interested in large models training and inference? In the engineering behind PaLM, PyTorch 2.0, and more?
📢 Join us at the Efficient Systems for Foundation Models Workshop at #ICML in Hawaii!
⤵️ See our amazing speakers line-up and call for papers at http://gpusgobrrr.com
Our updated Machine Learning course starts April 3rd! Get a broad intro to ML and statistical pattern recognition. Deepen your understanding of ML algorithms as you learn to build them from scratch. Reserve your spot today! @tengyuma
https://online.stanford.edu/courses/xcs229-machine-learning
Who is talking about #AI? And who should be included in this global conversation? Heading to eastern Taiwan to meet with a (large) group of mostly rural and aboriginal high schoolers to have a dialogue with them about #AI and more importantly, the future they should be part of.
Follow along as we expand our zoo (now a safari?) of long sequence models 🦛🐕[?]
Want to enable next gen capabilities of deep learning for ✨everyone✨ https://twitter.com/realdanfu/status/1640762297428885507
This sentiment is exactly right - and why we've been working to increase sequence length in our lab for the past two years!
From FlashAttention, to S4, H3, Hyena, and more - check out our blog post putting this line of work into context: https://hazyresearch.stanford.edu/blog/2023-03-27-long-learning
More below: 1/n https://twitter.com/sama/status/1639765085848752128
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