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
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"
Congratulations to Fei-Fei Li for Winning the Intel Innovation Lifetime Achievement Award!
Congratulations Fei-Fei Li on this acknowledgement of her significant contributions in the field! The award was presented to her by Intel CEO Pat Gelsinger and recognizes her many advances in AI.
SAIL Chirpy Cardinal Team Wins First Place for Scientific Innovation in Alexa Prize
Congratulations to the Chirpy Cardinal team, led by Ryan Chi and mentored by Chris Manning, which has won first place for Scientific Invention and Innovation in the Alexa Prize SocialBot Grand Challenge 5!
Fei Fei Li and Andrew Ng Included on the Time 100 AI List
Congratulations to Professors Fei Fei Li and Andrew Ng, and SAIL students, Timnit Gebru, Neal Khosla, Stuart Russell, Richard Socher, Nancy Xu, for making it to the TIME100 AI list with the most influential people in artificial intelligence!
Chelsea Finn Wins Okawa Foundation Award
Congratulations to Professor Chelsea Finn for being one of the 7 people in the US selected to receive an award from the Okawa foundation! Her award is to support her work studying generality and dexterity in visuomotor control.
SAIL AI Legacy Video Wins Emmy Award
Our video highlighting 60 Years of Artificial Intelligence history at Stanford won the Science and Technology category at the 52nd Northern California Area Emmy Awards. Congratulations to everyone involved in SAIL and Stanford Video!
SAIL AI Legacy Video Wins Two Telly Awards
The SAIL AI at Stanford 1962-2022 video is a Gold Telly Winner in the Non-Broadcast – Documentary: Short Form (Under 40 Minutes) category, and a Silver Telly Winner in the Non-Broadcast – Educational Institution category.
Latest Tweets
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So excited to be at #NeurIPS2023 next week!
I'll be presenting two #AI4Science papers applying RL to climate tech and LLMs to climate science and policy:
⚗️ Deep RL for inverse catalysts design
🌎 LLMs confidence in the climate domain
Papers thread incoming! 🧵
We will be presenting PL-NeRF next week in @NeurIPSConf! See you all in New Orleans🎷! #NeurIPS2023
Video summary:
Project Page: https://pl-nerf.github.io
Code release: https://github.com/mikacuy/PL-NeRF
Finished off the quarter with a guest lecture at CS 236 (thanks @StefanoErmon for the pic). Excited to head to NeurIPS ✈️; feel free to reach out if you want to chat!
A thread of the work I'll be presenting (on geometric deep learning and text diffusion models). 🧵
Interested in mech interp of representations that deep networks learn?
If so, check out a new type of polysemanticity we call:
💥💥Incidental Polysemanticity 💥💥
Led by @vclecomte @kushal1t @tmychow @sanmikoyejo at @stai_research @StanfordAILab
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[1/5] Introducing VisDiff - an #AI tool that describes differences in image sets with natural language.
VisDiff can summarize model failures, compare models, find nuanced dataset differences, discover what makes an image memorable, and so much more!
https://understanding-visual-datasets.github.io/VisDiff-website/
![Image for the Tweet beginning: [1/5] Introducing VisDiff - an](https://pbs.twimg.com/media/GArFyeGacAATq_L.jpg)
Brand new SSL method that can learn multi-modular grid cells!
Totally different approach than the grid-cells-from-place-cells approach dominant over the past 5 years
Appearing at #NeurIPS2023
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