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 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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How to understand visual appearances in an easily interpretable way? Check out our #ICCV2023 work on tree-structured shading decomposition from images! Easy understanding and editing for appearances even for novice users.
Project Page: https://chen-geng.com/inv-shade-trees
Excited to be at #ICCV2023 this week presenting our paper "Adaptive Testing of Computer Vision Models."
Work w/ the incredible @gabriel_ilharco, @scottlundberg, and @marcotcr.
Oral presentation: Wednesday 13:30-14:30
Poster session: Wednesday 14:30-16:30
LURE is a new RLAIF-inspired approach for reducing hallucinations in VLMs
1️⃣ Have LM generate 𝙙𝙞𝙨𝙥𝙧𝙚𝙛𝙚𝙧𝙧𝙚𝙙 text by inserting commonly cooccuring objects & uncertain text
2️⃣ Train a model to correct dispreferred➡️preferred text
Works quite well on 6 open-source VLMs!
Key Insight of TidyBot:
Summarization with LLMs is an effective way to achieve generalization in robotics from just a few example preferences.
Jimmy presents TidyBot on Monday afternoon at #IROS2023: MoBIP-16.5
Come by to chat!
Honored to be alongside @the_jennitaur and @navalny in @Stanford's Three Books program for all first year students.
Made it to Paris for #iccv2023. Looking forward to the Creative Video Editing and Understanding workshop!
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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