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
;
How can robots acquire fine-grained manipulation skills?
Introducing ACT: Action Chunking with Transformers 🤖
Key idea: Imitation, but predict actions in chunks instead of one at a time.
Here are results with only ~15min of demonstrations, running on low-cost arms:
Waiting for this thread for a long time! Fantastic work by @tonyzzhao showing the great potential of this bimanual teleoperation system. The conditional action synthesis makes a lot of sense in handling human demos for long-horizon tasks! https://twitter.com/tonyzzhao/status/1640393026341322754
Introducing ALOHA 🏖: 𝐀 𝐋ow-cost 𝐎pen-source 𝐇𝐀rdware System for Bimanual Teleoperation
After 8 months iterating @stanford and 2 months working with beta users, we are finally ready to release it!
Here is what ALOHA is capable of:
Just published! Our #EchoNet #AI can now assess point-of-care ultrasound for heart failure. Critical here to incorporate video quality detector to ensure that #AI predictions are reliable
https://www.sciencedirect.com/science/article/abs/pii/S0736467923000525
Our lightweight #RaspberryPi 🥧 setup @Stanford emerg dept pilot ⬇️
We introduce a system for fine-grained robotic manipulation! 🤖
What’s new?
* We can control cheap robots to do surprisingly dexterous tasks
* New technique that allows robots to learn fine motor skills
A short thread 🧵
Introducing ALOHA 🏖: 𝐀 𝐋ow-cost 𝐎pen-source 𝐇𝐀rdware System for Bimanual Teleoperation
After 8 months iterating @stanford and 2 months working with beta users, we are finally ready to release it!
Here is what ALOHA is capable of:
After winning AAG 2021 Dissertation Research Grant and AAG 2022 William L. Garrison Award, it is my great honor to get the AAG 2023 Nystrom Award for my recent GeoInformatica paper https://link.springer.com/article/10.1007/s10707-022-00481-2, thanks for all supports from @STKO_UCSB @StanfordAILab @GeographyUGA
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