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 1962.
Latest News
Five SAIL faculty named CZ Biohub Investigators
Congratulations to all five SAIL faculty Stefano Ermon, Emily Fox, Carlos Guestrin, Serena Yeung, and James Zou for being named Chan Zuckerberg Biohub investigators.
Prof. Dorsa Sadigh awarded an Okawa Foundation Research Grant
Congratulations to Prof. Sadigh! Dorsa is one of 7 assistant professors in the US who received this prestigious award for 2021.
Prof. Jiajun Wu and Pranav Rajpurkar (recent grad) Named to the Forbes 30 Under 30 in Science
Congratulations to Assistant Professor Jiajun Wu and our recent grad Pranav Rajpurkar on being named to the Forbes 30 under 30 in Science list!
Chirpy Cardinal SAIL Student Team Gets 2nd Place in Alexa Prize Socialbot Grand Challenge 4
Congratulations to Chirpy Cardinal! The team, led by Ethan Chi and advised by Chris Manning got 2nd place for the 2nd year running.
Professor Ron Dror and Students Raphael Townshend and Stephan Eismann Featured on the Front Cover of Science
Congratulations to Professor Ron Dror and students Raphael Townshend and Stephan Eismann who were featured on the front cover of Science for their paper “Geometric deep learning of RNA structure”.
AI4ALL Highlighted in The Stanford Daily
The Stanford Daily reports on how Stanford’s AI4ALL program mentors a new generation of diverse leaders in artificial intelligence.
Aditya Grover Wins SIGKDD Dissertation Award
Congratulations to Professor Stefano Ermon advisee Aditya Grover for winning the SIGKDD Dissertation Award!
Latest Tweets
(1/n) This week we have @fredsala on the Stanford MLSys Seminar, live on Thursday at 1:30 PM! Fred was a postdoc at @StanfordAILab, and is now a professor at @WisconsinCS and a research scientist at @SnorkelAI -- so he knows a thing or two about MLSys.
https://www.youtube.com/watch?v=XbnAYeSJ3EU
“To a growing extent, advances across machine learning application domains are driven by advances in NLP”
Amen! That’s what we like to hear! And congrats to @StanfordAILab roboticist @leto__jean for invited talk! HT @jacobandreas
Workshop on NL Supervision 2022
The First Workshop on Learning with Natural Language Supervision ACL 2022 To a growing extent, advances across machi...
sites.google.com
Next Thursday, Jan 20, @CSETGeorgetown and HAI are teaming up to discuss the National Research Cloud's impact on U.S. national security. Join this important conversation with HAI’s @russellwald, @jjding99, and CSET’s @AndrewJLohn. Register now:
Strengthening the Technical Foundations of U.S. Security - Center for Security and Emerging Technology
Join Stanford HAI Director of Policy Russell Wald, CSET Senior Fellow Andrew Lohn and Stanford HAI Postdoctoral Fell...
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Many @StanfordAILab faculty have been selected to join the next cohort of @cziscience Chan-Zuckerberg Biohub Investigators—congratulations to them all!!! @StefanoErmon, Emily Fox, Carlos @guestrin, Serena @syeung10, and @james_y_zou.
Investigator Competition 2021
We are pleased to announce a call for applications to select the next cohort of Chan Zuckerberg Biohub Investigato...
www.czbiohub.org
Do you find it hard to reason about the scale of compute required for training large LMs? I have just written a tutorial for you:
The FLOPs Calculus of Language Model Training
Extremely large language models like the famous GPT-3 by OpenAI are all the rage. Many of us are now trying to get a sense of scale of the…
medium.com
Curious about our professional AI courses? Don't miss our next webinar! Learners will present original projects developed in our Natural Language Understanding course. Q&A covering the AI professional program to follow. @StanfordAILab @ChrisGPotts
Webinar: NLU Project Showcase & AI Program Q&A
Watch as our learners present original projects they developed in our Natural Language Understanding course. Get answe...
learn.stanford.edu
We Are Pleased to Welcome a New Member of Our Faculty
Carlos Guestrin who focuses on Machine Learning, Explainability, Fairness and ML Systems.
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