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
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!
Dorsa Sadigh Receives MIT Technology Review TR-35 Award
Congratulations to SAIL faculty Dorsa Sadigh on receiving an MIT Tech Review TR-35 award for her work on teaching robots to be better collaborators with people.
Anna Goldie Receives MIT Technology Review TR-35 Award
Congratulations to SAIL PhD student Anna Goldie on receiving an MIT Tech Review TR-35 award for her work on AI layout of computer chips with deep reinforcement learning.
Emma Pierson Receives MIT Technology Review TR-35 Award
Congratulations to recent SAIL PhD graduate Emma Pierson on receiving an MIT Tech Review TR-35 award for her work on using AI to reveal health disparities across race, gender and class.
Latest Tweets
🌲 Welcome to all the new – and returning – students to the @StanfordAILab! It’s so great to be seeing people IRL, and the faculty look forward to seeing more of you in person in the coming days. 🌲
Now on the SAIL blog: @hazyresearch and @krandiash write a retrospective on the Hazy lab's journey in data-centric AI, and a new effort to build a community resource for data-centric AI on GitHub ().
Check it out!
http://ai.stanford.edu/blog/data-centric-ai-retrospective/
GitHub - HazyResearch/data-centric-ai: Resources for Data Centric AI
Resources for Data Centric AI. Contribute to HazyResearch/data-centric-ai development by creating an account on GitHub.
github.com
Congrats to Ron Dror, @raphaeljlt, Stephan Eismann, and Masha Karelian at @DrorLab and coauthors at @RDasLab for the front page of @ScienceMagazine
Geometric deep learning of RNA structure
Perspective http://science.sciencemag.org/content/373/6558/964 Podcast http://fcld.ly/n1je7bt
Geometric deep learning of RNA structure
RNA molecules fold into complex three-dimensional shapes that are difficult to determine experimentally or predict compu...
science.sciencemag.org
Hot off the press: an interactive dashboard showing the predicted effects of COVID-19 restrictions that won KDD Best Paper in the Applied Data Science Track! A must-read post. Congrats to @serinachang5 et al on their awesome work. https://ai.stanford.edu/blog/covid-policy-tool/
Check out @AjayMandlekar 's new work on robomimic, and see his SAIL blog post about the work at https://ai.stanford.edu/blog/robomimic/ !
Robot learning from human demos is powerful yet difficult due to a lack of standardized, high-quality datasets.
We present the robomimic framework: a suite of tasks, large human datasets, and policy learning algorithms.
Website: https://arise-initiative.github.io/robomimic-web
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Great article about @Stanford @ai4allorg – @StanfordAILab’s program to broaden who is included in the study of AI – came out yesterday in the @StanfordDaily:
Stanford’s AI4ALL program mentors new generation of diverse leaders in artificial intelligence | The Stanford Daily
Stanford’s AI4ALL program introduces the theory and application of AI to students, many from underrepresented back...
www.stanforddaily.com
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