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
Dorsa Sadigh and Chelsea Finn Win the Best Paper Award at CORL 2020
Congratulations to Dorsa Sadigh, Chelsea Finn, and co-authors for winning the Best Paper Award at the 2020 Conference on Robot Learning for their paper “Learning Latent Representations to Influence Multi-Agent Interaction”.
Chirpy Cardinal Wins Second Place in the Alexa Prize
Congratulations to the SAIL Chirpy Cardinal for winning second place in the Alexa Prize. The team was led by PhD students Ashwin Paranjape and Abigail See, along with faculty advisor and SAIL Director Christopher Manning.
Chelsea Finn and Jiajun Wu Receive Samsung AI Researcher of the Year Awards
Congratulations to Chelsea Finn and Jiajun Wu for receiving Samsung AI Researcher of the Year awards!
Dorsa Sadigh Earns AFOSR Young Investigator Research Program Award
Congratulations to Dorsa Sadigh for winning the Air Force Office of Scientific Research Young Investigator Research Program award for her research proposal “Adaptive Conventions for Trustworthy Human-Robot Interaction.”
Jurafsky Ph.D. Student Lucy Li and Co-Authors Awarded Best Paper by the American Educational Research Association
Congratulations to Lucy Li, Dorottya Demszky, Patricia Bromley, and Dan Jurafsky for earning the Best Paper award from the American Educational Research Association!
Fei-Fei Li Becomes Member of the National Academy of Medicine
Fei Fei Li has been elected to the NAM for helping establish the field of vision-based artificial intelligence, engendering diverse high-yield medical applications, including her current innovative focus on health-critical clinician and patient behavior recognition. Congratulations Fei Fei!
Latest Tweets
Language is a powerful mechanism for people to communicate goals, beliefs and concepts. Can we use language to train machine learning models?
Read our new blog post on Learning from Language Explanations:
https://ai.stanford.edu/blog/learning-from-language/
Congratulations to @DorsaSadigh, @chelseabfinn, and students, Annie, Dylan, and Ryan, on winning the Best Paper Award at the 4th Conference on Robot Learning (CoRL) for: Learning Latent Representations to Influence Multi-Agent Interaction.
https://syncedreview.com/2020/11/17/conference-on-robot-learning-corl-2020-underway-best-paper-finalists-announced/
For many years, the Stanford AI Lab has had a somewhat embarrassing old website—originally put together by @percyliang in WordPress, but really not indicative of the quality of his research!
However, starting today, we have a spiffy new website online!
https://ai.stanford.edu/
The Conference on Robot Learning (CoRL) 2020 is being hosted virtually this week.
We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and more in our latest blog post:
https://ai.stanford.edu/blog/corl-2020/
EMNLP 2020 is being hosted virtually this week, and we're looking forward to seeing everyone there!
We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and more in our latest blog post:
https://ai.stanford.edu/blog/emnlp-2020/
Interaction with others is an important part of everyday life, but often not addressed with today's AI methods.
Check out our new blog post on a framework for multi-agent interaction that captures agents' strategies:
https://ai.stanford.edu/blog/lili/
We Are Pleased to Welcome Two New Members of Our Faculty
Tatsunori Hashimoto who focuses on statistical tools to make machine learning systems more robust and reliable — especially in challenging tasks involving natural language.
Jiajun Wu who studies machine perception, reasoning, and its interaction with the physical world, drawing inspiration from human cognition.
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