Welcome to the 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. For more information, please download the pdf of our brochure.

Recent News

Mike Wu and Team Win the AAAI 2019 Outstanding Student Paper Award

Congratulations to Mike Wu, Millan Mosse, Noah Goodman, and Chris Piechand for winning the AAAI 2019 outstanding student paper award!

Prof. Bohg Receives RSS 2020 Early Career Award

Congratulations to Prof. Bohg for earning an RSS 2020 Early Career Award!

Prof. Fei-Fei Li Elected to NAE

Congratulations to Prof. Fei-Fei Li for her election to the 2020 class of the National Academy of Engineering.

Prof. Dan Jurafsky Elected to AAAS

Congratulations to Prof. Dan Jurafsky for his 2020 election to the American Academy of Arts and Sciences.

2019 Technical Leadership Abie Award

Congratulations to Prof. Fei-Fei Li for her 2019 Technical Leadership Abie Awar presented by Anita Borg organization at the Grace Hopper Conference.

Best Paper Awards

SAIL best paper awards highlights:

          ICCV 2019 best paper runner ups:

         ICRA 2019 best paper:

New Faculty 

We are pleased to welcome two new faculty (1) Tatsunori Hashimoto who focuses on statistical tools to make machine learning systems more robust and reliable — especially in challenging tasks involving natural language; and (2) Jiajun Wu who studies machine perception, reasoning, and its interaction with the physical world, drawing inspiration from human cognition.

SAIL Affiliates News

The Stanford Computer Forum and CS Industry Affiliates Annual Meeting will be held virtually August 11 – 13, 2020.

This Annual Meeting will be co-hosted by SDSI, AI Safety, SAIL, and the Stanford Computer Forum. The three-day event will present opportunities for our industrial partners to hear about latest developments in timely and critical areas of technology. As in previous years, we look forward to sharing new faculty research and advances in big data, machine learning, reinforcement learning and natural language processing. 

To register please click here and use the registration password: signmeup2020

SAIL Affiliates Program Welcomes Newest Member:  Total

The SAIL Affiliates Program is pleased to welcome Total, a global leader in oil and gas exploration, production, power generation, transportation, refining, marketing, and trading with more than 900 subsidiaries operating in over 130 countries.

Faculty & Research Scientists

Affiliated Faculty

Former & Emeritus Faculty