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.
We’re looking for dedicated and inspired people to join our dynamic SAIL community
We want to hear from you!
Our genuine passion for Artificial Intelligence (AI) is evident through the work we do. We’re looking for postdoctoral scholars who share that passion to join us, as we shape and transform the future of AI. Our goal is to create a workplace where you can be inspired and be inspiring. If you are interested, please submit your application here.
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:
- Chengxu Zhuang, Alex Zhai, Daniel Yamins: Local aggregation for Unsupervised Learning of Visual Embeddings
- Charles R. Qi, Or Litany, Kaiming He, Leonidas Guibas: Deep Hough Voting for 3D Object Detection in Point Clouds
ICRA 2019 best paper:
- Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg. Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. Best paper award at ICRA 2019.
SAIL announces new research initiative funded by JD.com
SAIL is delighted to announce that JD.com, China’s largest retailer has agreed to establish the SAIL JD AI Research Initiative, a sponsored research program at the Stanford Artificial Intelligence Lab. The collaboration will fund research into a range of areas including natural language processing, computer vision, robotics, machine learning, deep learning, reinforcement learning, and forecasting.
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
SAIL welcomes new Industry Affiliates Serba Dinamik and Virtusa. Serba Dinamik is an engineering solutions provider to the O&G and power generation industries with operational facilities in Malaysia, Indonesia, UAE, Bahrain and the UK. Virtusa is a global provider of Digital Business Transformation, Digital Engineering, and Information Technology (IT) services, serving Global 2000 companies in Banking, Financial Services, Insurance, Healthcare, Telecommunications, Media, Entertainment, Travel, Manufacturing, and Technology industries.