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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 1963.
Latest News
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### Carlos Guestrin named as new Director of the Stanford AI Lab!
We thank Christopher Manning for being Director of the Stanford AI Lab during a period of enormous growth for AI and SAIL from 2018–2025 and today welcome Carlos Guestrin, Fortinet Founders Professor of Computer Science, as the new Director of SAIL.
[Read More](https://guestrin.su.domains/ "Read full Article - Carlos Guestrin named as new Director of the Stanford AI Lab!")
### Congratulations to Prof. Fei-Fei Li for being one of the seven engineers who have made seminal contributions to the development of Modern Machine Learning awarded the 2025 Queen Elizabeth Prize for Engineering.
[Read More](https://qeprize.org/winners/modern-machine-learning "Read full Article - Congratulations to Prof. Fei-Fei Li for being one of the seven engineers who have made seminal contributions to the development of Modern Machine Learning awarded the 2025 Queen Elizabeth Prize for Engineering.")
### Congratulations, Emma for being elected as AAAI Fellow!
[Read More](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/ "Read full Article - Congratulations, Emma for being elected as AAAI Fellow!")
### Congratulations to Chelsea Finn, Dorsa Sadigh, and Sanmi Koyejo for all winning a Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor of the U.S. government for outstanding early career scientists and engineers.
[Read More](https://www.whitehouse.gov/ostp/news-updates/2025/01/14/president-biden-honors-nearly-400-federally-funded-early-career-scientists/ "Read full Article - Congratulations to Chelsea Finn, Dorsa Sadigh, and Sanmi Koyejo for all winning a Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor of the U.S. government for outstanding early career scientists and engineers.")
### Congratulations to Sebastian Thrun for receiving honorary doctorate from Geogia Tech!
Sebastian Thrun received an honorary Doctorate from Georgia Tech! This is Sebastian’s fourth honorary doctorate. Sebastian also served as a speaker for Georgia Tech’s Fall commencement ceremony
[Read More](https://news.gatech.edu/features/2024/11/fall-2024-commencement-speakers "Read full Article - Congratulations to Sebastian Thrun for receiving honorary doctorate from Geogia Tech!")
### Ellen Vitercik received a Schmidt Science 2024 AI2050 Early Career Fellow Award
[Read More](https://www.schmidtsciences.org/schmidt-sciences-to-award-12-million-to-advance-research-on-beneficial-ai/ "Read full Article - Ellen Vitercik received a Schmidt Science 2024 AI2050 Early Career Fellow Award")
### Tatsu Hashimoto and Shuran Song both received “Samsung AI Researcher of the Year” awards
[Read More](https://www.sait.samsung.co.kr/saithome/event/aiResearcher.do "Read full Article - Tatsu Hashimoto and Shuran Song both received “Samsung AI Researcher of the Year” awards")
### Congratulations to Stanford AI Lab PhD student Dora Zhao for an ICML 2024 Best Paper Award!
Congratulations to Stanford AI Lab PhD student Dora Zhao for an ICML 2024 Best Paper Award for a paper from her work at Sony AI on: Measure Dataset Diversity, Don’t Just Claim It
[Read More](https://arxiv.org/abs/2407.08188 "Read full Article - Congratulations to Stanford AI Lab PhD student Dora Zhao for an ICML 2024 Best Paper Award!")
### Congratulations to Aaron Lou, Chenlin Meng, and Stefano Ermon for an ICML 2024 Best Paper Award!
Congratulations to Aaron Lou, Chenlin Meng, and Stefano Ermon for an ICML 2024 Best Paper Award: Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
[Read More](https://arxiv.org/abs/2310.16834 "Read full Article - Congratulations to Aaron Lou, Chenlin Meng, and Stefano Ermon for an ICML 2024 Best Paper Award!")
### Congratulations to Marco Pavone for a Robotics: Science and Systems Conference Best Paper Award!
Congratulations to Marco Pavone for winning the best paper award at the Robotics: Science and Systems Conference on AI Safety for autonomous systems.
[Read More](https://arxiv.org/abs/2407.08735 "Read full Article - Congratulations to Marco Pavone for a Robotics: Science and Systems Conference Best Paper Award!")
### Congratulations to Carlos Guestrin for being elected to the NAE!
Carlos Guestrin has been elected to the National Academic of Engineering “for scalable systems and algorithms enabling the broad application of machine learning in science and industry.”
[Read More](https://www.nae.edu/312025/NAENewClass2024 "Read full Article - Congratulations to Carlos Guestrin for being elected to the NAE!")
### Congratulations to Chris Manning on being awarded 2024 IEEE John von Neumann Medal!
Chris Manning has been awarded the 2024 IEEE John von Neumann Medal “for advances in computational representation and analysis of natural language.” This is one of IEEE’s top awards in computing, given with very broad scope “for outstanding achievements in computer-related science and technology.”
[Read More](https://corporate-awards.ieee.org/recipient/christopher-manning/ "Read full Article - Congratulations to Chris Manning on being awarded 2024 IEEE John von Neumann Medal!")
### SAIL Faculty and Students Win NeurIPS Outstanding Paper Awards
Congratulations to Sanmi Koyejo and his students for winning the NeurIPS Outstanding Paper Award, and congradulations to Chris Manning, Stefano Ermon, Chelsea Finn, and their students for winning Outstanding Paper Runner Up at NeurIPS!
[Read More](https://blog.neurips.cc/2023/12/11/announcing-the-neurips-2023-paper-awards/ "Read full Article - SAIL Faculty and Students Win NeurIPS Outstanding Paper Awards")
### Prof. Fei Fei Li featured in CBS Mornings the Age of AI
Follow Prof. Li's interview with CBS Mornings and on being named the "Godmother of AI"
[Read More](https://www.youtube.com/watch?v=PS-6ihFVX4A "Read full Article - Prof. Fei Fei Li featured in CBS Mornings the Age of AI")
Latest Tweets
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[@StanfordAILab](https://twitter.com/stanfordailab?lang=en "SAIL Twitter Account")
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[;](https://twitter.com/jadenvclark) [Jaden Clark](https://twitter.com/jadenvclark) [@jadenvclark](https://twitter.com/jadenvclark) ·
[February 12 1889738618102509662](https://twitter.com/jadenvclark/status/1889738618102509662)
How can we leverage human video data to train generalist robot policies? 🤖
Enter RAD: Reasoning through Action-Free Data, a new way to train robot policies using both robot and human video data via action reasoning. [https://rad-generalization.github.io](https://rad-generalization.github.io "https://rad-generalization.github.io")
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[;](https://twitter.com/stanfordailab) [Stanford AI Lab](https://twitter.com/stanfordailab) [@StanfordAILab](https://twitter.com/stanfordailab) ·
[February 10 1889021673619505397](https://twitter.com/stanfordailab/status/1889021673619505397)
SAIL is delighted to announce Carlos [@guestrin](https://twitter.com/guestrin), the Fortinet Founders Professor of Computer Science, as the next Director of [@StanfordAILab](https://twitter.com/StanfordAILab). Carlos is a talented researcher and leader, known for his work on explainability, graphs, compilation, and boosted trees in AI.
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[;](https://twitter.com/stanfordhai) [Stanford HAI](https://twitter.com/stanfordhai) [@StanfordHAI](https://twitter.com/stanfordhai) ·
[February 10 1889008210864218220](https://twitter.com/stanfordhai/status/1889008210864218220)
During her keynote at the Paris [#AIActionSummit](https://twitter.com/hashtag/AIActionSummit), our Co-Director [@drfeifei](https://twitter.com/drfeifei) challenged us to rethink how we approach the governance of AI. "It’s essential that we govern on the basis of science, not science fiction."
More from her [@FinancialTimes](https://twitter.com/FinancialTimes) op-ed:
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[;](https://twitter.com/tedai2024) [TEDAI San Francisco](https://twitter.com/tedai2024) [@TEDAI2024](https://twitter.com/tedai2024) ·
[February 10 1888981259336204533](https://twitter.com/tedai2024/status/1888981259336204533)
[@SuryaGanguli](https://twitter.com/SuryaGanguli) , Professor of Applied Physics, Associate Director of HAI Institute at Stanford and Venture Partner, Andreessen Horowitz (a16z), explores the intersections of neuroscience at TEDAI San Francisco stage!
Watch the full TED Talk [https://www.ted.com/talks/surya\_ganguli\_can\_ai\_match\_the\_hum...](https://www.ted.com/talks/surya_ganguli_can_ai_match_the_human_brain "https://www.ted.com/talks/surya_ganguli_can_ai_match_the_human_brain")
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[;](https://twitter.com/siyuhe7) [Siyu He](https://twitter.com/siyuhe7) [@SiyuHe7](https://twitter.com/siyuhe7) ·
[February 8 1888243803347369985](https://twitter.com/siyuhe7/status/1888243803347369985)
Thrilled to introduce [#CORAL](https://twitter.com/hashtag/CORAL)🪸—a deep probabilistic graphical model that integrates spatial multiomics data!
🔹Resolves spatial resolution discrepancies across modalities
🔹Deconvolutes low-res data to achieve single-cell granularity
🔹Enables parallel integrative analysis 1/🪸
[
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[;](https://twitter.com/mengyue_yang_) [Mengyue Yang](https://twitter.com/mengyue_yang_) [@Mengyue\_Yang\_](https://twitter.com/mengyue_yang_) ·
[February 7 1887866229496447317](https://twitter.com/mengyue_yang_/status/1887866229496447317)
🚨 4 Days Left! 🚨
ICLR 2025 Workshop: "World Models: Understanding, Modelling, and Scaling" is calling for submissions! 📢
đź“… Submission Deadline: February 10, 2025 (AoE)
đź“© Tiny paper: 2-5 main pages. Long paper: 6-9 main pages.
🔗 Submission Link: [https://openreview.net/group?id=ICLR.cc/2025/Workshop/World\_...](https://openreview.net/group?id=ICLR.cc/2025/Workshop/World_Models&referrer=%5BHomepage%5D\(%2F\)#tab-recent-activity… "https://openreview.net/group?id=ICLR.cc/2025/Workshop/World_Models&referrer=%5BHomepage%5D(%2F)#tab-recent-activity…")
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We Are Pleased to Welcome New Members of Our Faculty
----------------------------------------------------
**Diyi Yang** who focuses on Computational Social Science and Natural Language Processing
**Sanmi Koyejo** who focuses on Trustworthy Machine Learning for Healthcare and Neuroscience
[See the Entire Faculty](/faculty)
Ludwig SchmidtDatasets, Reliable Generalization, and Foundation Models.
Yejin ChoiNatural Language Processing and Deep Learning
Affiliates Program
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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](/ai-affiliates-program/)
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