Simons Institute for the Theory of Computing
Support Research on the Foundations of Computing
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Call for Proposals: Circles
Circles, the Simons Institute — Jane Street Small Group Collaborations, will support groups of 3–6 researchers to collaborate on ambitious research projects.
Upcoming Events
Workshops & Symposia
Program
Special Year on Large Language Models and Transformers, Part 2
Program
Data Structures and Optimization for Fast Algorithms
Program
Special Year on Large Language Models and Transformers, Part 2
News
Greetings from Berkeley, where the spring semester is just getting underway. This term, we are hosting the second half of the Special Year on Large Language Models and Transformers. This program explores LLMs from a broad perspective, asking questions about their power, scalability, trustworthiness, safety, implications for research in the sciences, and the legal frameworks in which LLMs operate, as well as their impacts on society at large.
The New York Public Library sells a magnet printed with words by the American author Fran Lebowitz: “Think before...
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Current Programs
Organizers
+3
Boaz Barak,
Yejin Choi
and 4 more
Research Pods
Researchers
+3
Peter Bartlett,
Keaton Ellis
and 4 more
Researchers
+10
Nikolas Breuckmann,
Anthony Chen
and 11 more
Researchers
+1
Shafi Goldwasser,
Venkatesan Guruswami
and 2 more
Future Programs
SimonsTV
Boaz Barak | Polylogues
Debate: Sparks versus embers
Strong Generalization from Small Brains and No Training Data
Speculations on Test-Time Scaling | Richard M. Karp Distinguished Lecture
Other announcements
Healthy Community
We ask that visitors be vigilant in protecting the health of our community by staying home if they are feeling unwell and may have a communicable illness.
Based on public health regulations, the Simons Institute no longer requires masking or COVID-19 testing. For reference, see the CDC’s recommendations for reducing the spread of respiratory illnesses.
Participate
Applications are welcome for postdoctoral fellowships in the research pods on Quantum Computing and on Machine Learning.
Learn more about how to participate in the life of the Institute.
Applications are invited for Circles, the Simons Institute — Jane Street Small Group Collaborations, which will support groups of 3–6 researchers to collaborate on ambitious research projects.
Related UC Berkeley Courses and Seminar Series, Spring 2025
Designing, Visualizing and Understanding Deep Neural Networks (CS 282A 001)
Anant Sahai
Monday/Wednesday, 2–3:30 p.m.
Soda 306
AI Meets Biology & Chemistry (CS 294 150)
Jennifer Listgarten
Monday, 2–5 p.m.
Berkeley Way West 1211
Physics Inspired Deep Learning (CS 294 254)
Aditi S Krishnapriyan
Tuesday/Thursday, 2–3:30 p.m.
Hearst Field Annex B1
AI in Education (CS 294 271)
Gireeja Vishnu Ranade
Narges Norouzi
Tuesday, 2–3:30 p.m.
Cory 521
Advanced Large Language Model Agents (CS 294 280)
Dawn Song
Monday, 4–6 p.m.
Anthro/Art Practice Bldg 160
Data Analysis and Machine Learning for Real-World Decision Making (STAT 214)
Bin Yu
Healthy Community
We ask that visitors be vigilant in protecting the health of our community by staying home if they are feeling unwell and may have a communicable illness.
Based on public health regulations, the Simons Institute no longer requires masking or COVID-19 testing. For reference, see the CDC’s recommendations for reducing the spread of respiratory illnesses.
Participate
Applications are welcome for postdoctoral fellowships in the research pods on Quantum Computing and on Machine Learning.
Learn more about how to participate in the life of the Institute.
Applications are invited for Circles, the Simons Institute — Jane Street Small Group Collaborations, which will support groups of 3–6 researchers to collaborate on ambitious research projects.
Related UC Berkeley Courses and Seminar Series, Spring 2025
Designing, Visualizing and Understanding Deep Neural Networks (CS 282A 001)
Anant Sahai
Monday/Wednesday, 2–3:30 p.m.
Soda 306
AI Meets Biology & Chemistry (CS 294 150)
Jennifer Listgarten
Monday, 2–5 p.m.
Berkeley Way West 1211
Physics Inspired Deep Learning (CS 294 254)
Aditi S Krishnapriyan
Tuesday/Thursday, 2–3:30 p.m.
Hearst Field Annex B1
AI in Education (CS 294 271)
Gireeja Vishnu Ranade
Narges Norouzi
Tuesday, 2–3:30 p.m.
Cory 521
Advanced Large Language Model Agents (CS 294 280)
Dawn Song
Monday, 4–6 p.m.
Anthro/Art Practice Bldg 160
Data Analysis and Machine Learning for Real-World Decision Making (STAT 214)
Bin Yu