Simons Institute for the Theory of Computing
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Workshop on Emerging Trends in AI
Hosted by Columbia University
Co-sponsored by the Simons Institute
May 5–6, 2025
Pulitzer Hall, NYC
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Support Research on the Foundations of Computing
Upcoming Events
Workshops & Symposia
Program
Cryptography 10 Years Later: Obfuscation, Proof Systems, and Secure Computation
Program
Quantum Algorithms, Complexity, and Fault Tolerance
Program
Cryptography 10 Years Later: Obfuscation, Proof Systems, and Secure Computation
News
We’re delighted to share that Miller fellow and Simons Institute Quantum Pod postdoc Ewin Tang has been awarded the 2025 Maryam Mirzakhani New Frontiers Prize for “developing classical analogs of quantum algorithms for machine learning and linear algebra, and for advances in quantum machine learning on quantum data.”
This month, we held a joint workshop with SLMath on AI for Mathematics and Theoretical Computer Science. It was...
Greetings from the Simons Institute, where we are in the final week of a yearlong research program on Large...
Current Programs
Research Pods
Researchers
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+3
Peter Bartlett,
Keaton Ellis
and 4 more
Researchers
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+13
Nikolas Breuckmann,
Anthony Chen
and 14 more
Researchers
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+1
Shafi Goldwasser,
Venkatesan Guruswami
and 2 more
Future Programs
SimonsTV
Sasha Rush | Polylogues
Superintelligent Agents Pose Catastrophic Risks — Can Scientist AI Offer a Safer Path?
A Local Automaton for the 2D Toric Code
Approaches to Bounding the Exponent of Matrix Multiplication
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, and are reviewed on a rolling basis.
Learn more about how to participate in the life of the Institute.
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, and are reviewed on a rolling basis.
Learn more about how to participate in the life of the Institute.
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