Analytic properties of automorphic functions as seen from algebraic geometry
Date: 10-21-2025 Dennis Gaitsgory
Analytic properties of automorphic functions as seen from algebraic geometry
Math Science Lectures in Honor of Raoul Bott | Dennis Gaitsgory, MPIM | Function-theoretic implications of geometric Langlands Lecture 2: Tuesday, October 21, 2025 Analytic properties of automorphic functions as seen from algebraic geometry
From geometric to classical Langlands
Date: 10-21-2025 Dennis Gaitsgory
From geometric to classical Langlands
Math Science Lectures in Honor of Raoul Bott | Dennis Gaitsgory, MPIM | Function-theoretic implications of geometric Langlands Lecture 1: Monday, October 20, 2025 From geometric to classical Langlands
Millennium Prize Problems Lecture | Sourav Chatterjee, Stanford University | Yang-Mills and the foundations of quantum field theory
Date: 10-15-2025 Sourav Chatterjee
Millennium Prize Problems Lecture | Sourav Chatterjee, Stanford University | Yang-Mills and the foundations of quantum field theory
Millennium Prize Problems Lecture 10/15/2025 Sourav Chatterjee, Stanford University Yang-Mills and the foundations of quantum field theory
Millennium Prize Problems Lecture | Michael Freedman, Harvard CMSA and Logical Intelligence | The Poincaré Conjecture and Mathematical Discovery 
Date: 9-17-2025 Michael Freedman
Millennium Prize Problems Lecture | Michael Freedman, Harvard CMSA and Logical Intelligence | The Poincaré Conjecture and Mathematical Discovery 
Millennium Prize Problems Lecture 9/17/2025 Speaker: Michael Freedman, Harvard CMSA and Logical Intelligence Title: The Poincaré Conjecture and Mathematical Discovery
Yann LeCun | Self-Supervised Learning, JEPA, World Models, and the future of AI
Date: 9-16-2025 Yann LeCun
Yann LeCun | Self-Supervised Learning, JEPA, World Models, and the future of AI
Geometry of Machine Learning Special Lecture 9/16/2025 Speaker: Yann LeCun, NYU & META Title: Self-Supervised Learning, JEPA, World Models, and the future of AI
Fifth Annual Yip Lecture: Scott Aaronson (UT Austin): How Much Math Is Knowable?
Date: 4-17-2025 Scott Aronson
Fifth Annual Yip Lecture: Scott Aaronson (UT Austin): How Much Math Is Knowable?
Speaker: Scott Aaronson, Department of Computer Science, University of Texas, Austin Title: How Much Math Is Knowable? Abstract: Theoretical computer science has over the years sought more and more refined answers to the question of which mathematical truths are knowable by finite beings like ourselves, bounded in time and space and subject to physical laws.  I’ll tell a story that starts with Gödel’s Incompleteness Theorem and Turing’s discovery of uncomputability.  I’ll then introduce the spec...