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Explore the intersection of mathematics and artificial intelligence in this 39-minute conference talk that examines two DARPA programs designed to strengthen connections between these fields through geometric and symbolic approaches. Learn about mathematical foundations for understanding the behavior and performance of modern AI systems, including Large Language Models and Diffusion models, while discovering how AI can advance pure mathematics through abstraction, decomposition, and formalization. Gain insights into the emerging convergence between AI and mathematics from a geometric machine learning perspective, presented as part of Harvard CMSA's lecture series.
