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Explore the geometric structures of 4d N=2 quantum field theories through their moduli spaces, focusing on Coulomb branch geometry and algebraic integrable systems.
Discover a revolutionary approach to quantum field theory computations using tropicalization, enabling polynomial-time algorithms for previously intractable perturbative calculations.
Explore special Kähler geometry's role in supersymmetric gauge theories and mirror symmetry, focusing on hyperkähler manifolds with algebraic integrable systems and metric collapse.
Explore geometries of 3-forms on symplectic 6-manifolds and their applications to finding Lagrangian foliations in degenerate Calabi-Yau 3-folds through advanced differential geometry.
Explore Kolmogorov-Arnold Networks theory, sparsity masks connecting deep nets to KANs, and symbolic regression applications with multimodal language models in this mathematical talk.
Explore how Kolmogorov-Arnold geometry spontaneously emerges in standard neural networks through training, revealing distinctive geometric patterns in shallow MLPs.
Explore the geometric foundations of machine learning and discover how AI can advance pure mathematics through abstraction, decomposition, and formalization insights.
Explore how Ricci flow from differential geometry can serve as a challenging benchmark for testing artificial intelligence capabilities in advanced mathematics.
Discover how Gauss, a new AI agent, assists mathematicians in formal proof writing, featuring a breakthrough Lean proof of the Prime Number Theorem for non-coding researchers.
Explore FrontierMath benchmark design and AI's mathematical problem-solving trajectory, plus speculation on perfectly efficient mathematical intelligence capabilities.
Explore ongoing experiments that may reshape research mathematics within the next decade through insights from cutting-edge mathematical research and emerging methodologies.
Explore topological analysis methods for spiking neural networks, examining brain organoid connectivity patterns and network resilience through manifold hypothesis applications.
Discover cutting-edge AI concepts including self-supervised learning, JEPA architecture, and world models from renowned expert Yann LeCun in this Harvard lecture.
Explore mathematical structures through geometric perspectives and discover how spatial thinking transforms abstract mathematical concepts into intuitive frameworks.
Explore the interplay between symmetries and moduli spaces in string compactifications, moving beyond Calabi-Yau to G_2 and Spin(7) cases with worldsheet anomalies and non-invertible symmetries.
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