
Delve into vertex algebras, exploring Heisenberg, Kac-Moody, and Virasoro structures while understanding their connections to affine W-algebras and Zhu algebra fundamentals.

Delve into advanced representation theory, exploring Whittaker reduction, finite W-algebras, and their connection to Lie algebras through geometric and algebraic perspectives.

Delve into advanced mathematical concepts of Slodowy slices, nilpotent orbits, and finite W-algebras, exploring their construction, Poisson structures, and quantization methods in semisimple Lie algebras.

Delve into geometric Satake theory and explore how Rep(G^vee) actions on BunG sheaves integrate into global Hecke modifications, with applications in Betti, de Rham, and étale settings.

Delve into advanced mathematical concepts of local systems and Galois representations, exploring construction methods and parameter spaces in Betti, deRham, and l-adic settings.

Delve into advanced algebraic geometry as Matthew Emerton explores G-L trace formula for Bun_G, providing a detailed proof of Conjecture 8 from Lurie's earlier lectures.

Explore failure cases of popular AI algorithms through live demos, from linear regression to deep learning. Learn to identify and address silent failures in black-box AI systems.

Explore p-form symmetries in functorial quantum field theory, focusing on implementing finite group global and gauged symmetries in TQFT using cohomology-decorated bordisms.

Explore an effective theory of real computation, addressing inadequacies in current approaches and discussing applications in scientific and engineering disciplines.

Explore quaternionic foundations of quantum mechanics and visualize spin 1/2 behavior. Gain insights into Dirac equation, spinors, and elastic continuum model using interactive simulations and quaternion representations.

Explore interdisciplinary connections between Riemann geometry, topology, and physics in this doctoral-level lecture by Renzo Ricca at Beijing Institute of Technology.

Explore type-driven abstractions for probabilistic modelling, covering discrete probability and quasi-Borel spaces. Gain hands-on experience through accompanying exercises for self-study.

Explore advanced concepts in probabilistic programming, focusing on practical applications and techniques for scientific computing and data analysis.

Explore advanced network visualization techniques and data science principles for creating effective visual representations of complex networked systems and relationships.

Dive into advanced data science concepts through comprehensive statistical analysis, probability theory, and practical applications in this university-level lecture.

Explore mathematical modeling approaches to optimize radioimmunotherapy treatments for blood cancers, focusing on tumor immune dynamics and therapeutic effectiveness.

Explore the fascinating geometry of decision-making in animal behavior with Prof. Iain Couzin's insightful lecture on collective intelligence and movement.

Explore the mathematical foundations of deep neural networks, covering functional analysis, harmonic analysis, complex analysis, approximation theory, and more with Professor Helmut Bölcskei.

Explore elliptic curves in two-loop Feynman diagrams, examining their emergence in cubic hypersurfaces and potential connections to elliptic dilogarithms in quantum field theory amplitudes.

Explore extraordinary waves, from historical solitary waves to modern solitons, and their applications in water, rogue waves, photonics, and cellular automata.

Explore the origins and evolution of twistor theory, from its quantum field theory roots to applications in curved space-times, with Professor Roger Penrose.