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Explore the profound connection between physics and mathematics, tracing its history from Newton to Einstein and examining its potential for unifying our understanding of the universe's fundamental laws.
Renowned physicists discuss the interplay between physics and mathematics, exploring their potential unification and the quest for fundamental laws of the universe.
Explore advanced mathematical concepts in uniform rectifiability and perimeter minimization with expert Tatiana Toro in this in-depth lecture from the Women and Mathematics series.
Explore viscosity solutions for variational problems with Daniela De Silva. Learn about Laplace's equation, Harnack inequality, and discrete equations in this advanced mathematics lecture.
Explore the fascinating world of fluctuations, white noise, and statistical physics with insights on collision operators and the Central Limit Theorem.
Explore recent advancements in invariant theory, covering graph isomorphism, matrix invariants, and tensor factors. Gain insights into succinct encoding, upper bounds, and degree bounds in this mathematical field.
Explore ergodicity, Boltzmann's ideas, and recent developments in dynamical systems with mathematician Amie Wilkinson in this engaging seminar on the concept of "the general case".
Explore proof complexity, lower bounds, and open problems in computer science and discrete mathematics with insights on proof systems and their limitations.
Explore 2D Riemannian geometry, focusing on disks and spheres. Learn about geodesics, sweep-outs, and curve shortening through examples and problem-solving.
Explore singularities in Teichmueller harmonic map flow, covering gradient flow, conformity, symmetries, and rescaled flow behavior in this advanced mathematical analysis.
Explore neural models' impact on speech and language processing, examining successes, challenges, and key architectures in parsing, word embeddings, and transformers.
Explore reproducibility, reusability, and robustness in reinforcement learning. Delve into policy gradient methods, hyperparameter interplay, fair comparisons, and real-world applications of RL algorithms.
Explore deep learning's scientific foundations with Yann LeCun, examining its biological inspirations, historical development, and theoretical underpinnings in pattern recognition and neural networks.
Exploration of concerning trends in machine learning research, examining the balance between empirical and theoretical approaches, and discussing potential solutions for improving scientific rigor.
Explore deep learning's scientific foundations and the "Alchemy" debate, examining optimization, overfitting, and the interpreter problem in neural networks.
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