Peter Bloem: Kolmogorov complexity: approximation, separation and identification
27:31
Yuri Kalnishkan: Predictive Complexity Measures
21:36
Amir Joudaki: Entropy Maximization with Depth: A Variational Principle for Random Neural Networks
1:01
What is Space & Quantum Entanglement - Brain Cox Explains #space #bigbang #universe #facts
15:48
Scott Evans: The Entropy Economy and the Kolmogorov Learning Cycle
48:16
Jean-Louis Dessalles: Some current limits of Machine Learning and beyond, in the light of AIT
29:54
Audition de Yann LeCun, Professeur à NYU et Scientifique en chef sur l'IA à Meta.
25:23
Morgane Austern: On the Gaussianity of Kolmogorov Complexity of Mixing Sequences
48:41