Stéphane Mallat - Learning Physics with Deep Neural Networks (October 17, 2018)
More details: https://www.simonsfoundation.org/even...
▶︎
C. Vafa, M. Freedman, C. Kane, Jim Simons - Applications of Chern-Simons Theory (April 25, 2018)
![Yann LeCun's $1B Bet Against LLMs [Part 1]](https://i.ytimg.com/vi/kYkIdXwW2AE/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDbV4izF3i-wxevCVIn7FJjoy1vlA)
▶︎
Yann LeCun's $1B Bet Against LLMs [Part 1]
▶︎
Yann LeCun: World Models: Enabling the next AI revolution
▶︎
But what is a neural network? | Deep learning chapter 1
▶︎
How AI Cracked the Protein Folding Code and Won a Nobel Prize
▶︎
The Hardest Questions in Physics | World Science Festival
▶︎
You Know This Song (but the Orchestra Doesn’t) | Jacob Collier & VSO School of Music Orchestra | TED
▶︎
Politics Chat, June 25, 2026
▶︎
Stéphane MALLAT - Mathematical mysteries of deep neural networks
▶︎
AI Is Creating A Rare Opportunity For Investors. How Jim Roppel Is Playing It. | Investing With IBD
▶︎
Brian Cox: The quantum roots of reality | Full Interview
▶︎
Trumps Pool-Fiasko | Peinliche Videos von Politikern zur WM | extra 3 vom 25.06.2026 · Teil 2/2
▶︎
Türkei – USA Highlights | Gruppe D, FIFA WM 2026 | sportstudio
▶︎
Can space and time emerge from simple rules? Stephen Wolfram thinks so. | World Science Festival
▶︎
The Passage of Time and the Meaning of Life | Sean Carroll
▶︎
Nobel Prize lecture: Demis Hassabis, Nobel Prize in Chemistry 2024
▶︎
1: Introduction to Neural Networks and Deep Learning; Training Deep NNs
▶︎
Inside Black Holes | Leonard Susskind
▶︎
Why raising your vibration increases serendipity. | Joanna McEwen | TEDxUniversityofBrighton
▶︎