Filippo Moro - On the role of temporal hierarchy in Spiking Neural Networks
This talk was part of SNUFA 2024. See more at http://snufa.net/2024
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David Kappel - Spiking networks for efficient machine learning
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Jason Eshraghian - Neuromorphic LLMs
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1: Introduction to Neural Networks and Deep Learning; Training Deep NNs
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This is not the AI we were promised | The Royal Society
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Anna Levina - Timescales: flexible in biological neural systems, useful for computations
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Inside the Mind of Anthropic CEO Dario Amodei | The Circuit | Extended Interview
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Something is jamming GPS over Europe. Here's what we found
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Terence Tao on Grigori Perelman solving Poincare Conjecture | Lex Fridman Podcast Clips
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Ulaş İbrahim Ayyılmaz - Exc/inh neurons distinct roles for learning, temporal scaling, and WM
![Yann LeCun's $1B Bet Against LLMs [Part 1]](https://i.ytimg.com/vi/kYkIdXwW2AE/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDbV4izF3i-wxevCVIn7FJjoy1vlA)
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Yann LeCun's $1B Bet Against LLMs [Part 1]
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Quantum Consciousness and the Origin of Life
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Christian Machens - Computing with spikes - a geometric approach to spiking neural networks
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AlphaFold - The Most Useful Thing AI Has Ever Done
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Clara Mattei: capitalism is not natural - it’s enforced
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Physicist Brian Cox explains quantum physics in 22 minutes
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Terence Tao Explains The Math Behind AI
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Brain’s Hidden Learning Limits
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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
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The Passage of Time and the Meaning of Life | Sean Carroll
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