Liquid Time Constant Networks
Ramin Hasani (MIT) https://simons.berkeley.edu/talks/tbd... Synthesis of Models and Systems

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Cosyne 2022 Tutorial on Spiking Neural Networks - Part 1/2

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Panel Presentation: Liquid Neural Networks with Live Q&A
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Neural ODEs (NODEs) [Physics Informed Machine Learning]

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Surface Data vs. Deep Data

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There’s a Problem with Quantum Mechanics – with Jim Al-Khalili

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Dreamcoder: Bootstrapping Inductive Program Synthesis With Wake-Sleep Library Learning
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Yann LeCun's $1B Bet Against LLMs [Part 1]

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Dendrites: Why Biological Neurons Are Deep Neural Networks

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The Essential Main Ideas of Neural Networks

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Inventing liquid neural networks

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The spelled-out intro to language modeling: building makemore

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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

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Tutorial: Statistical Learning Theory and Neural Networks I

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How convolutional neural networks work, in depth

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RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

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Yann LeCun: World Models: Enabling the next AI revolution

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But what is a neural network? | Deep learning chapter 1

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Liquid Neural Networks

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MIT 6.S191: Convolutional Neural Networks

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