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Talk: Reality Checks (Kyunghyun Cho)
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Lecture 4: Transformers and Large Pretrained Models (Sweta Agrawal)
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1: Introduction to Neural Networks and Deep Learning; Training Deep NNs
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How We Scaled Kimi K2.5 | Zhilin Yang's full GTC 2026 Keynote
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Physics-Informed Machine Learning – Lecture 1 | Why Physics + AI?
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Lecture 1: Learning with Linear Models (Mário Figueiredo)
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Talk: The Search for Foundations in AI Interpretability (Maxime Peyrard)
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Lec 01. Introduction to Deep Learning
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MIT Introduction to Deep Learning | 6.S191
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Talk: Rethinking Test-Time Scaling Laws (Beidi Chen)
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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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Why is This the Scariest Chart in Electrical Engineering?
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The 17-Year-Old Student Who Solved a Major Math Mystery
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Yann LeCun's $1B Bet Against LLMs [Part 1]
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The Uncomfortable Truth About AI “Reasoning” | World Science Festival
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Why leave Berkeley for Tsinghua? A Nobel laureate explains
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Talk: Changing Space of Optimization (Sara Hooker)
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He Risked Everything To Warn You: No One Is Ready For What's Coming, And The AI Companies Know It!
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Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
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