ML news

by Stanford AI Lab

How One Human Video Teaches Robots Dexterous Skills

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How AI Proves New Theorems in Causal Inference

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BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems

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How Robots Learn New Tasks by Combining Simple Skills

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Stanford AI’s ECCV 2020 Breakthroughs in 3D Vision

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Stanford AI Research at COLM 2026: Papers and Talks

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Stanford AI Lab Papers and Talks at ICML 2026

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R&B-EnCoRe: Self-Improving Pretraining of Embodied Reasoning Vision-Language-Action Models

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CoT Monitoring: Where Does a Hot Safety Problem Come From?

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M* Maximizes Multimodal Model Serving Efficiency with Higher Throughput and Flexibility

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Stanford AI Lab presents innovative research at CVPR 2026 in Denver, June 3-7.

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Stanford AI Lab Presents Research at ICLR 2026 in Rio de Janeiro, April 23-27.

Stanford AI Lab at ICLR 2026
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VAGEN: A framework training vision-language models to build world models via reinforcement learning.

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Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?

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