Research
Publications
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Research
Our latest advances in robot dexterity
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
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Research
AlphaProteo generates novel proteins for biology and health research
New AI system designs proteins that successfully bind to target molecules, with potential for advancing drug design, disease understanding and more.
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Research
FermiNet: Quantum physics and chemistry from first principles
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Publications
Explore a selection of our recent research on some of the most complex and interesting challenges in AI.
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- Scalable Neural Network Kernels
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- Scalable Diffusion for Materials Generation
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- Sociotechnical Safety Evaluation of generative AI systems
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- DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
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- Learning Interactive Real-World Simulator
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- Step-Back Prompting Enables Reasoning via Abstraction in Large Language Models
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- Universal Graph Random Features
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- Repelling Random Walks
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- Assessing LLMs on Climate Information
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- An Impossibility Theorem in Game Dynamics
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- Large Language Models as Analogical Reasoners
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- Large Language Models Cannot Self-Correct Reasoning Yet
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- TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
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- 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
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- Theoretical and Practical Perspectives on what Influence Functions Do
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- Self-Predictive Universal AI
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- Tracr: Compiled Transformers as a Laboratory for Interpretability
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- Accurate proteome-wide missense variant effect prediction with AlphaMissense
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- Massively Scalable Inverse Reinforcement Learning for Route Optimization
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