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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- The Vizier Gaussian Process Bandit Algorithm
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- Achieving Human Level Competitive Robot Table Tennis
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- Pre-trained Gaussian processes for Bayesian optimization
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- Levels of AGI for Operationalizing Progress on the Path to AGI
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- Language models, like humans, show content effects on reasoning tasks
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- Neural Climate Data Compression
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- Bayes' Rays: uncertainty quantification for neural radiance fields
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- Neural Fields as Distributions: Signal Processing Beyond Euclidean Space
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- Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities
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- Don't trust your eyes: on the (un)reliability of feature visualizations
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- An Introduction to Universal Artificial Intelligence
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- Super-Exponential Regret for UCT, AlphaGo and Variants
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- Adaptive Hashing: Faster Hash Functions Perhaps with Fewer Collisions
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- Learning 3D Particle-based Simulators from RGB-D Videos
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- Kalman Filter for Online Classification of Non-Stationary Data
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- Language Modeling Is Compression
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- CORRELATED NOISE PROVABLY BEATS INDEPENDENT NOISE FOR DIFFERENTIALLY PRIVATE LEARNING
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- Privacy Amplification by Sampling for the Matrix Mechanism.
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