解决智能问题，促进科学进步    构建智慧共同体,造福人类

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Life at DeepMind
The pursuit of AI education - past, present, and future
November 8, 2022
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Applied
Digital transformation with Google Cloud
October 20, 2022
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Research
Measuring perception in AI models
October 12, 2022
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Technical blog
How undesired goals can arise with correct rewards
October 7, 2022
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Research
Discovering novel algorithms with AlphaTensor
October 5, 2022
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Ethics and Society
Supporting the next generation of AI leaders
September 26, 2022

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Particle-Based Score Estimation for Jointly Learning Transition and Observation Models in Autonomous Driving
Angad Singh *, Omar Makhlouf *, Maximiliam Igl *, Joao Messias *, Arnaud Doucet, Shimon Whiteson *
CoRL
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Unbiased and Efficient Sampling of Dependency Trees
Miloš Stanojević
EMNLP
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Large-Scale Retrieval for Reinforcement Learning
Peter Humphreys, Arthur Guez, Olivier Tieleman, Laurent Sifre, Theophane Weber, Timothy Lillicrap
NeurIPS
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Score-Based Diffusion meets Annealed Importance Sampling
Arnaud Doucet, Will Grathwohl, Alex Matthews, Heiko Strathmann
NeurIPS
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Learning to Navigate Wikipedia by Taking Random Walks
Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
NeurIPS
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Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
Jessica Schrouff *, Natalie Harris *, Oluwasanmi Koyejo *, Ibrahim Alabdulmohsin *, Eva Schnider *, Krista Opsahl-Ong *, Alex Brown *, Subhrajit Roy *, Diana Mincu *, Christina Chen *, Awa Dieng *, Yuan Liu *, Vivek Natarajan *, Alan Karthikesalingam *, Katherine Heller *, Silvia Chiappa, Alexander D'Amour *
NeurIPS
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Many disciplines, one common goal

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Guiding the safe development and use of AI

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