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Restoring and attributing ancient texts using deep neural networks

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Our teams research and build safe AI systems. We're committed to solving intelligence, to advance science and benefit humanity.
Hannah Fry recording an interview for DeepMind: The Podcast
DeepMind: The Podcast
What is artificial intelligence? Is it safe? And what’s it used for?
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Putting the power of AlphaFold into the world’s hands
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Explore AlphaFold Protein Structure Database
3D structure of a protein built with AlphaFold

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Representation of the interior of a tokamak
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Predicting the past with Ithaca
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Accelerating fusion science through learned plasma control
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Representation of the interior of a tokamak
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MuZero’s first step from research into the real world
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Competitive programming with AlphaCode
February 2, 2022
Representation of the interior of a tokamak
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DeepMind: The Podcast returns for Season 2
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Representation of the interior of a tokamak
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Simulating matter on the quantum scale with AI
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Latest research

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Fair Normalizing Flows
Mislav Balunovic *, Anian Ruoss, Martin Vechev *
ICLR
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Publication
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models
Spyridon Mouselinos *, Henryk Michalewski *, Mateusz Malinowski
ICLR
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Paper
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An empirical analysis of compute-optimal large language model training
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Laurent Sifre
arXiv
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Paper
Publication
Offline Distillation for Robot Lifelong Learning with Imbalanced Experience
Wenxuan Zhou *, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess
arXiv
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Paper
Publication
From eye-blinks to state construction: diagnostic benchmarks for online representation learning
Banafsheh Rafiee *, Zaheer Abbas, Sina Ghiassian *, Raksha Kumaraswamy *, Elliot Ludvig *, Richard Sutton, Adam White
Adaptive Behavior
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Continuous Neural Algorithmic Planners
Yu He *, Petar Veličković, Pietro Liò *, Andreea Deac *
ICLR
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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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