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Impact
How the honeybee could help protect species around the world
New insights into immunity to help protect the world’s flora
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Impact
AlphaFold transforms biology for millions around the world
Big data that leads to discoveries that benefit everyone
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Impact
Advancing discovery of better drugs and medicine
Researchers are designing more effective drugs than ever before
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Impact
Creating plastic-eating enzymes that could save us from pollution
Helping plastics become 100% recyclable
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Impact
AlphaFold unlocks one of the greatest puzzles in biology
Piecing together one of the largest molecular structures in human cells
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Impact
Accelerating the race against antibiotic resistance
Unlocking a decade of data in minutes to help beat antibiotic resistance
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Research
AlphaFold reveals the structure of the protein universe
Today, in partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the...
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Research
Putting the power of AlphaFold into the world’s hands
When we announced AlphaFold 2 last December, it was hailed as a solution to the 50-year old protein folding problem. Last week, we published the scientific paper and source code explaining how we...
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Company
The virtuous cycle of AI research
We recently caught up with Petar Veličković, a research scientist at DeepMind. Along with his co-authors, Petar is presenting his paper The CLRS Algorithmic Reasoning Benchmark at ICML 2022 in...
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Research
Perceiver AR: general-purpose, long-context autoregressive generation
We develop Perceiver AR, an autoregressive, modality-agnostic architecture which uses cross-attention to map long-range inputs to a small number of latents while also maintaining end-to-end causal...
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Research
DeepMind’s latest research at ICML 2022
Starting this weekend, the thirty-ninth International Conference on Machine Learning (ICML 2022) is meeting from 17-23 July, 2022 at the Baltimore Convention Center in Maryland, USA, and will be...
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Research
Intuitive physics learning in a deep-learning model inspired by developmental psychology
Despite significant effort, current AI systems pale in their understanding of intuitive physics, in comparison to even very young children. In the present work, we address this AI problem,...
