DeepMind Blog
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In conversation with AI: building better language models
Our new paper, In conversation with AI: aligning language models with human values, explores a different approach, asking what successful...
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On the Expressivity of Markov Reward
Our main results prove that while reward can express many tasks, there exist instances of each task type that no Markov reward function can...
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Advancing conservation with AI-based facial recognition of turtles
We came across Zindi – a dedicated partner with complementary goals – who are the largest community of African data scientists and host...
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Discovering when an agent is present in a system
We want to build safe, aligned artificial general intelligence (AGI) systems that pursue the intended goals of its designers. Causal influence...
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Realising scientists are the real superheroes
Meet Edgar Duéñez-Guzmán, a research engineer on our Multi-Agent Research team who’s drawing on knowledge of game theory, computer science, and...
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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...
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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...
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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...