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Traffic prediction with advanced Graph Neural Networks
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Using AI to predict retinal disease progression
Vision loss among the elderly is a major healthcare issue: about one in three people have some vision-reducing disease...
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Specification gaming: the flip side of AI ingenuity
Specification gaming is a behaviour that satisfies the literal specification of an objective without achieving the...
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Towards understanding glasses with graph neural networks
Under a microscope, a pane of window glass doesn’t look like a collection of orderly molecules, as a crystal would, but...
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Agent57: Outperforming the Human Atari Benchmark
The Atari57 suite of games is a long-standing benchmark to gauge agent performance across a wide range of tasks. We’ve...
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A new model and dataset for long-range memory
This blog introduces a new long-range memory model, the Compressive Transformer, alongside a new benchmark for...
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Dopamine and temporal difference learning: A fruitful relationship between neuroscience and AI
A recent development in computer science may provide a deep, parsimonious explanation for several previously unexplained...
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Applying for technical roles
We answer the Women in Machine Learning community's questions about applying for a job in industry.
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AlphaFold: Using AI for scientific discovery
Our Nature paper describes AlphaFold, a system that generates 3D models of proteins that are far more accurate than any...
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Using WaveNet technology to reunite speech-impaired users with their original voices
We demonstrate an early proof of concept of how text-to-speech technologies can synthesise a high-quality, natural...
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Learning human objectives by evaluating hypothetical behaviours
We present a new method for training reinforcement learning agents from human feedback in the presence of unknown unsafe...
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Entering our tenth year at DeepMind
We’ve come a long way in building the organisation we need to achieve our long-term mission.
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Strengthening the AI community
AI requires people with different experiences, knowledge and backgrounds, which is why we started the DeepMind...
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Advanced machine learning helps Play Store users discover personalised apps
In collaboration with Google Play, our team that leads on collaborations with Google has driven significant improvements...
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AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning
AlphaStar is the first AI to reach the top league of a widely popular esport without any game restrictions.
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Causal Bayesian Networks: A flexible tool to enable fairer machine learning
Decisions based on machine learning (ML) are potentially advantageous over human decisions, but the data used to train...
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DeepMind’s health team joins Google Health
Here’s what the future looks like for the team.
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Podcasts
Episode 8: Demis Hassabis - The interview
In this special extended episode, Hannah meets Demis Hassabis, the CEO and co-founder of DeepMind.
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Podcasts
Episode 7: Towards the future
AI researchers around the world are trying to create a general purpose learning system that can learn to solve a broad...
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Replay in biological and artificial neural networks
Our waking and sleeping lives are punctuated by fragments of recalled memories: a sudden connection in the shower...
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Podcasts
Episode 6: AI for everyone
Hannah investigates the more human side of the technology, some ethical issues around how it is developed and used, and...
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