Build with our next generation AI systems
Our most intelligent AI models
Lightweight, state-of-the-art open models
Image, music and video generation models
AI prototypes and experiments
Our latest AI breakthroughs and updates from the lab
Explore some of the biggest AI innovations
Read a selection of our recent papers
Discover the latest updates from our lab
Unlocking a new era of discovery with AI
Our mission is to build AI responsibly to benefit humanity
Discover our latest AI breakthroughs, projects, and updates
We’re looking for people who want to make a real, positive impact on the world
For over 20 years, Google has worked to make AI helpful for everyone
We work to make AI more accessible to the next generation
Ensuring AI safety through proactive security, even against evolving threats
Uncover the extraordinary ways AI is transforming our world
Research
Innovations of AlphaGo
One of the great promises of AI is its potential to help us unearth new knowledge in complex domains. We’ve already seen exciting glimpses of this, when our algorithms found ways to dramatically...
Exploring the mysteries of Go with AlphaGo and China's top players
Just over a year ago, we saw a major milestone in the field of artificial intelligence: DeepMind’s AlphaGo took on and defeated one of the world’s top Go players, the legendary Lee Sedol. Even...
Open sourcing Sonnet - a new library for constructing neural networks
It’s now nearly a year since DeepMind made the decision to switch the entire research organisation to using TensorFlow (TF). It’s proven to be a good choice - many of our models learn...
Distill: Communicating the science of machine learning
Like every field of science, the importance of clear communication in machine learning research cannot be over-emphasised: it helps to drive forward the state-of-the art by allowing the research...
Enabling Continual Learning in Neural Networks
Computer programs that learn to perform tasks also typically forget them very quickly. We show that the learning rule can be modified so that a program can remember old tasks when learning a new...
Understanding Agent Cooperation
We employ deep multi-agent reinforcement learning to model the emergence of cooperation. The new notion of sequential social dilemmas allows us to model how rational agents interact, and arrive at...
DeepMind Papers @ NIPS (Part 3)
DeepMind Papers @ NIPS (Part 2)
The second blog post in this series, sharing brief descriptions of the papers we are presenting at NIPS 2016 Conference in Barcelona.
Open-sourcing DeepMind Lab
DeepMind's scientific mission is to push the boundaries of AI, developing systems that can learn to solve any complex problem without needing to be taught how.
DeepMind Papers @ NIPS (Part 1)
Over the next three blogposts, we're going to share with you brief descriptions of the papers we are presenting at the NIPS 2016 Conference in Barcelona.
Reinforcement learning with unsupervised auxiliary tasks
Our primary mission at DeepMind is to push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be taught how. Our reinforcement learning agents...
DeepMind and Blizzard to release StarCraft II as an AI research environment
Today at BlizzCon 2016 in Anaheim, California, we announced our collaboration with Blizzard Entertainment to open up StarCraft II to AI and Machine Learning researchers around the world.