Research
Research

Innovations of AlphaGo

One of the great promises of AI is its potential to help us unearth new knowledge in complex domains. Weve already seen exciting glimpses of this, when our algorithms found ways to dramatically improve energy use in data centres – as well as of course …

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: DeepMinds AlphaGo took on and defeated one of the worlds top Go players, the legendary Lee Sedol. Even then, we had no idea how this moment would affect the 3,000 y…

Open sourcing Sonnet – a new library for constructing neural networks

Its now nearly a year since DeepMind made the decision to switch the entire research organisation to using TensorFlow (TF). Its proven to be a good choice – many of our models learn significantly faster, and the built-in features for distributed traini…

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 community to share, discuss and build upon new findings.F…

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 one. This is an important step towards more intelligent p…