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 with our program AlphaGo.Read More
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 year old game of Go and the growing global community of devotees to this beautiful board game.Read More
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 training have hugely simplified our code. Along the way, we found that the flexibility and adaptiveness of TF lends itself to building higher level frameworks for specific purposes, and weve written one for quickly building neural network modules with TF. We are actively developing this codebase, but what we have so far fits our research needs well, and were excited to announce that today we are open sourcing it. We call this framework Sonnet.Read More