Neural networks are the workhorse of many of the algorithms developed at DeepMind. For example, AlphaGo uses convolutional neural networks to evaluate board positions in the game of Go and DQN and Deep Reinforcement Learning algorithms use neural netwo…
From smartphone assistants to image recognition and translation, machine learning already helps us in our everyday lives. But it can also help us to tackle some of the worlds most challenging physical problems – such as energy consumption. Large-scale …
We founded DeepMind to make the world a better place by developing technologies that help address some of society’s toughest challenges.So were excited to announce our first medical research project with an NHS Trust.Well be working with Moorfields Eye…
Humans excel at solving a wide variety of challenging problems, from low-level motor control through to high-level cognitive tasks. Our goal at DeepMind is to create artificial agents that can achieve a similar level of performance and generality. Like…
We founded DeepMind to solve intelligence and use it to make the world a better place by developing technologies that help address some of society’s toughest challenges. It was clear to us that we should focus on healthcare because its an area where we…
