Posts in category: Deepmind

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 Hospital NHS Foundation Trust, one of the worlds leading eye hospitals with a 200 year track record in clinical care, research and education.This collaboration came about when Pearse Keane, a consultant ophthalmologist at Moorfields, contacted DeepMind to explore how we could work together on two specific conditions that cause sight loss: diabetic retinopathy and age-related macular degeneration (AMD). Together, these affect more than 625,000 people in the UK and over 100 million people worldwide.Read More

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 a human, our agents learn for themselves to achieve successful strategies that lead to the greatest long-term rewards. This paradigm of learning by trial-and-error, solely from rewards or punishments, is known as reinforcement learning (RL). Also like a human, our agents construct and learn their own knowledge directly from raw inputs, such as vision, without any hand-engineered features or domain heuristics. This is achieved by deep learning of neural networks. At DeepMind we have pioneered the combination of these approaches – deep reinforcement learning – to create the first artificial agents to achieve human-level performance across many challenging domains.Our agents must continually make value judgements so as to select good actions over bad. This knowledge is represented by a Q-network that estimates the total reward that an agent can expect to receive after taking a particular action. Two years ago we introducedthe first widely successful algorithm for deep reinforcement learning. The key idea was to use deep neural networks to represent the Q-network, and to train this Q-network to predict total reward.Read More

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 believe we can make a real difference to peoples lives across the world.We’re starting in the UK, where the National Health Service is hugely important to our team. The NHS helped bring many of us into the world, and has looked after our loved ones when they’ve most needed help. We want to see the NHS thrive, and to ensure that its talented clinicians get the tools and support they need to continue providing world-class care.Frontline nurses, doctors and other healthcare professionals who spend their days treating patients know better than anyone what’s needed to provide outstanding care. We at DeepMind Health aim to support clinicians by providing the technical expertise needed to build and scale technologies that help them provide the best possible care to their patients.The FutureWhile projects like Hark and AKI detection are in their early stages, the problems they solve are fundamental to the NHS. The hope is that these tools can help shift more resources away from reaction and towards better prevention.Read More