StarCraft, considered to be one of the most challenging Real-Time Strategy games and one of the longest-played esports of all time, has emerged by consensus as a “grand challenge” for AI research. Here, we introduce our StarCraft II program AlphaStar, the first Artificial Intelligence to defeat a top professional player.
Computer programs that learn to perform tasks also typically forget them very quickly. In our latest paper, published in PNAS, we show that the learning rule can be modified so that a program can remember old tasks when learning a new one. In time, this approach could help us build problem-solving systems that can learn more flexibly and efficiently.
Read more
Imagine a service that could give mathematical assurance about what is happening with each individual piece of personal data, without possibility of falsification or omission. Imagine the ability for the inner workings of that system to be checked in real-time, to ensure that data is only being used as it should be. Imagine that the infrastructure powering this was freely available as open source, so any organisation in the world could implement their own version if they wanted to. The working title for this project is “Verifiable Data Audit”, and we’re really excited to share more details about what we’re planning to build!
Read more
In November we announced a groundbreaking five year partnership with the Royal Free London to deploy and expand on Streams, our secure clinical app that aims to improve care by getting the right information to the right clinician at the right time. The first version of Streams has now been deployed at the Royal Free and we’re delighted that the early feedback from nurses, doctors and patients has so far been really positive. Some of the nurses using Streams at the hospital estimate that the app is saving them up to two hours per day, giving them more time to spend with patients in need.
Read more
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 more or less cooperative behaviours depending on the nature of the environment and the agents’ cognitive capacity.
Read more
Our co-founder and CEO, Demis Hassabis, explains DeepMind's collaborations with academia - including a new machine learning training module at UCL - and why sharing talent, expertise and breakthroughs can help us all make better progress in the development of artificial intelligence and its application for positive social benefit.
Read more
Our founders take a look back at an exciting year, including the publication of two Nature papers, the success of AlphaGo, and the first signs of positive real-world impact in our work with Google's data centre team.
Read more
We’re really excited to announce that we’ve agreed a five year partnership with Imperial College Healthcare NHS Trust, helping them make the most of the opportunity for mobile clinical applications to improve care. This is now our second NHS partnership for clinical apps, following a similar partnership we announced last month with the Royal Free London NHS Foundation Trust.
Read more
The third and final blog post in this series, sharing brief descriptions of the papers we are presenting at NIPS 2016 Conference in Barcelona.
Read more
The second blog post in this series, sharing brief descriptions of the papers we are presenting at NIPS 2016 Conference in Barcelona.
Read more
Sharing our flagship research platform, DeepMind Lab – a fully 3D game-like platform – with the research community.
Read more
