DeepMind Papers @ NIPS (Part 1)
Over the next three blogposts, we’re going to share with you brief descriptions of the papers we are presenting at the NIPS 2016 Conference in Barcelona.
Deep Learning for Detection of Diabetic Eye Disease
Diabetic retinopathy (DR) is the fastest growing cause of blindness, with
nearly 415 million diabetic patients at risk worldwide. If caught early,
the disease can be treated; if not, it can lead to irreversible blindness.
Unfortunately, medical specialists capable of detecting the disease are not
available in many parts of the world where diabetes is prevalent. We
believe that Machine Learning can help doctors identify patients in need,
particularly among underserved populations.
Working with the NHS to build lifesaving technology
Were very proud to announce a groundbreaking five year partnership with the Royal Free London NHS Foundation Trust.Doctors and nurses in the NHS do a phenomenal job caring for patients, but theyre being badly let down by technology. Pagers, fax machine…
Reinforcement learning with unsupervised auxiliary tasks
Our primary mission at DeepMind is to push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be taught how. Our reinforcement learning agents have achieved breakthroughs in Atari 2600 games and the…
DeepMind and Blizzard to release StarCraft II as an AI research environment
Today at BlizzCon 2016 in Anaheim, California, we announced our collaboration with Blizzard Entertainment to open up StarCraft II to AI and Machine Learning researchers around the world.
Google’s AI Creates its Own Inhuman Encryption
What happens when you tell two smart computers to talk to each other in
secret and task another AI with breaking that conversation? You get one of
the coolest experiments in cryptography I’ve seen in a while.