The target of this research initiative is the 'control problem' in A.I. safety: how to create superintelligent systems that could be relied upon to preserve what we value. Projects within its scope include the safe application of superintelligent question-answering systems ('oracles') and methods for designing 'corrigible' superintelligent agents--systems whose behaviors could be corrected at run-time.
AlphaGo is the first computer program to defeat a professional human Go player. In October 2015, it defeated Fan Hui, the reigning 3-times European champion, in an even match. In March 2016, it won 4-1 against Lee Sedol, one of the top professional players in the world. Go is a 2,500 year old game that has more possible positions than there are atoms in the universe. Consequently, it is 10^100 times more complex than chess.
DeepMind Health is a project to develop AI technologies for improving health care, beginning with the National Health Service in the UK. Its aim is to shift resources away from reaction towards better prevention in health care. It has acquired the app Hark to help clinicians with task management and is developing an app called Streams to assist in early detection of acute kidney injury. On July 5, 2016, it announced its partnership with Moorfields Eye Hospital, one of the world’s leading eye hospitals, to investigate how machine learning can help analyze digital eye scans, enabling earlier detection and intervention for patients with diabetic retinopathy and age-related macular degeneration.
DQN is a computer program that performed better than a professional human player on 49 diverse Atari 2600 games. It was able to adapt its behavior without human intervention. On February 26, 2015, the research team’s paper “Human-level control through deep reinforcement learning” was published in Nature.