Google DeepMind
AI research lab owned by Google, responsible for AlphaGo and the Neural Turing Machine, among other influential deep learning systems.
3 milestones
WaveNet: A Generative Model for Raw Audio, by DeepMind
In September 2016, researchers at Google DeepMind published WaveNet, a deep generative model that synthesises raw audio waveforms sample-by-sample using dilated causal convolutions. In evaluations on English and Mandarin speech, WaveNet reduced the gap between human speech and machine synthesis by more than 50 per cent compared with the best previous text-to-speech systems.
DeepMind Publishes AlphaGo, a Deep Reinforcement Learning System That Defeated Professional Go Players
In January 2016, researchers at Google DeepMind published a paper in Nature describing AlphaGo, a system combining deep convolutional neural networks with Monte Carlo tree search and reinforcement learning that defeated the European Go champion Fan Hui 5–0, marking the first time a computer program had beaten a professional Go player at full-board Go.
Neural Turing Machine Introduced by Alex Graves, Greg Wayne, and Ivo Danihelka
In October 2014, Alex Graves, Greg Wayne, and Ivo Danihelka at Google DeepMind published 'Neural Turing Machines', a preprint proposing a neural network architecture augmented with an external memory matrix and differentiable read/write operations, enabling the system to learn algorithms such as sorting and copying from examples alone.