Alex Graves (computer scientist)
Alex Graves is a research scientist at DeepMind. He did a BSc in Theoretical Physics at Edinburgh and obtained a PhD in AI under Jürgen Schmidhuber at IDSIA. He was also a postdoc at TU Munich and under Geoffrey Hinton at the University of Toronto.
At IDSIA, he trained long short-term memory neural networks by a novel method called connectionist temporal classification. This method outperformed traditional speech recognition models in certain applications. In 2009, his CTC-trained LSTM was the first recurrent neural network to win pattern recognition contests, winning several competitions in connected handwriting recognition.
This method has become very popular. Google uses CTC-trained LSTM for speech recognition on the smartphone.
Graves is also the creator of neural Turing machines and the closely related differentiable neural computer.
