Alex Gravesis this you? claim profile
Alex Graves is a DeepMind research scientist. He received a BSc in Theoretical Physics from Edinburgh and an AI PhD from IDSIA under Jürgen Schmidhuber. He was also a postdoctoral graduate at TU Munich and at the University of Toronto under Geoffrey Hinton.
At IDSIA, he trained long-term neural memory networks by a new method called connectionist time classification. In certain applications, this method outperformed traditional voice recognition models. In 2009, his CTC-trained LSTM was the first repeat neural network to win pattern recognition contests, winning a number of handwriting awards.
This is a very popular method. Google uses CTC-trained LSTM for smartphone voice recognition.Graves also designs the neural Turing machines and the related neural computer.