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Alex Graves (computer scientist)

Scottish computer scientist From Wikipedia, the free encyclopedia

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Alex Graves is a computer scientist.[1]

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Education

Graves earned his Bachelor of Science degree in Theoretical Physics from the University of Edinburgh[when?] and a PhD in artificial intelligence from the Technical University of Munich supervised by Jürgen Schmidhuber at the Dalle Molle Institute for Artificial Intelligence Research.[2][3]

Career and research

After his PhD, Graves was postdoc working with Schmidhuber at the Technical University of Munich and Geoffrey Hinton[4] at the University of Toronto.

At the Dalle Molle Institute for Artificial Intelligence Research, Graves trained long short-term memory (LSTM) neural networks by a novel method called connectionist temporal classification (CTC).[5] This method outperformed traditional speech recognition models in certain applications.[6] In 2009, his CTC-trained LSTM was the first recurrent neural network (RNN) to win pattern recognition contests, winning several competitions in connected handwriting recognition.[7][8] Google uses CTC-trained LSTM for speech recognition on the smartphone.[9][10]

Graves is also the creator of neural Turing machines[11] and the closely related differentiable neural computer.[12][13] In 2023, he wrote the paper Bayesian Flow Networks.[14]

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References

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