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ture at MIT and author of Eyesight Alone: Clement Greenberg’s Modernism and the Bureaucratization of the Sens
use, because this method lacks transparency. While recognizing the impressive achievements in deep learning by colleagues such as Michael Jordan and Geoffrey Hinton, he feels uncomfortable with this kind of opacity. He set out to understand the theoretical limitations of deep-learning systems and points out that
ture at MIT and author of Eyesight Alone: Clement Greenberg’s Modernism and the Bureaucratization of the Sens
euroscience communities need to interact closely, something that is happening already. Some of today’s greatest exponents of machine learning—such as Geoffrey Hinton, Zoubin Ghahramani, and Demis Hassabis—have backgrounds in cognitive neuroscience, and their success has been at least in part due to attempts to mod
ture at MIT and author of Eyesight Alone: Clement Greenberg’s Modernism and the Bureaucratization of the Sens
use, because this method lacks transparency. While recognizing the impressive achievements in deep learning by colleagues such as Michael Jordan and Geoffrey Hinton, he feels uncomfortable with this kind of opacity. He set out to understand the theoretical limitations of deep-learning systems and points out that
ture at MIT and author of Eyesight Alone: Clement Greenberg’s Modernism and the Bureaucratization of the Sens
euroscience communities need to interact closely, something that is happening already. Some of today’s greatest exponents of machine learning—such as Geoffrey Hinton, Zoubin Ghahramani, and Demis Hassabis—have backgrounds in cognitive neuroscience, and their success has been at least in part due to attempts to mod
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