Epstein Secrets

rg’s Modernism and the Bureaucratization of the Senses; Machine in the Studio: Constructing the Postwar American Artist; and The Global Work of Art. David Kaiser is Germeshausen Professor of the History of Science and professor of physics at MIT, and head of its Program in Science, Technology & Society. He is

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

, prompting him to ask, “Do we need a new set of guiding metaphors?” 108 HOUSE_OVERSIGHT_016911 “INFORMATION” FOR WIENER, FOR SHANNON, AND FOR US David Kaiser David Kaiser is Germeshausen Professor of the History of Science and professor of Physics at MIT, and head of its Program in Science, Technology & Soc

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

rg’s Modernism and the Bureaucratization of the Senses; Machine in the Studio: Constructing the Postwar American Artist; and The Global Work of Art. David Kaiser is Germeshausen Professor of the History of Science and professor of physics at MIT, and head of its Program in Science, Technology & Society. He is

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

ines to seem as smart as a mosquito, forever descending the cosmic gradients to an ultimate goal, whatever that may be. 107 HOUSE_OVERSIGHT_016327 David Kaiser is a physicist atypically interested in the intersection of his science with politics and culture, about which he has written widely. In the first m

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