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ng presentations, conversations, and contributors to the book include: George Church, George Dyson, Peter Galison, Neil Gershenfeld, Caroline Jones, David Kaiser, Seth Lloyd, Sandy Pentland, Steven Pinker, Hans Ulrich Obrist, Stephen Wolfram. 7:45 - 10:00pm - Dinner for 60 at Benedetto (Private Dining Room)
iety Dinner." The impetus was my desire to learn about new developments in self- improving, unsupervised machine learning. Present at the dinner were Demis Hassabis, David Deutsch, Ian McEwan, Brian Eno, Terry Gilliam, and Hans Ulrich Obrist. The dinner led to the first meeting in Washington, CT, in September 2
, 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
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 model brainlike behavior in their algorith
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
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 model brainlike behavior in their algorith
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