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ng us. The fruit of the long history of Brockman’s profound engagement with the most important scientific minds who have been thinking about AI—from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram— Deep Thinking 1s an ideal introduction to the landscape of crucial issues AI presents. The c
e is the author of AB, co-author (with Alan Gershenfeld & Joel Cutcher-Gershenfeld) of Designing Reality, and founder of the global fab lab network. Alison Gopnik is a developmental psychologist at UC Berkeley; her books include The Philosophical Baby and, most recently, Zhe Gardener and the Carpenter: What the
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
ng us. The fruit of the long history of Brockman’s profound engagement with the most important scientific minds who have been thinking about AI—from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram— Deep Thinking 1s an ideal introduction to the landscape of crucial issues AI presents. The c
e is the author of AB, co-author (with Alan Gershenfeld & Joel Cutcher-Gershenfeld) of Designing Reality, and founder of the global fab lab network. Alison Gopnik is a developmental psychologist at UC Berkeley; her books include The Philosophical Baby and, most recently, Zhe Gardener and the Carpenter: What the
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
tic and non-utilitarian in its plurality of perspectives and diversity of understandings will undoubtedly be essential. 150 HOUSE_OVERSIGHT_016953 Alison Gopnik is an international leader in the field of children’s learning and development and was one of the founders of the field of “theory of mind.” She has
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
tic and non-utilitarian in its plurality of perspectives and diversity of understandings will undoubtedly be essential. 150 HOUSE_OVERSIGHT_016370 Alison Gopnik is an international leader in the field of children’s learning and development and was one of the founders of the field of “theory of mind.” She has
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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