4
Shared Docs
4
Same-Page
4 / 4
Mentions
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
ing a place to begin. New Technologies=New Perceptions Before AI, there was Cybernetics—the idea of automatic, self-regulating control, laid out in Norbert Wiener’s foundational text of 1948. I can date my own serious exposure to it to 1966, when the composer John Cage invited me and four or five other young arts
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
agic or mysticism of an earlier age— as by their modern-sounding insights. I detect that same doubleness—the zig-zag origami folds of old and new—in Norbert Wiener’s classic The Human Use of Human Beings. First published in 1950 and revised in 1954, the book is in many ways extraordinarily prescient. Wiener, the M
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
ing a place to begin. New Technologies=New Perceptions Before AI, there was Cybernetics—the idea of automatic, self-regulating control, laid out in Norbert Wiener’s foundational text of 1948. I can date my own serious exposure to it to 1966, when the composer John Cage invited me and four or five other young arts
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
agic or mysticism of an earlier age— as by their modern-sounding insights. I detect that same doubleness—the zig-zag origami folds of old and new—in Norbert Wiener’s classic The Human Use of Human Beings. First published in 1950 and revised in 1954, the book is in many ways extraordinarily prescient. Wiener, the M
Entities connected to both Geoffrey Hinton and Norbert Wiener’s

Marc Rich
PERSON
Wilbur Ross
PERSONLeon Black
PERSON
Eric Trump
PERSON
Prince Andrew
PERSON
Marvin Minsky
PERSON
Julie K. Brown
PERSON
Berkeley
LOCATION
George W. Bush
PERSON
Harvey Weinstein
PERSON
Stephen Hawking
PERSON
William Shakespeare
PERSON
Claude Shannon
PERSON
Garry Kasparov
PERSON
Genetics
ORGANIZATION
Joseph Weizenbaum
PERSONDesigning Reality
ORGANIZATIONClement Greenberg
PERSON
David Hume
PERSON
Heinz von Foerster
PERSON