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a physicist and director of MIT’s Center for Bits and Atoms. He 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 a
e and evaluate a vast selection of possible future moves. But the majority of predictions of AI, e.g., robotic maids, turned out to be illusory. When Deep Blue beat Garry Kasparov at chess in 1997, the most 20 HOUSE_OVERSIGHT_016823 powerful room-cleaning robot was a Roomba, which moved around vacuuming a
a physicist and director of MIT’s Center for Bits and Atoms. He is the author of FAB, co-author (with Alan Gershenfeld & Joel Cutcher-Gershenfeld) of Designing Reality, and founder of the global fab lab network. Discussions about artificial intelligence have been oddly ahistorical. They could better be described as
Machines were simply faster at doing brute-force calculations, had prodigious amounts of memory, and were not prone to errors. One article described Deep Blue’s victory not as that of a computer, which was just a dumb machine, but as the victory of hundreds of programmers over Kasparov, a single individual.
a physicist and director of MIT’s Center for Bits and Atoms. He 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 a
e and evaluate a vast selection of possible future moves. But the majority of predictions of AI, e.g., robotic maids, turned out to be illusory. When Deep Blue beat Garry Kasparov at chess in 1997, the most 20 HOUSE_OVERSIGHT_016240 powerful room-cleaning robot was a Roomba, which moved around vacuuming a
a physicist and director of MIT’s Center for Bits and Atoms. He is the author of FAB, co-author (with Alan Gershenfeld & Joel Cutcher-Gershenfeld) of Designing Reality, and founder of the global fab lab network. Discussions about artificial intelligence have been oddly ahistorical. They could better be described as
Machines were simply faster at doing brute-force calculations, had prodigious amounts of memory, and were not prone to errors. One article described Deep Blue’s victory not as that of a computer, which was just a dumb machine, but as the victory of hundreds of programmers over Kasparov, a single individual.
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