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In 1956, a group of computer scientists gathered at Dartmouth College to delve into a brand-new topic: artificial intelligence.
The summer rendezvous in the Connecticut River Valley town of Hanover, N.H., served as a springboard for discussions on ways that machines could simulate aspects of human cognition: How can computers use language? Can machines improve themselves? Is randomness a factor in the difference between creative thinking and unimaginative competent thinking?
The underlying assumption was that, in principle, learning and other aspects of human intelligence could be described precisely enough that a machine could be programmed to simulate it.
We don't have human-level intelligence. However, I would say driving the car 128 miles (in the DARPA Grand Challenge) shows a considerable advance.
Principal figures at the Dartmouth conference included such notables as Marvin Minsky, then of Harvard University; Claude Shannon of Bell Laboratories; Nathaniel Rochester......
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Title: Getting Machines To Think Like Us
Approximate Word Count: 746
Approximate Pages: 3 (250 words per double-spaced page)
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