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Studies show that computer models called “neural networks” behave strikingly similar to actual brains when performing certain tasks, suggesting the two may learn in the same way.
As the role of computers in pure mathematics grows, researchers debate their reliability.
An infinitesimal advance in the traveling salesman problem breathes new life into the search for improved approximate solutions.
Computer scientists are finding that “thinking quantumly” can lead to new insights into long-standing problems in classical computer science, mathematics and cryptography, regardless of whether quantum computers ever materialize.