Evolution of circuits for machine learning

Cyrus F. Hirjibehedin ()

Nature, 2020, vol. 577, issue 7790, 320-321

Abstract: The fundamental machine-learning task of classification can be difficult to achieve directly in ordinary computing hardware. Unconventional silicon-based electrical circuits can be evolved to accomplish this task.

Keywords: Engineering; Nanoscience and technology; Applied physics (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1038/d41586-020-00002-x

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