Machine learning using magnetic stochastic synapses

The impressive performance of artificial neural networks has come at the cost of high energy usage and CO$_2$ emissions. Unconventional computing architectures, with magnetic systems as a candidate, have potential as alternative energy-efficient hardware, but, still face challenges, such as stochast...

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Hauptverfasser:	Ellis, Matthew O. A, Welbourne, Alex, Kyle, Stephan J, Fry, Paul W, Allwood, Dan A, Hayward, Thomas J, Vasilaki, Eleni
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Emerging Technologies Computer Science - Learning Computer Science - Neural and Evolutionary Computing Physics - Mesoscale and Nanoscale Physics
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