NIST · ИТ · 7f4b3c5b44d23c4be859
Fan-out and Fan-in properties of superconducting neuromorphic circuits
Neuromorphic computing has the potential to further the success of software-based artificial neural networks (ANNs) by designing hardware from a different perspective. Current research in neuromorphic hardware targets dramatic improvements to ANN
NIST · ИТОфициальный источник · 2020-12-04
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"title_en": "Fan-out and Fan-in properties of superconducting neuromorphic circuits",
"designation": "",
"series": "",
"status": "",
"date": "2020-12-04",
"date_original": "December 4, 2020",
"url": "https://www.nist.gov/publications/fan-out-and-fan-properties-superconducting-neuromorphic-circuits",
"source": "NIST Publications",
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"authors_en": "Michael Schneider , Segall Kenneth",
"abstract_excerpt_en": "Neuromorphic computing has the potential to further the success of software-based artificial neural networks (ANNs) by designing hardware from a different perspective. Current research in neuromorphic hardware targets dramatic improvements to ANN",
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{
"title_en": "Fan-out and Fan-in properties of superconducting neuromorphic circuits",
"designation": "",
"series": "",
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"date": "2020-12-04",
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"url": "https://www.nist.gov/publications/fan-out-and-fan-properties-superconducting-neuromorphic-circuits",
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"authors_en": "Michael Schneider , Segall Kenneth",
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