b919436a23b54d7e1f74 · Roadmap on Emerging Hardware and Technology for Machine Learning: Section 12 - Superconducting Hardware for Neuromorphic Computing
Roadmap on Emerging Hardware and Technology for Machine Learning: Section 12 - Superconducting Hardware for Neuromorphic Computing
Recent progress in artificial intelligence is largely attributed to the rapid development of machine learning, especially in the algorithm and neural network models. However, it is the performance of the hardware, in particular the energy efficiency of a
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"title_en": "Roadmap on Emerging Hardware and Technology for Machine Learning: Section 12 - Superconducting Hardware for Neuromorphic Computing",
"designation": "",
"series": "",
"status": "",
"date": "2020-10-19",
"date_original": "October 19, 2020",
"url": "https://www.nist.gov/publications/roadmap-emerging-hardware-and-technology-machine-learning-section-12-superconducting",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jeff Shainline , Segall Kenneth",
"abstract_excerpt_en": "Recent progress in artificial intelligence is largely attributed to the rapid development of machine learning, especially in the algorithm and neural network models. However, it is the performance of the hardware, in particular the energy efficiency of a",
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"NIST Publications"
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{
"title_en": "Roadmap on Emerging Hardware and Technology for Machine Learning: Section 12 - Superconducting Hardware for Neuromorphic Computing",
"designation": "",
"series": "",
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"date": "2020-10-19",
"date_original": "October 19, 2020",
"url": "https://www.nist.gov/publications/roadmap-emerging-hardware-and-technology-machine-learning-section-12-superconducting",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jeff Shainline , Segall Kenneth",
"abstract_excerpt_en": "Recent progress in artificial intelligence is largely attributed to the rapid development of machine learning, especially in the algorithm and neural network models. However, it is the performance of the hardware, in particular the energy efficiency of a"
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