6a2d8a294f405840c735 · Photonic Online Learning: A Perspective
Photonic Online Learning: A Perspective
Neuromorphic systems promise to solve certain problems faster and with higher energy efficiency than traditional computing, by using the physics of the devices themselves for information processing. While initial results in photonic neuromorphic hardware
{
"title_en": "Photonic Online Learning: A Perspective",
"designation": "",
"series": "",
"status": "",
"date": "2023-01-09",
"date_original": "January 9, 2023",
"url": "https://www.nist.gov/publications/photonic-online-learning-perspective",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Sonia Buckley , Alexander Tait, Adam McCaughan , Bhavin Shastri",
"abstract_excerpt_en": "Neuromorphic systems promise to solve certain problems faster and with higher energy efficiency than traditional computing, by using the physics of the devices themselves for information processing. While initial results in photonic neuromorphic hardware",
"id": "6a2d8a294f405840c735",
"sources": [
"NIST Publications"
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{
"title_en": "Photonic Online Learning: A Perspective",
"designation": "",
"series": "",
"status": "",
"date": "2023-01-09",
"date_original": "January 9, 2023",
"url": "https://www.nist.gov/publications/photonic-online-learning-perspective",
"source": "NIST Publications",
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"authors_en": "Sonia Buckley , Alexander Tait, Adam McCaughan , Bhavin Shastri",
"abstract_excerpt_en": "Neuromorphic systems promise to solve certain problems faster and with higher energy efficiency than traditional computing, by using the physics of the devices themselves for information processing. While initial results in photonic neuromorphic hardware"
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