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a716f355f2adbb784a5d · Neural networks three ways: unlocking novel computing schemes using magnetic tunnel junction stochasticity

Neural networks three ways: unlocking novel computing schemes using magnetic tunnel junction stochasticity

Due to their interesting physical properties, myriad operational regimes, small size, and industrial fabrication maturity, magnetic tunnel junctions are uniquely suited for unlocking novel computing schemes for in-hardware neuromorphic computing. In this

Официальный источник · 2023-09-28

Полные импортированные сведения карточки
{
  "title_en": "Neural networks three ways: unlocking novel computing schemes using magnetic tunnel junction stochasticity",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2023-09-28",
  "date_original": "September 28, 2023",
  "url": "https://www.nist.gov/publications/neural-networks-three-ways-unlocking-novel-computing-schemes-using-magnetic-tunnel",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Matthew Daniels , William Borders , Nitin Prasad , Advait Madhavan , Sidra Gibeault , Temitayo Adeyeye , Liam Pocher, Lei Wan, Michael Tran, Jordan Katine, Daniel Lathrop, Brian Hoskins , Tiffany Santos, Patrick Braganca, Mark Stiles , Jabez J. McClelland",
  "abstract_excerpt_en": "Due to their interesting physical properties, myriad operational regimes, small size, and industrial fabrication maturity, magnetic tunnel junctions are uniquely suited for unlocking novel computing schemes for in-hardware neuromorphic computing. In this",
  "id": "a716f355f2adbb784a5d",
  "sources": [
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      "title_en": "Neural networks three ways: unlocking novel computing schemes using magnetic tunnel junction stochasticity",
      "designation": "",
      "series": "",
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      "date": "2023-09-28",
      "date_original": "September 28, 2023",
      "url": "https://www.nist.gov/publications/neural-networks-three-ways-unlocking-novel-computing-schemes-using-magnetic-tunnel",
      "source": "NIST Publications",
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      "authors_en": "Matthew Daniels , William Borders , Nitin Prasad , Advait Madhavan , Sidra Gibeault , Temitayo Adeyeye , Liam Pocher, Lei Wan, Michael Tran, Jordan Katine, Daniel Lathrop, Brian Hoskins , Tiffany Santos, Patrick Braganca, Mark Stiles , Jabez J. McClelland",
      "abstract_excerpt_en": "Due to their interesting physical properties, myriad operational regimes, small size, and industrial fabrication maturity, magnetic tunnel junctions are uniquely suited for unlocking novel computing schemes for in-hardware neuromorphic computing. In this"
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