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a9e4e1e320c6340b6bc6 · Reservoir computing leveraging the transient non-linear dynamics of spin-torque nano-oscillators

Reservoir computing leveraging the transient non-linear dynamics of spin-torque nano-oscillators

Present artificial intelligence algorithms require extensive computations to emulate the behavior of large neural networks, operating current computers near their limits, which leads to high energy costs. A possible solution to this problem is the

Официальный источник · 2021-08-06

Полные импортированные сведения карточки
{
  "title_en": "Reservoir computing leveraging the transient non-linear dynamics of spin-torque nano-oscillators",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2021-08-06",
  "date_original": "August 6, 2021",
  "url": "https://www.nist.gov/publications/reservoir-computing-leveraging-transient-non-linear-dynamics-spin-torque-nano",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Mathieu Riou, Jacob Torrejon, Flavio Abreu Araujo, Sumito Tsunegi, Guru Khalsa, Damien Querlioz, Paolo Bortolotti, Nathan Leroux, Danijela Markovic, Vincent Cros, K. Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles , Julie Grollier",
  "abstract_excerpt_en": "Present artificial intelligence algorithms require extensive computations to emulate the behavior of large neural networks, operating current computers near their limits, which leads to high energy costs. A possible solution to this problem is the",
  "id": "a9e4e1e320c6340b6bc6",
  "sources": [
    "NIST Publications"
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    {
      "title_en": "Reservoir computing leveraging the transient non-linear dynamics of spin-torque nano-oscillators",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2021-08-06",
      "date_original": "August 6, 2021",
      "url": "https://www.nist.gov/publications/reservoir-computing-leveraging-transient-non-linear-dynamics-spin-torque-nano",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Mathieu Riou, Jacob Torrejon, Flavio Abreu Araujo, Sumito Tsunegi, Guru Khalsa, Damien Querlioz, Paolo Bortolotti, Nathan Leroux, Danijela Markovic, Vincent Cros, K. Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles , Julie Grollier",
      "abstract_excerpt_en": "Present artificial intelligence algorithms require extensive computations to emulate the behavior of large neural networks, operating current computers near their limits, which leads to high energy costs. A possible solution to this problem is the"
    }
  ],
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}