Neuromorphic computing with nanoscale spintronic oscillators

Jacob Torrejon, Mathieu Riou, Flavio Abreu Araujo, Sumito Tsunegi, Guru Khalsa, Damien Querlioz, Paolo Bortolotti, Vincent Cros, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles and Julie Grollier ()
Additional contact information
Jacob Torrejon: Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay
Mathieu Riou: Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay
Flavio Abreu Araujo: Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay
Sumito Tsunegi: National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center
Guru Khalsa: Center for Nanoscale Science and Technology, National Institute of Standards and Technology
Damien Querlioz: Centre de Nanosciences et de Nanotechnologies, CNRS, Université Paris-Sud, Université Paris-Saclay
Paolo Bortolotti: Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay
Vincent Cros: Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay
Kay Yakushiji: National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center
Akio Fukushima: National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center
Hitoshi Kubota: National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center
Shinji Yuasa: National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center
Mark D. Stiles: Center for Nanoscale Science and Technology, National Institute of Standards and Technology
Julie Grollier: Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay

Nature, 2017, vol. 547, issue 7664, 428-431

Abstract: Spoken-digit recognition using a nanoscale spintronic oscillator that mimics the behaviour of neurons demonstrates the potential of such oscillators for realizing large-scale neural networks in future hardware.

Date: 2017
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DOI: 10.1038/nature23011

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