Univ. Paris-Saclay

Service de Physique de l'Etat Condensé

Neuromorphic computing with spintronic nano-oscillators
Julie GROLLIER - CNRS/Thales lab, Palaiseau, France
Mercredi 05/06/2019, 11:15-12:15
SPEC Salle Itzykson, Bât.774, Orme des Merisiers

The purpose of neuromorphic computing is to take inspiration from the brain to build hardware neural networks that can learn to perform useful tasks with low energy consumption [1]. In this talk, I will show that spintronic nano-oscillators based on magnetic tunnel junctions can act as artificial neurons [2]. I will present our first results of pattern recognition with small networks of coupled oscillators [3]. I will then show that these microwave nano-neurons open the path to wireless deep learning.

[1] J. Grollier, D. Querlioz, et M. D. Stiles, « Spintronic Nanodevices for Bioinspired Computing », Proc. IEEE, vol. 104, no 10, p. 2024 2039, oct. 2016.
[2] J. Torrejon et al., « Neuromorphic computing with nanoscale spintronic oscillators », Nature, vol. 547, no 7664, p. 428 431, juill. 2017.
[3] M. Romera et al., « Vowel recognition with four coupled spin-torque nano-oscillators », Nature, vol. 563, no 7730, p. 230, nov. 2018 .

Contact : Cesare NARDINI

 

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