Julie Grollier, Unité Mixte de Physique, CNRS-Thales
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. In this talk, I will show that spintronic nano-oscillators based on magnetic tunnel junctions can act as artificial neurons. I will present our first results of pattern recognition with small networks of coupled oscillators. I will then show that these microwave nano-neurons open the path to wireless deep learning.