414 citations · 886 across the 15 of their papers we have counts for
15 papers
Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations
Xing Chen, Flavio Abreu Araujo, Mathieu Riou +6
Deep learning has an increasing impact to assist research, allowing, for example, the discovery of novel materials. Until now, however, these artificial intelligence techniques hav…
Multi-GMR sensors controlled by additive dipolar coupling
J. Torrejon, A. Solignac, C. Chopin +5
Vertical packaging of multiple Giant Magnetoresistance (multi-GMR) stacks is a very interesting noise reduction strategy for local magnetic sensor measurements, which has not been…
Role of non-linear data processing on speech recognition task in the framework of reservoir computing
Flavio Abreu Araujo, Mathieu Riou, Jacob Torrejon +8
The reservoir computing neural network architecture is widely used to test hardware systems for neuromorphic computing. One of the preferred tasks for bench-marking such devices is…
Temporal pattern recognition with delayed feedback spin-torque nano-oscillators
M. Riou, J. Torrejon, B. Garitaine +11
The recent demonstration of neuromorphic computing with spin-torque nano-oscillators has opened a path to energy efficient data processing. The success of this demonstration hinged…
Neuromorphic Computing through Time-Multiplexing with a Spin-Torque Nano-Oscillator
M. Riou, F. Abreu Araujo, J. Torrejon +11
Fabricating powerful neuromorphic chips the size of a thumb requires miniaturizing their basic units: synapses and neurons. The challenge for neurons is to scale them down to submi…
Reservoir computing with the frequency, phase and amplitude of spin-torque nano-oscillators
Danijela Marković, Nathan Leroux, Mathieu Riou +8
Spin-torque nano-oscillators can emulate neurons at the nanoscale. Recent works show that the non-linearity of their oscillation amplitude can be leveraged to achieve waveform clas…