120 citations · 261 across the 6 of their papers we have counts for
6 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…
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…
Neuromorphic computing with nanoscale spintronic oscillators
Jacob Torrejon, Mathieu Riou, Flavio Abreu Araujo +10
Neurons in the brain behave as non-linear oscillators, which develop rhythmic activity and interact to process information. Taking inspiration from this behavior to realize high de…