322 citations · 556 across the 15 of their papers we have counts for
3 papers · 1 filter
Reproducible Reservoir Computing with Thermally Driven Superparamagnets: Controlling Temperature Sensitivity
Zhengfei Chen, Alex Welbourne, Matthew O. A. Ellis +3
Unconventional computing systems must demonstrate robust performance under real-world environmental conditions to enable practical deployments. We have recently proposed superparam…
Machine learning using magnetic stochastic synapses
Matthew O. A. Ellis, Alex Welbourne, Stephan J. Kyle +4
The impressive performance of artificial neural networks has come at the cost of high energy usage and CO emissions. Unconventional computing architectures, with magnetic syste…
A perspective on physical reservoir computing with nanomagnetic devices
Dan A Allwood, Matthew O A Ellis, David Griffin +11
Neural networks have revolutionized the area of artificial intelligence and introduced transformative applications to almost every scientific field and industry. However, this succ…