75 citations · 246 across the 14 of their papers we have counts for
3 papers · 1 filter
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…
Neuromorphic Overparameterisation and Few-Shot Learning in Multilayer Physical Neural Networks
Kilian D. Stenning, Jack C. Gartside, Luca Manneschi +10
Physical neuromorphic computing, exploiting the complex dynamics of physical systems, has seen rapid advancements in sophistication and performance. Physical reservoir computing, a…
Reconfigurable Reservoir Computing in a Magnetic Metamaterial
Ian Vidamour, Charles Swindells, Guru Venkat +10
In-materia reservoir computing (RC) leverages the intrinsic physical responses of functional materials to perform complex computational tasks. Magnetic metamaterials are exciting c…