190 citations · 687 across the 27 of their papers we have counts for
4 papers · 1 filter
Graph-theoretic design of lasing networks for physical vision
Paul Obernolte, Jakub Dranczewski, Yixiu Yin +10
Physical neural networks perform learning through the intrinsic nonlinear dynamics of matter. Optimising their design presents a considerable challenge: complex many-body physics c…
Learning Nonlinear Heterogeneity in Physical Kolmogorov-Arnold Networks
Fabiana Taglietti, Andrea Pulici, Maxwell Roxburgh +10
Physical neural networks typically train linear synaptic weights while treating device nonlinearities as fixed. We show the opposite - by training the synaptic nonlinearity itself,…
Magnetic vortex writing and local reversal seeding in artificial spin-vortex ice via all-optical and surface-probe control
Holly Holder, Jack C. Gartside, Alex Vanstone +8
Artificial spin-vortex ice ('ASVI') is a reconfigurable nanomagnetic metamaterial consisting of magnetic nanoislands tailored to support both Ising macrospin and vortex textures. A…
Few-Shot Neuromorphic Vision in a Nonlinear Photonic Network Laser
Wai Kit Ng, Jakub Dranczewski, Anna Fischer +11
With the growing prevalence of AI, demand increases for hardware that mimics the brain's ability to extract structure from limited data. In the retina, ganglion cells detect featur…