From the 1 of 4 linked papers with an AI index.
4 papers
Nanoparticle Networks for Neuromorphic Computing
Jonas Mensing, Wilfred G. van der Wiel, Andreas Heuer
The paper presents a neuromorphic computing platform built from metallic nanoparticle networks linked by molecular junctions, showing how static control electrodes can tune the sys…
Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units
Manuel Escudero, Mohamadreza Zolfagharinejad, Sjoerd van den Belt +2
Kolmogorov-Arnold Networks (KANs) shift neural computation from linear layers to learnable nonlinear edge functions, but implementing these nonlinearities efficiently in hardware r…
Space-Charge-Driven Nonlinear Charge Transport in Silicon Reconfigurable Nonlinear-Processing Units
Jonas Kareem, Lorenzo Cassola, Reinier J. C. Cool +4
Reconfigurable nonlinear-processing units (RNPUs) are multi-terminal electronic devices that act as computational primitives, exploiting intrinsic nonlinear charge transport combin…
Gradient descent in materia through homodyne gradient extraction
Marcus N. Boon, Lorenzo Cassola, Hans-Christian Ruiz Euler +5
Deep learning, a multi-layered neural network approach inspired by the brain, has revolutionized machine learning. One of its key enablers has been backpropagation, an algorithm th…