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cs.ET2026
Physical Reservoir Signal Acquisition for Sub-Nyquist Waveform Reconstruction
Yuito Ito, Anas Skalli, Tetsuya Asai +1
Physical reservoir computing has traditionally exploited the dynamics of physical systems for computation, enabling tasks such as inference, classification, and prediction. Here, w…
cs.ET2026
Power law scaling for classification accuracy in physical neural networks
Andrei V. Ermolaev, Mathilde Hary, Anas Skalli +7
Physical neural networks (PNNs) harness the intrinsic complexity of physical systems to perform neural computation, potentially at speeds and energy efficiencies inaccessible to co…
physics.optics2026
The thin line for optical neural networks towards broad practical relevance
Anas Skalli, Daniel Brunner
Optical neural networks promise unmatched efficiency, bandwidth, and latency, critical benefits as demand for neural network hardware surges. However, their practical value for gen…