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physics.optics2023★ 15 cited
Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning
Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff-Plückelmann +4
Plastic self-adaptation, nonlinear recurrent dynamics and multi-scale memory are desired features in hardware implementations of neural networks, because they enable them to learn,…
physics.app-ph2023★ 167 cited
In-memory photonic dot-product engine with electrically programmable weight banks
Wen Zhou, Bowei Dong, Nikolaos Farmakidis +7
Electronically reprogrammable photonic circuits based on phase-change chalcogenides present an avenue to resolve the von-Neumann bottleneck; however, implementation of such hybrid…