Adaptive Photochemical Nonlinearities for Optical Neural Networks

Adaptive Photochemical Nonlinearities for Optical Neural Networks

Optical neural networks (ONNs) hold great potential for faster and more energy‐efficient information processing in coherent photonic circuits. To realize ONNs, linear combinations and nonlinear activation functions have to be implemented in an optical fashion. Optical nonlinearities are, however, st...

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Bibliographic Details
Main Authors: Marlon Becker, Jan Riegelmeyer, Maximilian David Seyfried, Bart Jan Ravoo, Carsten Schuck, Benjamin Risse
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Advanced Intelligent Systems
Subjects:
artificial intelligence
machine learning
neuromorphic computing
optical neural networks
Online Access:https://doi.org/10.1002/aisy.202300229

Internet

https://doi.org/10.1002/aisy.202300229

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