Annealing-inspired training of an optical neural network with ternary weights

Abstract Artificial neural networks (ANNs) represent a fundamentally connectionist and distributed approach to computing, and as such they differ from classical computers that utilize the von Neumann architecture. This has revived research interest in new unconventional hardware for more efficient A...

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Bibliographic Details
Main Authors: Anas Skalli, Mirko Goldmann, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Communications Physics
Online Access:https://doi.org/10.1038/s42005-025-01972-y
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