Training hybrid neural networks with multimode optical nonlinearities using digital twins

Training hybrid neural networks with multimode optical nonlinearities using digital twins

The ability to train ever-larger neural networks brings artificial intelligence to the forefront of scientific and technical discoveries. However, their exponentially increasing size creates a proportionally greater demand for energy and computational hardware. Incorporating complex physical events...

Full description

Saved in:
Bibliographic Details
Main Authors: Oguz Ilker, Suter Louis J.E., Hsieh Jih-Liang, Yildirim Mustafa, Dinc Niyazi Ulas, Moser Christophe, Psaltis Demetri
Format: Article
Language:English
Published: De Gruyter 2025-04-01
Series:Nanophotonics
Subjects:
optical computing
digital twins
neural networks
artificial intelligence
fiber optics
optimization algorithms
Online Access:https://doi.org/10.1515/nanoph-2025-0002
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1515/nanoph-2025-0002

Similar Items