Resource-efficient photonic networks for next-generation AI computing

Resource-efficient photonic networks for next-generation AI computing

Abstract Current trends in artificial intelligence toward larger models demand a rethinking of both hardware and algorithms. Photonics-based systems offer high-speed, energy-efficient computing units, provided algorithms are designed to exploit photonics’ unique strengths. The recent implementation...

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Bibliographic Details
Main Authors: Ilker Oguz, Mustafa Yildirim, Jih-Liang Hsieh, Niyazi Ulas Dinc, Christophe Moser, Demetri Psaltis
Format: Article
Language:English
Published: Nature Publishing Group 2025-01-01
Series:Light: Science & Applications
Online Access:https://doi.org/10.1038/s41377-024-01717-6
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Summary:Abstract Current trends in artificial intelligence toward larger models demand a rethinking of both hardware and algorithms. Photonics-based systems offer high-speed, energy-efficient computing units, provided algorithms are designed to exploit photonics’ unique strengths. The recent implementation of cellular automata in photonics demonstrates how a few local interactions can achieve high throughput and precision.
ISSN:2047-7538

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