Resource-efficient photonic networks for next-generation AI computing

被引：0

作者：

Oguz, Ilker ^{[1
]}

Yildirim, Mustafa ^{[1
]}

Hsieh, Jih-Liang ^{[1
]}

Dinc, Niyazi Ulas ^{[1
]}

Moser, Christophe ^{[1
]}

Psaltis, Demetri ^{[1
]}

机构：

[1] Ecole Polytech Fed Lausanne, Inst Elect & Micro Engn, Lausanne, Switzerland

来源：

LIGHT-SCIENCE & APPLICATIONS | 2025年 / 14卷 / 01期

关键词：

D O I：

10.1038/s41377-024-01717-6

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

引用

页数：4

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