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.
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页数：4
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