Photonic Switching and Computing in Future AI and Data Systems

Ubiquitous deployment of AI methods in every sector of our daily lives is now driving explosive demands for more data to be collected, processed, and analyzed by our data systems with unprecedented speed, efficiency, and intelligence. The advances in electronics alone, even with the extension of Moore's Law, evidently cannot keep up with the demands that are increasing at a 10x pace every year. By harnessing the unique properties of light, photonics offers a route to overcome the bottlenecks faced by electronic circuits, paving the way for unprecedented advancements in information processing, switching, and routing.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11109413
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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article

Photonic Switching and Computing in Future AI and Data Systems

Sun-Kook Yoo
Neural Networks and Reservoir Computing
article

Photonic Switching and Computing in Future AI and Data Systems

Sun-Kook Yoo
article en

Abstract

Ubiquitous deployment of AI methods in every sector of our daily lives is now driving explosive demands for more data to be collected, processed, and analyzed by our data systems with unprecedented speed, efficiency, and intelligence. The advances in electronics alone, even with the extension of Moore's Law, evidently cannot keep up with the demands that are increasing at a 10x pace every year. By harnessing the unique properties of light, photonics offers a route to overcome the bottlenecks faced by electronic circuits, paving the way for unprecedented advancements in information processing, switching, and routing.

University of California, Davis (US)
Openalex Percentile: Top 89%
Neural Networks and Reservoir Computing
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Photonic Switching and Computing in Future AI and Data Systems — Sun-Kook Yoo · (2025) | TGRS Research Map | TGRS