Advancing Photonic Computing Systems for Ultra-Fast Data Processing in AI and Machine Learning Applications

Photonic computing systems leverage the speed and bandwidth of light to enable ultra-fast data processing, offering transformative benefits for AI and machine learning applications. This study investigates the design and implementation of photonic architectures, focusing on speed, scalability, and energy efficiency. Results highlight significant advancements in computation speed and power consumption reduction, supporting next-generation AI technologies.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-04
DOI
https://doi.org/10.5281/zenodo.14275244
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancing Photonic Computing Systems for Ultra-Fast Data Processing in AI and Machine Learning Applications

Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
article

Advancing Photonic Computing Systems for Ultra-Fast Data Processing in AI and Machine Learning Applications

article en

Abstract

Photonic computing systems leverage the speed and bandwidth of light to enable ultra-fast data processing, offering transformative benefits for AI and machine learning applications. This study investigates the design and implementation of photonic architectures, focusing on speed, scalability, and energy efficiency. Results highlight significant advancements in computation speed and power consumption reduction, supporting next-generation AI technologies.

Zenodo (CERN European Organization for Nuclear Research)
King Abdullah University of Science and Technology (SA)
Affordable and clean energy
Openalex Percentile: Top 68%
Neural Networks and Reservoir Computing
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Advancing Photonic Computing Systems for Ultra-Fast Data Processing in AI and Machine Learning Applications · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS