Confluence of Photonics and Artificial Intelligence

Over the past decades, significant advances have been made in the fields of photonic technologies, artificial intelligence, and machine learning techniques. Recent AI progress in language models, perception and self-learning capability has had a significant impact on a wide range of communities. The new photonics enhances AI with faster data processing, reduced energy consumption, and improved interconnects, enabling more efficient and powerful AI systems. In this paper, we will highlight the synchroneity of these advances from performance enhancement of AI processing by photonics and advanced photonics with AI processing, leading to new photonic neural networks for future photonic AI processors.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Selected Topics in Quantum Electronics
Published
2025-03-18
DOI
https://doi.org/10.1109/jstqe.2025.3552430
Citations
1
Primary Topic
Ocular and Laser Science Research
Type
article
Field-Weighted Citation Impact
1.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Confluence of Photonics and Artificial Intelligence

Young-Kai Chen
1 citations
IEEE Journal of Selected Topics in Quantum Electronics
Ocular and Laser Science Research
1.71
article

Confluence of Photonics and Artificial Intelligence

Young-Kai Chen
article en
1 citations

Abstract

Over the past decades, significant advances have been made in the fields of photonic technologies, artificial intelligence, and machine learning techniques. Recent AI progress in language models, perception and self-learning capability has had a significant impact on a wide range of communities. The new photonics enhances AI with faster data processing, reduced energy consumption, and improved interconnects, enabling more efficient and powerful AI systems. In this paper, we will highlight the synchroneity of these advances from performance enhancement of AI processing by photonics and advanced photonics with AI processing, leading to new photonic neural networks for future photonic AI processors.

IEEE Journal of Selected Topics in Quantum ElectronicsVol. 31(3: AI/ML Integrated Opto)
Coherent (United States) (US)
Openalex Percentile: Top 21%
Ocular and Laser Science Research
1.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.