光子与人工智能的融合

IF 4.3 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Young-Kai Chen
{"title":"光子与人工智能的融合","authors":"Young-Kai Chen","doi":"10.1109/JSTQE.2025.3552430","DOIUrl":null,"url":null,"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.","PeriodicalId":13094,"journal":{"name":"IEEE Journal of Selected Topics in Quantum Electronics","volume":"31 3: AI/ML Integrated Opto-electronics","pages":"1-14"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Confluence of Photonics and Artificial Intelligence\",\"authors\":\"Young-Kai Chen\",\"doi\":\"10.1109/JSTQE.2025.3552430\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":13094,\"journal\":{\"name\":\"IEEE Journal of Selected Topics in Quantum Electronics\",\"volume\":\"31 3: AI/ML Integrated Opto-electronics\",\"pages\":\"1-14\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Journal of Selected Topics in Quantum Electronics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10930836/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Selected Topics in Quantum Electronics","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10930836/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

在过去的几十年里,光子技术、人工智能和机器学习技术领域取得了重大进展。最近人工智能在语言模型、感知和自我学习能力方面的进展对广泛的社区产生了重大影响。新的光子学通过更快的数据处理、更低的能耗和改进的互连来增强人工智能,从而实现更高效、更强大的人工智能系统。在本文中,我们将强调这些进展的同步性,从光子学的人工智能处理性能增强和先进光子学与人工智能处理的同步性,从而为未来的光子人工智能处理器带来新的光子神经网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IEEE Journal of Selected Topics in Quantum Electronics
IEEE Journal of Selected Topics in Quantum Electronics 工程技术-工程:电子与电气
CiteScore
10.60
自引率
2.00%
发文量
212
审稿时长
3 months
期刊介绍: Papers published in the IEEE Journal of Selected Topics in Quantum Electronics fall within the broad field of science and technology of quantum electronics of a device, subsystem, or system-oriented nature. Each issue is devoted to a specific topic within this broad spectrum. Announcements of the topical areas planned for future issues, along with deadlines for receipt of manuscripts, are published in this Journal and in the IEEE Journal of Quantum Electronics. Generally, the scope of manuscripts appropriate to this Journal is the same as that for the IEEE Journal of Quantum Electronics. Manuscripts are published that report original theoretical and/or experimental research results that advance the scientific and technological base of quantum electronics devices, systems, or applications. The Journal is dedicated toward publishing research results that advance the state of the art or add to the understanding of the generation, amplification, modulation, detection, waveguiding, or propagation characteristics of coherent electromagnetic radiation having sub-millimeter and shorter wavelengths. In order to be suitable for publication in this Journal, the content of manuscripts concerned with subject-related research must have a potential impact on advancing the technological base of quantum electronic devices, systems, and/or applications. Potential authors of subject-related research have the responsibility of pointing out this potential impact. System-oriented manuscripts must be concerned with systems that perform a function previously unavailable or that outperform previously established systems that did not use quantum electronic components or concepts. Tutorial and review papers are by invitation only.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信