Pub Date : 2024-03-05DOI: 10.1109/mcas.2024.3349730
Ricardo Reis, Fávero Guilherme Santos
{"title":"IEEE CASS Tour Manaus 2023: Sailing on the Waters of Innovation","authors":"Ricardo Reis, Fávero Guilherme Santos","doi":"10.1109/mcas.2024.3349730","DOIUrl":"https://doi.org/10.1109/mcas.2024.3349730","url":null,"abstract":"","PeriodicalId":55038,"journal":{"name":"IEEE Circuits and Systems Magazine","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140044913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-05DOI: 10.1109/mcas.2024.3349728
Ricardo Reis, Hai Li, Manuel Delgado-Restituto
{"title":"IEEE Sections Congress and CASS Workshop Ottawa","authors":"Ricardo Reis, Hai Li, Manuel Delgado-Restituto","doi":"10.1109/mcas.2024.3349728","DOIUrl":"https://doi.org/10.1109/mcas.2024.3349728","url":null,"abstract":"","PeriodicalId":55038,"journal":{"name":"IEEE Circuits and Systems Magazine","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140045111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-05DOI: 10.1109/mcas.2024.3361095
{"title":"We Want to Hear From You!","authors":"","doi":"10.1109/mcas.2024.3361095","DOIUrl":"https://doi.org/10.1109/mcas.2024.3361095","url":null,"abstract":"","PeriodicalId":55038,"journal":{"name":"IEEE Circuits and Systems Magazine","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140045027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-05DOI: 10.1109/mcas.2024.3361098
{"title":"TechRxiv: Share Your Preprint Research With the World!","authors":"","doi":"10.1109/mcas.2024.3361098","DOIUrl":"https://doi.org/10.1109/mcas.2024.3361098","url":null,"abstract":"","PeriodicalId":55038,"journal":{"name":"IEEE Circuits and Systems Magazine","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140045128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-05DOI: 10.1109/mcas.2024.3350570
{"title":"2023 Index IEEE Circuits and Systems Magazine Vol. 23","authors":"","doi":"10.1109/mcas.2024.3350570","DOIUrl":"https://doi.org/10.1109/mcas.2024.3350570","url":null,"abstract":"","PeriodicalId":55038,"journal":{"name":"IEEE Circuits and Systems Magazine","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139948592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1109/mcas.2023.3331327
Yiran Chen
In September 2023, the EiC of the IEEE Circuits and Systems Magazine, Yiran Chen, and Associate Editor Fan Chen had a great chance to interview Professor Jason Cong, a world-renowned distinguished scholar in electronic design automation (EDA) and next-generation computing. This interview comprises six questions that explore various facets of his distinguished career. We trust that our CAS readers will find this conversation enlightening and enjoyable!
2023 年 9 月，《IEEE 电路与系统》杂志的 EiC 陈怡然和副主编陈凡有幸采访了在电子设计自动化（EDA）和下一代计算领域享誉全球的杰出学者 Jason Cong 教授。本访谈包括六个问题，探讨了他杰出职业生涯的方方面面。我们相信，中科院的读者一定会从中获得启迪和乐趣！
{"title":"An Interview With Professor Jason Cong [Interview]","authors":"Yiran Chen","doi":"10.1109/mcas.2023.3331327","DOIUrl":"https://doi.org/10.1109/mcas.2023.3331327","url":null,"abstract":"<fig orientation=\"portrait\" position=\"float\" xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"> <graphic orientation=\"portrait\" position=\"float\" xlink:href=\"inter-3331327.tif\"/> </fig> In September 2023, the EiC of the IEEE Circuits and Systems Magazine, Yiran Chen, and Associate Editor Fan Chen had a great chance to interview Professor Jason Cong, a world-renowned distinguished scholar in electronic design automation (EDA) and next-generation computing. This interview comprises six questions that explore various facets of his distinguished career. We trust that our CAS readers will find this conversation enlightening and enjoyable!","PeriodicalId":55038,"journal":{"name":"IEEE Circuits and Systems Magazine","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139663542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1109/mcas.2023.3334440
{"title":"SBCCI 2024","authors":"","doi":"10.1109/mcas.2023.3334440","DOIUrl":"https://doi.org/10.1109/mcas.2023.3334440","url":null,"abstract":"","PeriodicalId":55038,"journal":{"name":"IEEE Circuits and Systems Magazine","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139948695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1109/mcas.2023.3325592
Nobuo Fujii
Professor Takeshi Yanagisawa, who passed away in June 2022, was one of the most outstanding leaders in the field of analog signal processing. Professor Yanagisawa graduated from Tokyo Institute of Technology (TokyoTech) in 1953, and received the M.S. and Ph.D. degrees from TokyoTech in 1955 and 1958, respectively. He has greatly contributed to the development of analog circuits, especially RC active filters. Originally, stable analog filters were realized using inductors, capacitors, and resistors. In order to install filters in a monolithic integrated circuit, the inductors must be avoided because of the difficulty of micro miniaturization. This led to the development of analog filter using resistor, capacaitors, and active elements such as amplifiers.
{"title":"Takeshi Yanagisawa—A Pioneer of Analog Signal Processing [Pioneers in CAS]","authors":"Nobuo Fujii","doi":"10.1109/mcas.2023.3325592","DOIUrl":"https://doi.org/10.1109/mcas.2023.3325592","url":null,"abstract":"<fig orientation=\"portrait\" position=\"float\" xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"> <graphic orientation=\"portrait\" position=\"float\" xlink:href=\"pione-3325592.tif\"/> </fig>\u0000Professor Takeshi Yanagisawa, who passed away in June 2022, was one of the most outstanding leaders in the field of analog signal processing. Professor Yanagisawa graduated from Tokyo Institute of Technology (TokyoTech) in 1953, and received the M.S. and Ph.D. degrees from TokyoTech in 1955 and 1958, respectively. He has greatly contributed to the development of analog circuits, especially RC active filters. Originally, stable analog filters were realized using inductors, capacitors, and resistors. In order to install filters in a monolithic integrated circuit, the inductors must be avoided because of the difficulty of micro miniaturization. This led to the development of analog filter using resistor, capacaitors, and active elements such as amplifiers.","PeriodicalId":55038,"journal":{"name":"IEEE Circuits and Systems Magazine","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139663527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1109/mcas.2023.3325496
Kang Jun Bai, Clare Thiem, Jack Lombardi, Yibin Liang, Yang Yi
Reservoir computing (RC) is a neural computing paradigm especially well-suited for learning dynamical systems by leveraging an untrained reservoir layer, providing high-dimensional input encoding with fading memory property. Since only the readout weights are trained under RC, linear regression learning algorithms are sufficient, leading to significant improvements in computational complexity and energy efficiency as compared to other deep neural networks (DNNs). RC offers an alternative solution to sidestep the shortcomings of data scarcity and the vanishing gradient problem. More importantly, such a network structure is amenable to hardware implementation using a variety of devices, circuits, and systems, making RC a good candidate to replace sophisticated DNNs as a lightweight classifier at the edge for internet of things (IoT) applications. In this article, we provide an overview of recent advances in RC hardware and their applications for mobile edge intelligence. Specifically, we will demonstrate the design strategies of RC in opto-electronic configuration, fully digital system, and silicon with the mixed-signal integrated circuit approach. Moreover, we will expose a novel implementation approach using emerging materials, designing the way for RC to be used in the next-generation neuromorphic computing systems. Building upon these efficient RC models, their applicability and effectiveness against the state-of-the-art are then demonstrated through diverse machine learning benchmarks spanning the area of IoT, communication networks, and healthcare.
{"title":"Design Strategies and Applications of Reservoir Computing: Recent Trends and Prospects [Feature]","authors":"Kang Jun Bai, Clare Thiem, Jack Lombardi, Yibin Liang, Yang Yi","doi":"10.1109/mcas.2023.3325496","DOIUrl":"https://doi.org/10.1109/mcas.2023.3325496","url":null,"abstract":"Reservoir computing (RC) is a neural computing paradigm especially well-suited for learning dynamical systems by leveraging an untrained reservoir layer, providing high-dimensional input encoding with fading memory property. Since only the readout weights are trained under RC, linear regression learning algorithms are sufficient, leading to significant improvements in computational complexity and energy efficiency as compared to other deep neural networks (DNNs). RC offers an alternative solution to sidestep the shortcomings of data scarcity and the vanishing gradient problem. More importantly, such a network structure is amenable to hardware implementation using a variety of devices, circuits, and systems, making RC a good candidate to replace sophisticated DNNs as a lightweight classifier at the edge for internet of things (IoT) applications. In this article, we provide an overview of recent advances in RC hardware and their applications for mobile edge intelligence. Specifically, we will demonstrate the design strategies of RC in opto-electronic configuration, fully digital system, and silicon with the mixed-signal integrated circuit approach. Moreover, we will expose a novel implementation approach using emerging materials, designing the way for RC to be used in the next-generation neuromorphic computing systems. Building upon these efficient RC models, their applicability and effectiveness against the state-of-the-art are then demonstrated through diverse machine learning benchmarks spanning the area of IoT, communication networks, and healthcare.","PeriodicalId":55038,"journal":{"name":"IEEE Circuits and Systems Magazine","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139663543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1109/mcas.2023.3332579
{"title":"IEEE Circuits and Systems Magazine Publication Information","authors":"","doi":"10.1109/mcas.2023.3332579","DOIUrl":"https://doi.org/10.1109/mcas.2023.3332579","url":null,"abstract":"","PeriodicalId":55038,"journal":{"name":"IEEE Circuits and Systems Magazine","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139948594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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