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Advancing VLSI through machine learning :innovations and research perspectives /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advancing VLSI through machine learning :edited by Abhishek Narayan Tripathi ... [et al.].
其他題名:	innovations and research perspectives /
其他作者:	Tripathi, Abhishek Narayan.
出版者:	Boca Raton, FL ;CRC PRESS,2025.
面頁冊數:	xi, 253 p. :ill. ;25 cm.
標題:	Integrated circuitsVery large scale integration.
ISBN:	9781032774282 :

Advancing VLSI through machine learning :innovations and research perspectives /
Advancing VLSI through machine learning :innovations and research perspectives /edited by Abhishek Narayan Tripathi ... [et al.]. - Boca Raton, FL ;CRC PRESS,2025. - xi, 253 p. :ill. ;25 cm.

Includes bibliographical references and index.

This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains. It investigates how ML techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.This book bridges the gap between VLSI and ML, showcasing the potential of this integration in creating innovative electronic systems, advancing computing capabilities, and paving the way for a new era of intelligent devices and technologies. Additionally, it covers how VLSI technologies can accelerate ML algorithms, enabling more efficient and powerful data processing and inference engines. It explores both hardware and software aspects, covering topics like hardware accelerators, custom hardware for specific ML tasks, and ML-driven optimization techniques for chip design and testing.This book will be helpful for academicians, researchers, postgraduate students, and those working in ML-driven VLSI.

ISBN: 9781032774282 :NT$5180Subjects--Topical Terms:

310221
Integrated circuits
--Very large scale integration.

LC Class. No.: TK7874 / A244 2025

Dewey Class. No.: 621.39/5

Advancing VLSI through machine learning :innovations and research perspectives /
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245 0 0 $a Advancing VLSI through machine learning : $b innovations and research perspectives / $c edited by Abhishek Narayan Tripathi ... [et al.].
260 $a Boca Raton, FL ; $a Abingdon, Oxon : $b CRC PRESS, $c 2025.
300 $a xi, 253 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references and index.
520 $a This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains. It investigates how ML techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.This book bridges the gap between VLSI and ML, showcasing the potential of this integration in creating innovative electronic systems, advancing computing capabilities, and paving the way for a new era of intelligent devices and technologies. Additionally, it covers how VLSI technologies can accelerate ML algorithms, enabling more efficient and powerful data processing and inference engines. It explores both hardware and software aspects, covering topics like hardware accelerators, custom hardware for specific ML tasks, and ML-driven optimization techniques for chip design and testing.This book will be helpful for academicians, researchers, postgraduate students, and those working in ML-driven VLSI.
650 0 $a Integrated circuits $x Very large scale integration. $3 310221
650 0 $a Machine learning. $3 703410
700 1 $a Tripathi, Abhishek Narayan. $3 1011778