Advancing VLSI through Machine Learning : Innovations and Research Perspectives

Language: English

Published by Taylor & Francis Ltd Jul 2026, 2026

1032774290 / 9781032774299

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - 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.

Seller Inventory # 9781032774299

Title
Advancing VLSI through Machine Learning : Innovations and Research Perspectives
Author
Jagana Bihari Padhy
Publisher
Taylor & Francis Ltd Jul 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1032774290
ISBN 13
9781032774299
Item weight
378 grams
Dimensions
234x156x14 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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