Advancing VLSI through Machine Learning: Innovations and Research Perspectives - Materials, Devices, and Circuits - - Books - Taylor & Francis Ltd - 9781032774299 - July 20, 2026
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Advancing VLSI through Machine Learning: Innovations and Research Perspectives - Materials, Devices, and Circuits

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This book explores the synergy between VLSI and Machine Learning and its applications across various domains. It will investigate how Machine Learning techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.

Media Books     Paperback Book   (Book with soft cover and glued back)
To be released July 20, 2026
ISBN13 9781032774299
Publishers Taylor & Francis Ltd
Pages 254
Dimensions 150 × 220 × 10 mm   ·   376 g
Editor Padhy, Jagana Bihari
Editor Singh, Ghanshyam
Editor Singh, Indrasen (Vellore Institute of Technology, India)
Editor Tayal, Shubham (University of Petroleum and Energy Studies, India)
Editor Tripathi, Abhishek Narayan

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