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portada Advancing Vlsi Through Machine Learning (Materials, Devices, and Circuits)
Type
Physical Book
Publisher
Author
Language
English
Pages
266
Format
Hardcover
ISBN13
9781032774282
Edition No.
1

Advancing Vlsi Through Machine Learning (Materials, Devices, and Circuits)

Tripathi Abhishek Narayan,Padhy Jagana Bihari,Singh Indrasen (Author) · Crc Press · Hardcover

Advancing Vlsi Through Machine Learning (Materials, Devices, and Circuits) - Tripathi Abhishek Narayan,Padhy Jagana Bihari,Singh Indrasen

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Synopsis "Advancing Vlsi Through Machine Learning (Materials, Devices, and Circuits)"

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.

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