Advancing VLSI through Machine Learning: Innovations and Research Perspectives (1) (Materials, Devices, and Circuits)

Synopsis

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.

Copyright:

2025

Book Details

Book Quality:

Publisher Quality

Book Size:

266 Pages

ISBN-13:

9781040296547

Related ISBNs:

9781040296530, 9781003483038, 9781032774282

Publisher:

CRC Press

Date of Addition:

03/31/25

Copyrighted By:

selection and editorial matter, Abhishek Narayan Tripathi, Jagana Bihari Padhy, Indrasen Singh, Shubham Tayal and Ghanshyam Singh

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Technology

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

null Abhishek Narayan Tripathi

Edited by:

null Jagana Bihari Padhy

Edited by:

null Indrasen Singh

Edited by:

null Shubham Tayal

Edited by:

null Ghanshyam Singh