Spintronics-Based Neuromorphic Computing

Debanjan Bhowmik

ISBN 10: 9819744474 / ISBN 13: 9789819744473

Published by Springer, 2025

About this Item

Spintronics-Based Neuromorphic Computing | Debanjan Bhowmik | Taschenbuch | Springer Tracts in Electrical and Electronics Engineering | xv | Englisch | 2025 | Springer | EAN 9789819744473 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 133690904

Bibliographic Details

• Title: Spintronics-Based Neuromorphic Computing
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 9819744474
• ISBN 13: 9789819744473
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 8D millimeters 235 millimeters width by 155 millimeters height by 8 millimeters depth
• Weight: 257 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The book discusses almost all aspects of spintronics-based neuromorphic computing, starting from a very basic level, and will be of interest to both spintronics and neuromorphic computing communities. The chapters also cover most simulation and experimental studies reported recently by researchers worldwide on this topic. The book includes an introductory chapter on nanomagnetism and spin physics and another on neural network algorithms (covering both the machine-learning and neuroscience aspects of these algorithms). These introductory chapters will help the readers build their background and truly appreciate the recent research results on spintronics-based neuromorphic computing, presented in the later chapters of the book. Various numerical simulation exercises are also provided in the book.

About the Author

Debanjan Bhowmik is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Bombay. Earlier, he was an Assistant Professor in the Indian Institute of Technology Delhi from 2017 to 2021, and an Assistant Professor in the Indian Institute of Technology Bombay from 2022 to 2023. He completed his Ph.D. from the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA, in 2015. He completed his B. Tech., Department of Electrical Engineering from the Indian Institute of Technology, Kharagpur, India, in 2010. His research areas are specialized energy-efficient hardware for artificial intelligence (neuromorphic computing), nanomagnetism and spintronics, computational neuroscience, and quantum computing for artificial intelligence/machine learning. He has published several research papers in international journals of repute in these areas.