Neuromorphic Computing Systems for Industry 4.0
Published on 19. July 2023
Book
Hardback
300 pages
978-1-6684-6596-7 (ISBN)
Description
As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery-powered and deeply embedded devices are challenged to perform AI functions such as computer vision and voice recognition. Microchip Technology Inc., via its Silicon Storage Technology (SST) subsidiary, is addressing this challenge by significantly reducing power with its analog memory technology, the memBrain Memory Solution. The memBrain solution is being adopted by today's companies looking to advance machine learning capacities in edge devices. Due to its ability to significantly reduce power, this analog in-memory computer solution is ideal for an AI application. Neuromorphic Computing Systems for Industry 4.0 covers the available literature in the field of neural computing-based microchip technology. It provides further research opportunities in this dynamic field. Covering topics such as emotion recognition, biometric authentication, and neural network protection, this premier reference source is an essential resource for technology developers, computer scientists, engineers, students and educators of higher education, librarians, researchers, and academicians.
More details
Language
English
Place of publication
Hershey
United States
Target group
Professional and scholarly
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 26 mm
Weight
959 gr
ISBN-13
978-1-6684-6596-7 (9781668465967)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
S. Dhanasekar | K. Martin Sagayam | Surbhi Vijh
Neuromorphic Computing Systems for Industry 4.0
Book
07/2023
Engineering Science Reference
€261.60
Withdrawn from sale
Persons
K. Martin Sagayam received his PhD in Electronics and Communication Engineering (Signal image processing using machine learning algorithms) from Karunya University. He received Master of Engineering in Communication Systems from Anna University, Chennai and received Bachelor of Enigeering in Electronics and Communication Engineering from Anna University. Currently, he is working as Assistant Professor in the Department of ECE, Karunya Institute Technology and Sciences, Coimbatore, India. He has authored/ co-authored more than 30 referred International Journals. He has also presented more than 20 papers in reputed international and national conferences. He has authored 10 book chapters with reputed international publishers like Elsevier, Springer, IGI Global and CRC press. He has editor in the reputed book and book series with reputed international publishers like IGI Global, and CRC Press. He has reviewed research articles from the journal of Signal, Image and Video Processing, Intelligent Decision Technologies, International Journal of Engineering Research & Technology, Pattern analysis and its applications and Informing Science Institute. He is an active member of professional bodies such as Engineering and Scientific Research Groups, International Society of Promising Computer Engineers, Copernicus, Scientific Engineering Research Corporation, International Association of Computer Science and Information Technology, International Association of Engineers, Indian Society of Electronics and Communication Engineering and Orcid. His area of interest includes Communication systems, signal and image processing, machine learning and virtual reality.