Neuromorphic Computing Systems for Industry 4.0

K. Martin Sagayam

ISBN 10: 1668465973 / ISBN 13: 9781668465974

Published by IGI Global, 2023

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9781668465974

Bibliographic Details

• Title: Neuromorphic Computing Systems for Industry 4.0
• Publisher: IGI Global
• Publication Date: 2023
• Language: English
• ISBN 10: 1668465973
• ISBN 13: 9781668465974
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 22D millimeters 254 millimeters width by 178 millimeters height by 22 millimeters depth
• Weight: 764 grams

About this title

Synopsis

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.