![Neuromorphic Computing Systems for Industry 4.0](https://coverimages.igi-global.com/cover-images/covers/thumbnails/9781668465967.png) |
S. Dhanasekar (Department of ECE, Sri Eshwar College of Engineering, India), K. Martin Sagayam (Karunya Institute of Technology and Sciences, India), Surbhi Vijh (ASET, Amity University, Noida, India), Vipin Tyagi (Jaypee University of Engineering and Technology, India), Alex Norta (Tallinn University, Estonia)
Copyright © 2023. 377 pages.
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...
|