Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices (Paperback, Softcover reprint of the original 1st ed. 2017)

This book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices. Special emphasis is given to leading works in hybrid low-power CMOS-Nanodevice design. The book offers readers a bidirectional (top-down and bottom-up) perspective on designing efficient bio-inspired hardware. At the nanodevice level, it focuses on various flavors of emerging resistive memory (RRAM) technology. At the algorithm level, it addresses optimized implementations of supervised and stochastic learning paradigms such as: spike-time-dependent plasticity (STDP), long-term potentiation (LTP), long-term depression (LTD), extreme learning machines (ELM) and early adoptions of restricted Boltzmann machines (RBM) to name a few. The contributions discuss system-level power/energy/parasitic trade-offs, and complex real-world applications. The book is suited for both advanced researchers and students interested in the field.

General

Imprint:	Springer, India, Private Ltd
Country of origin:	India
Series:	Cognitive Systems Monographs, 31
Release date:	July 2018
First published:	2017
Editors:	Manan Suri
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	210
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-81-322-3890-4
Categories:	Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Other manufacturing technologies > Precision instruments manufacture > General Promotions
LSN:	81-322-3890-7
Barcode:	9788132238904

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