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Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

Manan Suri (Herausgeber)

Buch | Hardcover

210 Seiten

2017 | 1st ed. 2017
Springer, India, Private Ltd (Verlag)
978-81-322-3701-3 (ISBN)

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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.

Dr. Manan Suri (Member, IEEE) is an Assistant Professor with the Department of Electrical Engineering, Indian Institute of Technology – Delhi (IIT-Delhi). He was born in India in 1987. He received his PhD in Nanoelectronics and Nanotechnology from Institut Polytechnique de Grenoble (INPG), France in 2013. He obtained his M.Eng. (2010) and B.S (2009) in Electrical & Computer Engineering from Cornell University, USA. Prior to joining IIT-Delhi, he worked as a Senior Scientist with NXP Semiconductors, Belgium. His research interests include Non-Volatile Memory Technology, Unconventional Computing (Machine-Learning/Neuromorphic), and Semiconductor Devices. He holds several granted and filed US, European and Indian patents. He has authored book chapters and more than 30 papers in reputed international conferences and journals. He serves as committee member and reviewer for IEEE journals/conferences. He is a recipient of several prestigious national and international honors such as the IEI Young Engineers Award, Kusuma Outstanding Young Faculty Fellowship, and Laureat du Prix (NSF-France).

Phase Change Memory for Neuromorphics .- Filamentary resistive memory for Neuromorphics.- Metal oxide based memory for Neuromorphics.- Nano Organic Transistors for Neuromorphics.- Neuromorphic System design.- Neuromorphic System and algorithms optimization.- Memristor Technology for Neuromorphics.- PCMO based devices for Neuromorphics.- Resistive Memory for Neuromorphics.- Overall Perspective on Neuromorphic Hardware.

Erscheinungsdatum	11.02.2017
Reihe/Serie	Cognitive Systems Monographs ; 31
Zusatzinfo	123 Illustrations, black and white; XIII, 210 p. 123 illus.
Verlagsort	New Delhi
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Software Entwicklung ► User Interfaces (HCI)
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Low-power Cognitive Hardware • memristor • Neuromorphic Hardware • Resistive Memory Technology • Supervised and Unsupervised Learning
ISBN-10	81-322-3701-3 / 8132237013
ISBN-13	978-81-322-3701-3 / 9788132237013
Zustand	Neuware