NAN ZHENG, Ph D, received a B. S. degree in Information Engineering from Shanghai Jiao Tong University, China, in 2011, and an M. S. and Ph D in Electrical Engineering from the University of Michigan, Ann Arbor, USA, in 2014 and 2018, respectively. His research interests include low-power hardware architectures, algorithms and circuit techniques with an emphasis on machine-learning applications.
PINAKI MAZUMDER, Ph D, is a professor in the Department of Electrical Engineering and Computer Science at The University of Michigan, USA. His research interests include CMOS VLSI design, semiconductor memory systems, CAD tools and circuit designs for emerging technologies including quantum MOS, spintronics, spoof plasmonics, and resonant tunneling devices.
2 Ebooks de Nan Zheng
Nan Zheng & Pinaki Mazumder: Learning in Energy-Efficient Neuromorphic Computing
Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book focuses on how to build energy-efficient …
EPUB
Inglés
DRM
€109.99
Nan Zheng & Pinaki Mazumder: Learning in Energy-Efficient Neuromorphic Computing
Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book focuses on how to build energy-efficient …
PDF
Inglés
DRM
€109.99