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Scaling down the transistor to gain more computation power will eventually reach the unsurmountable physical limitation. Neuromorphic Computing is a novel and promising computing scheme emulating the nervous structure and data processing methodology of a human brain. This paper presents the comparison between the conventional Von Neumann architecture and the neuromorphic computing architecture. We...
Surveillance cameras have been widely used in different scenes. Accordingly, a demanding need is to recognize a person under different cameras, which is called person re-identification. This topic has gained increasing interests in computer vision recently. However, less attention has been paid to video-based approaches, compared with image-based ones. Two steps are usually involved in previous approaches,...
3D integration technology offers a near term strategy for bypassing Moore's Law. Applying 3D integration to neuromorphic computing (NC) could provide a low power consumption, high-connectivity, and massively parallel processed system that can accommodate high demand computational tasks. This paper proposes a novel analog spiking nanoscale 3D NC system, wherein both neurons and synapses are stacked...
Three-dimensional (3D) integrated circuits (ICs) offer a promising near-term solution for pushing beyond Moore's Law because of their compatibility with current technology while providing high system speed, high density, massively parallel processing, low power consumption, and a small footprint. In this paper, a novel 3D neuromorphic IC architecture combining monolithic 3D integration and vertical...
Neuromorphic computation is recognized as a break-through technology which is very energy efficient and has a huge potential for significant contribution in hardware architecture using integrated circuit technology. Due to the huge parallelism between the neuron layers, hardware implementation of neuromorphic system using three dimensional (3D) integration could provide a sustainable and promising...
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