The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Three dimensional (3D) integration technology merged with neuromorphic computing system plays a significant role for the implementation of energy efficient advanced neurobiological architecture. This work explores a novel 3D neuromorphic system that utilizes the Through Silicon Via (TSV) interconnects to build the complicated hardware neural structure. It allows the ultra-high density integrated system...
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...
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...
This work details how a neuromorphic system is simulated with a 3D integrated electronic system. The neural system is modeled as a 3D integrated circuit to investigate a highly efficient neuromorphic computing system that ameliorates implementation issues induced by prior 2D circuital systems. A 3D neuronal model incorporating the Through Silicon Via (TSV) is constructed and the performance is simulated...
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...
Neurophysiological architecture using 3D integration technology offers a high device interconnection density as well as fast and energy efficient links among the neuron and synapses layers. In this paper, we propose to reconfigure the Through-Silicon-Vias (TSVs) to serve as the neuronal membrane capacitors that map the membrane electrical activities in a hybrid 3D neuromorphic system. We also investigate...
In this paper, we propose a saliency detection model for RGB-D images based on the contrasting features of color and depth within a Bayesian framework. The depth feature map is extracted based on superpixel contrast computation with spatial priors. We model the depth saliency map by approximating the density of depth-based contrast features using a Gaussian distribution. Similar to the depth saliency...
Neuromorphic computing is an emerging computing technology which utilizes very-large-scale integration (VLSI) technology to mimic neuro-biological architectures present in the nervous system. It promises the realization of parallel computing with extremely low power consumption. To fully take advantage of this computing technology, its scalability and complexity need to be extended beyond its current...
Neuromorphic computing is an emerging technology that describes the biological neural systems and implementation of its electrical model in complementary metal-oxide-semiconductor (CMOS) VLSI system. Three dimensional (3D) integration can be applied in hardware implementation of neuromorphic computing that provides high device interconnection density using fast and energy efficient links with excellent...
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...
Meteorological data visualization which regard as data visualization technology has an absolutely necessary place in the fields of data visualization in meteorological science and technology application. Using image data (different heights of isoline arrays) which provided by the province meteorological department to verify this visualization system. We design and development of the meteorological...
With the improvements in sensor technologies and image processing algorithms, computer vision has become a major tool for robots to recognize and gauge their surroundings. For instance, the Kinect sensor can be used as an excellent depth camera for indoor navigation. However, there exist situations that need recognition and spatial interpretation of the environment using limited hardware resources...
Electrical modeling of through silicon via (TSV) is very important for three dimensional (3D) system design and analysis. In this paper, we present our study on the impact of sidewall roughness on the TSV electrical performance in the ultra-broad band range. Our analysis shows that the root mean square height of the rough sidewall is comparable to the skin depth in extremely high frequency (> 20G...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.