Results 41 to 50 of about 248,231 (183)

An Analog Architecture and Algorithm for Efficient Convolutional Neural Network Image Computation

Journal of Low Power Electronics and Applications
This article presents an energy-efficient IC architecture implementation of an analog image-processing ML system, where the primary issue is analog architecture development for existing energy-efficient analog computing devices.
Jennifer Hasler, Praveen Raj Ayyappan
doaj   +1 more source

Analog computing by Brewster effect

, 2016
Optical computing has emerged as a promising candidate for real-time and parallel continuous data processing. Motivated by recent progresses in metamaterial-based analog computing [Science 343, 160 (2014)], we theoretically investigate realization of two-
AbdollahRamezani, Sajjad, Khavasi, Amin, Youssefi, Amir, Zangeneh-Nejad, Farzad   +3 more
core   +1 more source

Macromodelling for analog design and robustness boosting in bio-inspired computing models [PDF]

, 2005
Setting specifications for the electronic implementation of biological neural-network-like vision systems on-chip is not straightforward, neither it is to simulate the resulting circuit.
Cuadri Carvajo, Jorge, Liñán Cembrano, Gustavo, Roca Moreno, Elisenda, Rodríguez Vázquez, Ángel Benito   +3 more
core   +1 more source

A mixed-signal oscillatory neural network for scalable analog computations in phase domain

Neuromorphic Computing and Engineering, 2023
Digital electronics based on von Neumann’s architecture is reaching its limits to solve large-scale problems essentially due to the memory fetching.
Corentin Delacour, Stefania Carapezzi, Gabriele Boschetto, Madeleine Abernot, Thierry Gil, Nadine Azemard, Aida Todri-Sanial   +6 more
doaj   +1 more source

Design of gates for quantum computation: the NOT gate [PDF]

, 1996
We offer an alternative to the conventional network formulation of quantum computing. We advance the analog approach to quantum logic gate/circuit construction.
Hotaling, Steven P., Mozyrsky, Dima, Privman, Vladimir   +2 more
core   +2 more sources

Information Dimension Matching in Memristive Computing System for Analog Deployment of Deep Neural Networks

Advanced Electronic Materials
Memristor, with the ability of analog computing, is widely investigated for improving the computing efficiency of deep neural networks (DNNs) deployment. However, how to fully take advantage of the analog computing ability of memristive computing system (
Zhe Feng, Zuheng Wu, Xu Wang, Xiuquan Fang, Xumeng Zhang, Jianxun Zou, Jian Lu, Wenbin Guo, Xing Li, Tuo Shi, Zuyu Xu, Yunlai Zhu, Fei Yang, Yuehua Dai, Qi Liu   +14 more
doaj   +1 more source

Six networks on a universal neuromorphic computing substrate [PDF]

, 2013
In this study, we present a highly configurable neuromorphic computing substrate and use it for emulating several types of neural networks. At the heart of this system lies a mixed-signal chip, with analog implementations of neurons and synapses and ...
Andreas eGrübl, Daniel eBrüderle, Eric eMüller, Johannes eSchemmel, Karlheinz eMeier, Michael eSchmuker, Michael eSchmuker, Mihai A. ePetrovici, Paul eMüller, Sebastian eJeltsch, Thomas ePfeil   +10 more
core   +3 more sources

Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems

Journal of Low Power Electronics and Applications, 2019
This discussion develops a theoretical analog architecture framework similar to the well developed digital architecture theory. Designing analog systems, whether small or large scale, must optimize their architectures for energy consumption.
Jennifer Hasler
doaj   +1 more source

Analog nanophotonic computing going practical: silicon photonic deep learning engines for tiled optical matrix multiplication with dynamic precision

Nanophotonics, 2023
Analog photonic computing comprises a promising candidate for accelerating the linear operations of deep neural networks (DNNs), since it provides ultrahigh bandwidth, low footprint and low power consumption computing capabilities.
Giamougiannis George, Tsakyridis Apostolos, Moralis-Pegios Miltiadis, Pappas Christos, Kirtas Manos, Passalis Nikolaos, Lazovsky David, Tefas Anastasios, Pleros Nikos   +8 more
doaj   +1 more source

Stochastic Memristive Devices for Computing and Neuromorphic Applications

, 2013
Nanoscale resistive switching devices (memristive devices or memristors) have been studied for a number of applications ranging from non-volatile memory, logic to neuromorphic systems.
Choi, Shinhyun, Gaba, Siddharth, Lu, Wei, Sheridan, Patrick, Zhou, Jiantao   +4 more
core   +1 more source