Results 211 to 220 of about 7,322 (252)

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform. [PDF]

Nanophotonics
Manuylovich E, Stoliarov D, Saad D, Turitsyn SK.   +3 more
europepmc   +1 more source

Neuromorphic Computing Primitives Using Polymer-Networked Nanoparticles. [PDF]

J Phys Chem C Nanomater Interfaces
Zhao Y, Wei X, Hernandez R.
europepmc   +1 more source

Neuromorphic Computing for Graph Analytics

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design
openaire   +1 more source

Neuromorphic Computing [PDF]

International Journal on Advanced Computer Theory and Engineering
Neuromorphic computing represents acutting-edge approach to computer engineering, inspiredby the architecture and functionality of the human brainand nervous system. Unlike traditional computingparadigms, neuromorphic computing seeks to emulatethe parallel processing and distributed memorycapabilities of biological neural networks.The need for ...
Amit Jain Biswal, Surendra Majhi, Smruti Ranjan Bhadra   +2 more
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Photonics for Neuromorphic Computing

2018 European Conference on Optical Communication (ECOC), 2018
An emerging field at the nexus of photonics/neuroscience, neuromorphic photonics combines the advantages of optics/electronics. In this tutorial, we will look at challenges of photonic information processing, describe photonic neural-network approaches, and offer a glimpse at this field's future.
Paul R. Prucnal, Alexander N. Tait, Mitchell A. Nahmias, Thomas Ferreira de Lima, Hsuan-Tung Peng, Bhavin J. Shastri   +5 more
openaire   +1 more source

Neuromorphic computing at scale

Nature
Neuromorphic computing is a brain-inspired approach to hardware and algorithm design that efficiently realizes artificial neural networks. Neuromorphic designers apply the principles of biointelligence discovered by neuroscientists to design efficient computational systems, often for applications with size, weight and power constraints.
Dhireesha Kudithipudi, Catherine Schuman, Craig M. Vineyard, Tej Pandit, Cory Merkel, Rajkumar Kubendran, James B. Aimone, Garrick Orchard, Christian Mayr, Ryad Benosman, Joe Hays, Cliff Young, Chiara Bartolozzi, Amitava Majumdar, Suma George Cardwell, Melika Payvand, Sonia Buckley, Shruti Kulkarni, Hector A. Gonzalez, Gert Cauwenberghs, Chetan Singh Thakur, Anand Subramoney, Steve Furber   +22 more
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Memristor in neuromorphic computing

2012 IEEE International SOC Conference, 2012
As technology scaling down becomes more and more difficult, the traditional von Neumann computer architecture cannot satisfy people's unlimited demand on high performance computation. Consequently, the neuromorphic hardware systems providing the capabilities of biological perception and information processing at compact and energy-efficient platform ...
openaire   +1 more source

Matrix multiplication by neuromorphic computing

Neurocomputing, 2021
Abstract With increased requirements of processing power in many computing applications, and the consequent huge increases in resource costs including electrical power consumption, there is a push to find alternative computing architectures that achieve high speeds but require less resources.
Sheril Lawrence, Aishwarya Yandapalli, Shrisha Rao 0001   +2 more
openaire   +1 more source

Neuromorphic reservoir computing

Chaos: An Interdisciplinary Journal of Nonlinear Science
Reservoir computing has emerged as a promising machine-learning approach to prediction and control of complex nonlinear dynamical systems, rendering it important to explore schemes of physical realization. We articulate two frameworks of physical reservoir computing based on the electrophysiological mechanisms in mammalian neuronal networks.
Shirin Panahi, Zheng-Meng Zhai, Mulugeta Haile, Ying-Cheng Lai   +3 more
openaire   +2 more sources

Insect-inspired neuromorphic computing

Current Opinion in Insect Science, 2018
The steady improvement in the performance of computing systems seen for many decades is levelling off as the miniaturization of semiconducting technology approaches the atomic limit, facing severe physical and technological issues. Neuromorphic computing is an emerging solution which makes use of silicon technology in a different way, inline with the ...
Dalgaty, Thomas, Vianello, Elisa, de Salvo, Barbara, Casas, Jérome   +3 more
openaire   +2 more sources