Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices, and models that contrast the pervasive von Neumann computer architecture. This …
Though neuromorphic computers have typically targeted applications in machine learning and neuroscience ('cognitive'applications), they have many computational characteristics …
M Davies - Nature Machine Intelligence, 2019 - nature.com
No one would accuse neuromorphic computing of lacking ambition. With a mission to decipher the multitude of secrets nature deploys to achieve unrivalled efficiency and …
S Furber - Journal of neural engineering, 2016 - iopscience.iop.org
Neuromorphic computing covers a diverse range of approaches to information processing all of which demonstrate some degree of neurobiological inspiration that differentiates them …
Modern computation based on von Neumann architecture is now a mature cutting-edge science. In the von Neumann architecture, processing and memory units are implemented …
M Xu, X Chen, Y Guo, Y Wang, D Qiu, X Du… - Advanced …, 2023 - Wiley Online Library
Neuromorphic computing has been attracting ever‐increasing attention due to superior energy efficiency, with great promise to promote the next wave of artificial general …
Neuromorphic computing gets ready for the (really) big time Page 1 news JUNE 2014 | VOL. 57 | NO. 6 | COMMUNICATIONS OF THE ACM 13 IMA GE COUR TE S Y OF F A CET S PROJE CT …
B Rajendran, F Alibart - … on Emerging and Selected Topics in …, 2016 - ieeexplore.ieee.org
In this paper, we review some of the novel emerging memory technologies and how they can enable energy-efficient implementation of large neuromorphic computing systems. We …
Dmitri Strukov (an electrical engineer, University of California at Santa Barbara), Giacomo Indiveri (an electrical engineer, University of Zurich), Julie Grollier (a material physicist, Unite …