1 citations · 1 across the 2 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2020
Nanoscale plasticity and neuromorphic dynamics in silicon suboxide RRAM
Mark Buckwell, Wing Hung Ng, Daniel John Mannion +3
Resistive random-access memories, also known as memristors, whose resistance can be modulated by the electrically driven formation and disruption of conductive filaments within an…
cs.ET2020★ 1 cited
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
Adnan Mehonic, Abu Sebastian, Bipin Rajendran +3
Machine learning, particularly in the form of deep learning, has driven most of the recent fundamental developments in artificial intelligence. Deep learning is based on computatio…
cs.ET2019
Committee machines -- a universal method to deal with non-idealities in memristor-based neural networks
D. Joksas, P. Freitas, Z. Chai +7
Artificial neural networks are notoriously power- and time-consuming when implemented on conventional von Neumann computing systems. Consequently, recent years have seen an emergen…