Memristors—From in‐memory computing, deep learning acceleration, and spiking neural networks to the future of neuromorphic and bio‐inspired computing

A Mehonic, A Sebastian, B Rajendran… - Advanced Intelligent …, 2020 - Wiley Online Library
Machine learning, particularly in the form of deep learning (DL), has driven most of the
recent fundamental developments in artificial intelligence (AI). DL is based on computational …

[引用][C] Memristors--from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing

A Mehonic, A Sebastian, B Rajendran… - Advanced Intelligent …, 2020 - kclpure.kcl.ac.uk
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks,
to the Future of Neuromorphic and Bio-inspired Computing — King's College London Skip to …

Memristors--from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing

A Mehonic, A Sebastian, B Rajendran… - arXiv preprint arXiv …, 2020 - arxiv.org
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 …

Memristors—From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing

A Mehonic, S Abu, B Rajendran… - Advanced …, 2020 - search.proquest.com
Abstract Machine learning, particularly in the form of deep learning (DL), has driven most of
the recent fundamental developments in artificial intelligence (AI). DL is based on …

Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing

A Mehonic, A Sebastian, B Rajendran… - Advanced Intelligent …, 2020 - cir.nii.ac.jp
抄録< jats: sec>< jats: label/>< jats: p> Machine learning, particularly in the form of deep
learning (DL), has driven most of the recent fundamental developments in artificial …

Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing

A Mehonic, A Sebastian, B Rajendran… - Advanced Intelligent …, 2020 - discovery.ucl.ac.uk
Machine learning, particularly in the form of deep learning (DL), has driven most of the
recent fundamental developments in artificial intelligence (AI). DL is based on computational …

[PDF][PDF] Memristors—From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired …

A Mehonic, A Sebastian, B Rajendran, O Simeone… - 2020 - scholar.archive.org
Three factors are currently driving the main developments in artificial intelligence (AI):
availability of vast amounts of data, continuous growth in computing power, and algorithmic …

Memristors--from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing

A Mehonic, A Sebastian, B Rajendran… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Abstract 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 …

[PDF][PDF] Memristors—From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired …

A Mehonic, A Sebastian, B Rajendran, O Simeone… - 2020 - researchgate.net
Three factors are currently driving the main developments in artificial intelligence (AI):
availability of vast amounts of data, continuous growth in computing power, and algorithmic …

[PDF][PDF] Memristors—From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired …

A Mehonic, A Sebastian, B Rajendran, O Simeone… - 2020 - researchgate.net
Three factors are currently driving the main developments in artificial intelligence (AI):
availability of vast amounts of data, continuous growth in computing power, and algorithmic …