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Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computi

Publication: Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing. Published Mar 28, 2016.

Research & Papers
arxiv.orgPublished Mar 28, 2016
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Overview

Publication: Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing. Published Mar 28, 2016.

Publication information

Publication title
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Authors
Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J. Berg, Jeffrey L. McKinstry, Timothy Melano, Davis R. Barch, Carmelo di Nolfo, Pallab Datta, Arnon Amir, Brian Taba, Myron D. Flickner, Dharmendra S. Modha
Published
Mar 28, 2016
Last publication revision
May 24, 2016
Venue / journal
PNAS 113 (2016) 11441-11446
Subject areas
cs.NE
DOI
10.1073/pnas.1604850113 ↗
Publication source
arxiv.org · abs/1603.08270v2 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/1603.08270 ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

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github.com

the official implementation of the paper “Re(visiting) Time Series Foundation Models in Finance”.

GitHub stars
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Language
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Code license
Apache-2.0
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