Intelligence Processing Units Accelerate Neuromorphic Learning

Intelligence Processing Units Accelerate Neuromorphic Learning

19 November 2022

Wei D. Lu

Jason K. Eshraghian

Papers citing "Intelligence Processing Units Accelerate Neuromorphic Learning"

7 / 7 papers shown

Title
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales Charlotte Frenkel Giacomo Indiveri 32 99 0 20 Aug 2022
BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks Guangzhi Tang Neelesh Kumar Ioannis E. Polykretis Konstantinos Michmizos 26 6 0 27 Oct 2021
BindsNET: A machine learning-oriented spiking neural networks library in Python Hananel Hazan D. J. Saunders Hassaan Khan Darpan T. Sanghavi H. Siegelmann R. Kozma AI4CE 43 230 0 04 Jun 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 135 484 0 26 Mar 2018
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 86 3,002 0 27 Mar 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 281 18,300 0 27 May 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing S. K. Esser P. Merolla John V. Arthur A. Cassidy R. Appuswamy ... Pallab Datta A. Amir B. Taba M. Flickner D. Modha 3DH 38 715 0 28 Mar 2016

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