Cellular Automata Can Reduce Memory Requirements of Collective-State Computing

7 October 2020

Papers citing "Cellular Automata Can Reduce Memory Requirements of Collective-State Computing"

7 / 7 papers shown

Title
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture Zishen Wan Che-Kai Liu Hanchen Yang Ritik Raj Chaojian Li ... Yingyan Celine Lin Mohamed Ibrahim Jan M. Rabaey Tushar Krishna A. Raychowdhury 89 9 0 20 Sep 2024
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning Heng Zhang Danilo Vasconcellos Vargas AI4CE 68 22 0 27 Jul 2023
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations Denis Kleyko D. Rachkovskij Evgeny Osipov Abbas Rahimi 157 127 0 11 Nov 2021
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures Evgeny Osipov Sachin Kahawala D. Haputhanthri Thimal Kempitiya Daswin De Silva D. Alahakoon Denis Kleyko 123 26 0 15 Oct 2021
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware Denis Kleyko Mike Davies E. P. Frady P. Kanerva Spencer J. Kent ... Evgeny Osipov J. Rabaey D. Rachkovskij Abbas Rahimi Friedrich T. Sommer 107 61 0 09 Jun 2021
Perceptron Theory Can Predict the Accuracy of Neural Networks Denis Kleyko A. Rosato E. P. Frady Massimo Panella Friedrich T. Sommer GNN 66 10 0 14 Dec 2020
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware Denis Kleyko E. P. Frady Mansour Kheffache Evgeny Osipov 103 37 0 01 Jun 2017