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11/11/2021
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
This two-part comprehensive survey is devoted to a computing framework m...
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10/15/2021
HyperSeed: Unsupervised Learning with Vector Symbolic Architectures
Motivated by recent innovations in biologically-inspired neuromorphic ha...
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06/17/2021
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks
A change of the prevalent supervised learning techniques is foreseeable ...
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06/09/2021
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware
This article reviews recent progress in the development of the computing...
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03/25/2020
Commentaries on "Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception" [Science Robotics Vol. 4 Issue 30 (2019) 1-10
This correspondence comments on the findings reported in a recent Scienc...
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03/03/2020
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics
Recent advances in Deep Learning have led to a significant performance i...
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09/19/2019
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks
The deployment of machine learning algorithms on resource-constrained ed...
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06/01/2017
