Hyperdimensional computing: a framework for stochastic computation and symbolic AI

Hyperdimensional computing: a framework for stochastic computation and symbolic AI

Abstract Hyperdimensional Computing (HDC), also known as Vector Symbolic Architectures (VSA), is a neuro-inspired computing framework that exploits high-dimensional random vector spaces. HDC uses extremely parallelizable arithmetic to provide computational solutions that balance accuracy, efficiency...

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Bibliographic Details
Main Authors: Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau, Alex Veidenbaum
Format: Article
Language:English
Published: SpringerOpen 2024-10-01
Series:Journal of Big Data
Subjects:
Hyperdimensional computing
Vector symbolic architectures
Basis hypervectors
Graph classification
Dynamic hash table
Online Access:https://doi.org/10.1186/s40537-024-01010-8
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https://doi.org/10.1186/s40537-024-01010-8

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