Hyperdimensional computing (HD), also known as vector symbolic architectures (VSA), is a
framework for computing with distributed representations by exploiting properties of random …

This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …

Hyperdimensional Computing (HDC) is a neuro-inspired computing framework that exploits
high-dimensional random vector spaces. HDC uses extremely parallelizable arithmetic to …

Hyperdimensional computing (HDC) is an emerging learning paradigm that computes with
high dimensional binary vectors. There is an active line of research on HDC in the …

Hyperdimensional Computing (HDC) is a neurally-inspired computation model working
based on the observation that the human brain operates on high-dimensional …

This article reviews recent progress in the development of the computing framework vector
symbolic architectures (VSA)(also known as hyperdimensional computing). This framework …

This two-part comprehensive survey is devoted to a computing framework most commonly
known under the names Hyperdimensional Computing and Vector Symbolic Architectures …

Vector space models for symbolic processing that encode symbols by random vectors have
been proposed in cognitive science and connectionist communities under the names Vector …

Computing with high-dimensional (HD) vectors, also referred to as hypervectors, is a brain-
inspired alternative to computing with scalars. Key properties of HD computing include a …

Hyperdimensional computing (HDC) is an emerging computing paradigm that imitates the
brain's structure to offer a powerful and efficient processing and learning model. In HDC, the …