Hyperdimensional (HD) computing is built upon its unique data type referred to as
hypervectors. The dimension of these hypervectors is typically in the range of tens of …

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

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 …

Many nations are adopting smart city applications, which boost residents' satisfaction with
their living conditions and reduce pollution by better-using people's time and resources …

Brain-Inspired hyperdimensional computing is a quickly emerging alternative machine-
learning concept. Hypervectors with thousands of dimensions represent real-world data …

Brain-inspired architectures are gaining increased attention, especially for edge devices to
perform cognitive tasks utilizing its limited energy budget and computing resources …

The biosignals consist of several sensors that collect time series information. Since time
series contain temporal dependencies, they are difficult to process by existing machine …

Arithmetic plays a major role in a computer? s performance and efficiency. Building new
computing platforms supported by the traditional binary arithmetic and silicon-based …

Hyperdimensional computing (HDC) has emerged as an alternative lightweight learning
solution to deep neural networks. A key characteristic of HDC is the great extent of …

Brain-inspired hyperdimensional (HD) computing emulates cognition by computing with
long-size vectors. HD computing consists of two main modules: encoder and associative …