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 …

Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

The advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors
has brought on new opportunities for applying both Deep and Spiking Neural Network …

Hyperdimensional computing is an emerging computational framework that takes inspiration
from attributes of neuronal circuits including hyperdimensionality, fully distributed …

Memorization is an essential functionality that enables today's machine learning algorithms
to provide a high quality of learning and reasoning for each prediction. Memorization gives …

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

With the continuous development of portable noninvasive human sensor technologies such
as brain–computer interfaces (BCI), multimodal emotion recognition has attracted increasing …

Recognizing the very size of the brain's circuits, hyperdimensional (HD) computing can
model neural activity patterns with points in a HD space, that is, with HD vectors. Key …

An accurate description of muscular activity plays an important role in the clinical diagnosis
and rehabilitation research. The electromyography (EMG) is the most used technique to …

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 …