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 …

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 …

Brain-inspired Hyperdimensional Computing (HDC) is an emerging framework in low-
energy designs for solving classification tasks at the edge. Unlike mainstream neural …

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 …

Epilepsy is a highly prevalent chronic neurological disorder with great negative impact on
patients' daily lives. Despite this there is still no adequate technological support to enable …

The HyperDimensional Computing (HDC) Machine Learning (ML) paradigm is highly
interesting for applications involving continuous, semi-supervised learning for long-term …

This paper addresses the clustering of data in the hyperdimensional computing (HDC)
domain. In prior work, an HDC-based clustering framework, referred to as HDCluster, has …

Wearable IoT devices and novel continuous monitoring algorithms are essential
components of the healthcare transition from reactive interventions focused on symptom …

Hyperdimensional computing (HDC) is a brain-inspired computational framework that
exploits hypervectors as an alternative to computing with numbers. In-memory computing …

The healthcare landscape is moving from the reactive interventions focused on symptoms
treatment to a more proactive prevention, from one-size-fits-all to personalized medicine …