Brain-inspired hyperdimensional computing for ultra-efficient edge ai
Hyperdimensional Computing (HDC) is rapidly emerging as an attractive alternative to
traditional deep learning algorithms. Despite the profound success of Deep Neural Networks …
traditional deep learning algorithms. Despite the profound success of Deep Neural Networks …
Recent progress and development of hyperdimensional computing (hdc) for edge intelligence
Brain-inspired Hyperdimensional Computing (HDC) is an emerging framework in low-
energy designs for solving classification tasks at the edge. Unlike mainstream neural …
energy designs for solving classification tasks at the edge. Unlike mainstream neural …
Beyond von Neumann era: brain-inspired hyperdimensional computing to the rescue
Breakthroughs in deep learning (DL) continuously fuel innovations that profoundly improve
our daily life. However, DNNs overwhelm conventional computing architectures by their …
our daily life. However, DNNs overwhelm conventional computing architectures by their …
Algorithm-hardware co-design for efficient brain-inspired hyperdimensional learning on edge
Machine learning methods have been widely utilized to provide high quality for many
cognitive tasks. Running sophisticated learning tasks requires high computational costs to …
cognitive tasks. Running sophisticated learning tasks requires high computational costs to …
Robust and scalable Hyperdimensional computing with brain-like neural adaptations
J Wang, MAA Faruque - arXiv preprint arXiv:2311.07705, 2023 - arxiv.org
The Internet of Things (IoT) has facilitated many applications utilizing edge-based machine
learning (ML) methods to analyze locally collected data. Unfortunately, popular ML …
learning (ML) methods to analyze locally collected data. Unfortunately, popular ML …
Disthd: A learner-aware dynamic encoding method for hyperdimensional classification
The Internet of Things (IoT) has become an emerging trend that connects heterogeneous
devices and enables them with new capabilities. Many applications exploit machine …
devices and enables them with new capabilities. Many applications exploit machine …
Generic: highly efficient learning engine on edge using hyperdimensional computing
Hyperdimensional Computing (HDC) mimics the brain's basic principles in performing
cognitive tasks by encoding the data to high-dimensional vectors and employing non …
cognitive tasks by encoding the data to high-dimensional vectors and employing non …
Scalable edge-based hyperdimensional learning system with brain-like neural adaptation
In the Internet of Things (IoT) domain, many applications are running machine learning
algorithms to assimilate the data collected in the swarm of devices. Sending all data to the …
algorithms to assimilate the data collected in the swarm of devices. Sending all data to the …
Scalehd: Robust brain-inspired hyperdimensional computing via adapative scaling
Brain-inspired hyperdimensional computing (HDC) has demonstrated promising capability
in various cognition tasks such as robotics, bio-medical signal analysis, and natural …
in various cognition tasks such as robotics, bio-medical signal analysis, and natural …
Revisiting hyperdimensional learning for fpga and low-power architectures
Today's applications are using machine learning algorithms to analyze the data collected
from a swarm of devices on the Internet of Things (IoT). However, most existing learning …
from a swarm of devices on the Internet of Things (IoT). However, most existing learning …