In recent times, a plethora of hardware accelerators have been put forth for graph learning
applications such as vertex classification and graph classification. However, previous works …

Drawing inspiration from the outstanding learning capability of our human brains,
Hyperdimensional Computing (HDC) emerges as a novel computing paradigm, and it …

This paper presents a quantum algorithm for efficiently decoding hypervectors, a crucial
process in extracting atomic elements from hypervectors-an essential task in …

Introduction Brain-inspired computing has become an emerging field, where a growing
number of works focus on developing algorithms that bring machine learning closer to …

Due to the rapidly evolving landscape of cybersecurity, the risks in securing cloud networks
and devices are attesting to be an increasingly prevalent research challenge. Reinforcement …

Processing In-Memory (PIM) is a data-centric computation paradigm that performs
computations inside the memory, hence eliminating the memory wall problem in traditional …

Integrating deep learning with Reinforcement Learning (RL) results in algorithms that
achieve human-like learning in complex yet unknown environments via a process of trial …