3 papers
cs.AR2026
XL-HD: Extended Learning in Hyperdimensional Computing via Deterministic Projections for In-Memory Accelerators
Sabrina Hassan Moon, Abu Kaisar Mohammad Masum, Sercan Aygun +1
Hyperdimensional computing (HDC) is a promising approach for energy-efficient edge machine learning (ML), where low latency, low power, and tight memory budgets are essential. Howe…
cs.LG2025
Enhancing Biologically Inspired Hierarchical Temporal Memory with Hardware-Accelerated Reflex Memory
Pavia Bera, Sabrina Hassan Moon, Jennifer Adorno +2
The rapid expansion of the Internet of Things (IoT) generates zettabytes of data that demand efficient unsupervised learning systems. Hierarchical Temporal Memory (HTM), a third-ge…
cs.AR2024
A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection
Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu +2
In this work, we present ODHD, an algorithm for outlier detection based on hyperdimensional computing (HDC), a non-classical learning paradigm. Along with the HDC-based algorithm,…