3 papers
cs.AR2026
Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge
L. Niedermeier, J. L. Krichmar
Microcontroller units (MCU), which have an order of magnitude lower Size, Weight and Power (SWaP) than standard computers, makes them suitable for applications at the edge. Neuromo…
cs.NE2025
A Multi-Threading Kernel for Enabling Neuromorphic Edge Applications
Lars Niedermeier, Vyom Shah, Jeffrey L. Krichmar
Spiking Neural Networks (SNNs) have sparse, event driven processing that can leverage neuromorphic applications. In this work, we introduce a multi-threading kernel that enables ne…
cs.CV2025
STRMs: Spatial Temporal Reasoning Models for Vision-Based Localization Rivaling GPS Precision
Hin Wai Lui, Jeffrey L. Krichmar
This paper explores vision-based localization through a biologically-inspired approach that mirrors how humans and animals link views or perspectives when navigating their world. W…