Suggestion: Add "NLU: An Adaptive, Small-Footprint, Low-Power Neural Learning Unit for Edge and IoT Applications" to Hardware Optimization #2
Description
Hi! I’d like to suggest adding my recent journal paper to the Hardware Optimization section:
Title: NLU: An Adaptive, Small-Footprint, Low-Power Neural Learning Unit for Edge and IoT Applications
Authors: Rostami, et al.
Abstract: This paper presents the Neural Learning Unit (NLU), a tiny, low-power, and flexible hardware accelerator designed to enable real-time training of neural networks directly on edge devices, like wearables or sensors.
Link: [IEEE OJCAS/publisher URL]
I believe it could be valuable for the community interested in efficient neural hardware for edge and IoT. Thank you!