2 papers
eess.SP2026
COMET: Co-Optimization of a CNN Model using Efficient-Hardware OBC Techniques
Boyang Chen, Mohd Tasleem Khan, George Goussetis +4
Convolutional Neural Networks (CNNs) achieve remarkable accuracy in vision tasks, yet their computational complexity challenges low-power edge deployment. In this work, we present…
cs.AR2025
Hardware Efficient Accelerator for Spiking Transformer With Reconfigurable Parallel Time Step Computing
Bo-Yu Chen, Tian-Sheuan Chang
This paper introduces the first low-power hardware accelerator for Spiking Transformers, an emerging alternative to traditional artificial neural networks. By modifying the base Sp…