2 papers
cs.LG2022
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware
Peyton Chandarana, Mohammadreza Mohammadi, James Seekings +1
As the technology industry is moving towards implementing tasks such as natural language processing, path planning, image classification, and more on smaller edge computing devices…
cs.NE2021
An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks
Peyton Chandarana, Junlin Ou, Ramtin Zand
Current state-of-the-art methods of image classification using convolutional neural networks are often constrained by both latency and power consumption. This places a limit on the…