2 papers
cs.NE2026
Combining Convolution and Delay Learning in Recurrent Spiking Neural Networks
Lúcio Folly Sanches Zebendo, Eleonora Cicciarella, Michele Rossi
Spiking neural networks (SNNs) are rapidly gaining momentum as an alternative to conventional artificial neural networks in resource constrained edge systems. In this work, we cont…
eess.SP2023
Accurate Calibration of Power Measurements from Internal Power Sensors on NVIDIA Jetson Devices
Neda Shalavi, Aria Khoshsirat, Marco Stellini +2
Power efficiency is a crucial consideration for embedded systems design, particularly in the field of edge computing and IoT devices. This study aims to calibrate the power measure…