1 code implementation • 24 Nov 2023 • Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun, Richard Dodson
This work demonstrates the viability of SNNs as a promising avenue for machine-learning-based RFI detection in radio telescopes by establishing a minimal performance baseline on traditional and nascent satellite-based RFI sources and is the first work to our knowledge to apply SNNs in astronomy.
no code implementations • 14 Apr 2023 • Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun, Richard Dodson
In particular, spiking neural networks hold the potential to advance artificial intelligence as the basis of third-generation neural networks.
2 code implementations • 24 Feb 2017 • Chen Wu, Rodrigo Tobar, Kevin Vinsen, Andreas Wicenec, Dave Pallot, Baoqiang Lao, Ruonan Wang, Tao An, Mark Boulton, Ian Cooper, Richard Dodson, Markus Dolensky, Ying Mei, Feng Wang
The Data Activated Liu Graph Engine - DALiuGE - is an execution framework for processing large astronomical datasets at a scale required by the Square Kilometre Array Phase 1 (SKA1).
Distributed, Parallel, and Cluster Computing Instrumentation and Detectors