Search Results for author: Richard Dodson

Found 3 papers, 2 papers with code

RFI Detection with Spiking Neural Networks

1 code implementation24 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.

Astronomy

A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks

no code implementations14 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.

DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge

2 code implementations24 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

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