2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.NE2025
Neuromorphic Astronomy: An End-to-End SNN Pipeline for RFI Detection Hardware
Nicholas J. Pritchard, Andreas Wicenec, Richard Dodson +2
Imminent radio telescope observatories provide massive data rates making deep learning based processing appealing while simultaneously demanding real-time performance at low-energy…
cs.SD2024★ 1 cited
Neurobench: DCASE 2020 Acoustic Scene Classification benchmark on XyloAudio 2
Weijie Ke, Mina Khoei, Dylan Muir
XyloAudio is a line of ultra-low-power audio inference chips, designed for in- and near-microphone analysis of audio in real-time energy-constrained scenarios. Xylo is designed aro…
cs.NE2024★ 2 cited
Micro-power spoken keyword spotting on Xylo Audio 2
Hannah Bos, Dylan R. Muir
For many years, designs for "Neuromorphic" or brain-like processors have been motivated by achieving extreme energy efficiency, compared with von-Neumann and tensor processor devic…