2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.NE2024
Deployment Pipeline from Rockpool to Xylo for Edge Computing
Peng Zhou, Dylan R. Muir
Deploying Spiking Neural Networks (SNNs) on the Xylo neuromorphic chip via the Rockpool framework represents a significant advancement in achieving ultra-low-power consumption and…
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…