SynSense is a Nueromorphic startup founded in 2018 with offices in Zurich and China. We have two family of SNN processors: Xylo for low dimensional signal processing and Speck for vision processing. Both HWs come with open source and user friendly python-based librarys: Rockpool and sinabs that have been co designed with HWs. 

In an initial tutorial I will present the pipeline (from design and training of the network to deployment on HW) and the goal is to create a workgroup with interested people to build SNN applications.

SynSense opensource librarys :

• Rockpool
• Sinabs
• Tonic

example datasets for audio classification with Xylo:

• https://dcase.community/challenge2016/task-sound-event-detection-in-synthetic-audio
• https://dcase.community/challenge2023/task-low-complexity-acoustic-scene-classification