Looking for practitioner input on SNN vs ML engineering

[bth23]

Hi everyone,
I’m working on a Master’s thesis about the practical engineering differences between Spiking Neural Networks and traditional ML models, especially around integration, deployment, and maintainability.

If you’ve worked with SNNs or ML systems, I’d be very grateful for your input in this 4-minute anonymous survey:

https://forms.gle/tJFJoysHhH7oG5mm7

I’ll share a summary of the insights with the community once the study is done.
Thanks a lot for your help!