I’ve been exploring the world of Spiking Neural Networks (SNNs) and I’m both fascinated and intrigued by their potential. SNNs are biologically inspired, more energy-efficient, and capable of processing information in a temporally dynamic way. But despite their advantages, they seem to be lagging behind traditional ANN-based models (like Transformers) in terms of scalability, training methods, and general-purpose applications.
So, I’m left wondering: do SNNs have a practical future beyond niche applications? Can they be used in real-world products (outside academia or defense)? Is it worth learning and building with them today, if I want to be early in something big? And are there any recent papers or startups doing something truly promising with SNNs?
I’d love to hear your thoughts, whether you’re deep in neuromorphic computing or just casually watching the space. Share your insights, and let’s explore the possibilities of SNNs together!