Undergraduate explores career potential of emerging neural network technologies like SNNs and Liquid Neural Networks amid questions about mainstream adoption.

Student questions whether Spiking Neural Networks and neuromorphic computing represent worthwhile areas of study for undergraduates

Discussion centers on why these alternative neural network architectures haven't achieved widespread mainstream adoption despite their theoretical promise

Inquiry seeks guidance on whether learning these technologies and building projects around them could provide valuable skills for future development