Traditional deep learning is energy-hungry. In 2026, neuromorphic chips like Intel's Loihi 3 are changing the game by mimicking the brain's energy efficiency. Python libraries like Lava and Norse are the bridges enabling developers to write SNN code.
Why SNNs?
Spiking Neural Networks process information only when a "spike" occurs, drastically reducing power consumption for edge AI devices.