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Technology

Edge Inference with Spiking Neural Networks

Quick fact

A single spike in an SNN can carry all necessary information, and these spikes are only sent when needed, making SNNs up to 100x more energy-efficient than traditional neural networks for certain edge tasks.

Why this is interesting

Imagine your smartphone recognizing your voice or detecting a crash in your car, but using so little power that the battery lasts for months. How can we run intelligent algorithms on tiny devices without draining their energy?