A robust, open-source framework for Spiking Neural Networks on low-end FPGAs

I don't understand the point of spiking in the context of computer hardware.

Your energy costs are a function of activity factor. Which is how many 0 to 1 transitions you have.

If you wanted to be efficient, the correct thing to do is have most voltages remain unchanged.

What makes more sense to me is something like mixture of experts routing but you only update the activated experts. Stock fish does something similar with partial updating NN for board positions.