I was wondering. Philosophically you can place balls of steel in a 2D pyramid and apply a little voltage. So you created something that looked like a machine learning network.
So I was wondering. Would it be possible to learn a little more about the electric network. For use as inspiration in batteries and motors.
From my machine learning speculation it could be that the layers of the network oscillates a little in finding its target weights. Knowledge about this could perhaps make things more effective?
Are there electric machine learning elements objects one can use to enhance motors and batteries for instance.
Thinking outside the box creating a parallel electric network. Instead of the crude fully connected network. Convolution networks are important in machine learning. What counterpart is it possible to create physically.
Maybe we get a CPU Network electrical Wire in the future.