Think of it as information, not voltage. An XOR produces information. A lot of XORS with ANDs make a calculator which opens up an entire vectorspace of mathematical information.
I try to. One similar thing comes to my mind: generative adversarial networks (GANs). If I'm not mistaken this is along the line of your idea of composing single ML models to bigger information processing units.
Do you, by any chance, have links or recommendations for material to read up on architectures that do consider ML models as composable gates?
