I won't expect the network to run autopilot, and that thing would probably only be able to run on a dedicated ship or station that can host such a huge network. We can probably run a little network with around five layers at most and it probably should be sufficient for simple tasks like ship...
It would be better for simple calculations with low-latency requirements but would be too complicated for applications that require numerical calculations, like image recognition, radar systems, auto-piloting, Inverse Kinematic solver for industrial arms etc.
We all know That yolol codes are executed 0.2s per line, executing a complex program would take forever. and in most cases, the latency would make the program meaningless. How ever, what if we build a neural network with individual yolol chips function as a neuron? Would that make complicated...
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