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A cluster of State Machines, whose outputs are bytes, and whose 8 inputs are the individual bits of an index byte, can approximate a neural network, in a similar way to an op-amp (see appropriate prior artwork) having several weighted inputs. This provides a much faster AI engine than the usual GPU's in normal use, since the floating-point ALUops are replaced by Boolean operations and translate table lookups. The disadvantage is that we have a much reduced dynamic range, as each input can only take the values 0 or 1, although we may be able to use PWM or FM techniques to simulate an analogue stream in a similar way to how a PC speaker can produce acceptable audio samples by use of a PWM or tower-of-Hanoi algorithm.
