Could networks of cellular automata train faster than neural networks?
Networks of cellular automata can resemble neural nets in many ways, and, in an arguable sense, are supersets of neural nets. However, small, simple automata are inherently digital, and not analog, and just might be more computationally efficient. In particular, such a digital net could overcome many of the engineering difficulties of building a neural net in hardware, such as the requirement for large analog transistors, which are typically hundreds of times larger than their digital transistor counterparts.
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