Searching for "smart" networks built from NAND gates and memory using GA

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Hey guys. Some time ago I've developed an application/framework that lets you search (using distributed GA) for "smart" networks - a network built from only NAND gates with some memory block connected to its inputs and outputs. The way the learning should happen is continous as the memory is updated after every calculation of outputs.

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