Very cool. I've only just skimmed the article (and quickly), but I was wondering if instead of generating pictures one could apply this to generating a CA (or parameters for a CA) that does certain types of computations? This would allow us to evolve or find CAs that could perform certain types of multi-stage computations in a highly parallel fashion and could be readily implemented in FPGAs (for example).
Oh, sounds like I just found a fun project to work on.
We have a lot of future applications and directions in mind, including the feasibility of applying this to distributed computing and consensus.
In particular, the idea of training a model generating CA parameters instead of having a CA fit a specific pattern is of great interest to us and the synthetic biological field. Feel free to get in touch.
Oh, sounds like I just found a fun project to work on.