It's AI/ML if you capture sounds at different levels/frequencies, run them all through FFTs, and then use AI/ML to model how the FFTs change with level/frequency.

The Neuron used to work like this - but it's not a cheap way to synthesise sounds, and it never sounded all that awesome.

This works in the DX7's parameter space and tries to find sweet spots within that space - which are hard to discover, even if you know what you're doing.

I'm not convinced it's much more successful than a plain old constrained parameter randomiser. But it is much easier to use.