The design of feasible layouts is definitely one of the trickier parts of applying ML to architecture. I know of one masters and one PhD student working in this

The design of feasible layouts is definitely one of the trickier parts of applying ML to architecture. I know of one masters and one PhD student working in this domain, and it's so hard to achieve human-quality spatial layouts. However, that is just one part of building design, and some of the other constraints of architecture (to use your language) lend themselves more to ML/AI solutions, and I'm seeing crazy progress in domains like structural or energy optimization. I'm pretty excited by the potential in this space, personally.