I don't think that it does AI matrix math with significant power reduction but rather it just seems to provide rng? I may be wrong but I don't think what you are saying is true in my limited knowledge, maybe someone can tell what is the reality of it, whether it can do Ai matrix math with significant power reduction or not or if its even their goal right now as to me currently it feels like a lava lamp equivalent* thing as some other commenter said
The paper talks about some quite old-school AI techniques (the kind of thing I learned about in university a decade ago when it was already on its way out). It's not anything to do with matrix multiplications (well, anything do with computing them faster directly) but instead being able to sample from a complex distribution more efficiently by have dedicated circuits to simulate elements of that distribution in hardware. So it won't make your neural nets any faster.