There's a lot of ongoing work in machine learning focusing on learning from few examples, online learning, more biologically plausible learning and so on. Most of it is done in the academia, and some of it is done at large corporations.

Startups generally have a short runway before they run out of cash, which isn't long enough to sustain this kind of exploratory work.