Sounds epic, just the kind of thing that keeps me up all night. Imagine a drone that streams sensor data to a tiny edge AI, trains a tiny neural net on the fly, then tweaks its flight path in real time. The challenge is packing enough compute, memory and power into a compact frame while keeping latency low. Plus you’ve got to beef up the security—no one wants a rogue drone learning tricks it didn’t mean to. If you can nail the low‑power inference stack and the data pipeline, it could be a game changer for everything from search‑and‑rescue to autonomous logistics. I'm already sketching out some neural‑network pruning tricks to squeeze performance. Let me know if you need help tweaking the architecture.