OK, this is from Gemini AI, but its just plain old common sense and saves thinking it out and typing. Flow on's from Bravo's posts and links.
How on‑chip learning concretely makes robots smart
- Local personalization: STDP/one‑shot updates let a robot adapt to an individual operator’s gesture signatures, timing, and idiosyncrasies in minutes rather than requiring dataset collection and offline retraining.
- Fast habit formation: Robots can adjust thresholds, temporal filters, and micro-policies from very small exposure, improving responsiveness in the next few interactions.
- Reduced dependency on connectivity: Learning and adaptation occur on-device so robots remain capable under limited or lossy network conditions.
- Continuous lifelong adaptation: On-chip mechanisms support ongoing tuning to drift (sensor wear, worker fatigue patterns) without expensive model refresh cycles.
- Privacy and bandwidth benefits: Raw sensitive signals (EEG traces) can be summarized on-device after learning, so only high-level metrics are transmitted upstream.
Tech
won't be long now.
