Search Results: TinyML

A DIY pet activity tracker demonstrates how a tiny XIAO BLE Sense board, coupled with Edge Impulse’s cloud ML platform, can classify rest, walk, and run states with 90 % accuracy. The end‑to‑end pipeline—from data collection and spectral feature extraction to a Flutter mobile app—offers a blueprint for custom animal‑health monitoring solutions.

A revolutionary 15M-parameter text-to-speech model shatters industry norms by delivering high-quality voices in under 25MB—small enough to run on Raspberry Pis and phones without GPUs. This open-source breakthrough signals a seismic shift toward efficient, privacy-focused edge AI that democratizes voice technology.