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TinyML Pet Activity Tracker: From XIAO BLE Sense to Edge Impulse

TinyML Pet Activity Tracker: From XIAO BLE Sense to Edge Impulse

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.

MYRA: Java’s Off‑Heap Engine for Sub‑Microsecond Latency

A new Java ecosystem built on the Foreign Function & Memory API delivers deterministic, sub‑microsecond performance without the pitfalls of Unsafe or JNI. MYRA’s zero‑allocation, zero‑copy design outperforms established codecs and rivals native networking in real‑world HFT workloads, offering a safer, faster alternative for latency‑critical systems.