Edge machine learning: how to get reliable on-device models that scale Machine learning at the edge—running models directly on smartphones, sensors, and embedded systems—unlocks lower latency, reduced bandwidth, and stronger privacy protections. Delivering reliable on-device inference requires different trade-offs than cloud deployments. The following practical guide covers core strategies, common pitfalls, and best practices for […]