AI-driven traffic management blends real-time sensing with predictive analytics to optimize signal timing and flow. Data from sensors, cameras, and edge devices informs adaptive control at intersections, aiming to reduce congestion and emissions. Governance, privacy, and risk considerations shape implementation…

AI-enabled smartwatches blend on-device inference with energy-aware optimization to extend battery life and responsiveness. Models are compressed for local inference, enabling private, fast interactions without frequent cloud calls. Personalization adapts interfaces and sensing to user patterns, while safety and health…