Google AI Research developed SensorFM, a foundation model designed to interpret diverse time-series data from wearable devices. The system learns general representations across different sensors to improve health monitoring accuracy. This approach reduces the need for task-specific training. Practitioners can now deploy more flexible models for personalized health tracking and anomaly detection.