Google developed SensorFM, a foundation model designed to interpret diverse time-series data from wearable devices. The system treats health sensors like a language, enabling a unified interface for disparate biometric streams. This approach reduces the need for task-specific models. Researchers can now deploy more flexible, general-purpose health monitoring tools across various hardware platforms.