Google SensorFM model for wearable health data

Google Research introduced SensorFM, a foundation model pre-trained on over one trillion minutes of sensor data from five million people. The model learns a general-purpose representation of human physiology that transfers to 35 health prediction tasks. SensorFM-B, the largest variant, reduces reconstruction loss by 31% and improves downstream classification performance by 9%.