SensorFM scales wearable-health pretraining to five million people
Google presented SensorFM, trained on more than one trillion minutes of de-identified wearable signals from five million consented participants. Google reports transfer across 35 health-prediction tasks, label-efficient adaptation, missing-data infilling and use as grounding for a personal-health agent.
Why it matters: Wearable AI is shifting from one classifier per signal toward shared physiological representations that can support many downstream tasks.