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Google Research unveiled SensorFM, a foundation model trained on over a trillion minutes of sensor data from five million Fitbit and Pixel Watch users. The model outperformed supervised baselines on 34 of 35 health prediction tasks. When integrated into a personal health agent, SensorFM's predictions were statistically indistinguishable from actual clinical measurements across five evaluation dimensions.
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