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#wearable-sensors2 articles
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AIBullishGoogle Research Blog · Jul 286/107
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SensorLM: Learning the language of wearable sensors

SensorLM represents a breakthrough in generative AI applied to wearable sensor data, enabling AI systems to understand and process the complex language of sensor inputs from devices like smartwatches and fitness trackers. This development could revolutionize how AI interprets biometric and movement data for healthcare, fitness, and human-computer interaction applications.

AINeutralGoogle Research Blog · Jul 224/105
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LSM-2: Learning from incomplete wearable sensor data

LSM-2 is a research development focused on learning from incomplete wearable sensor data using generative AI approaches. This represents an advancement in handling sparse or missing data from wearable devices through machine learning techniques.