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Study [from Apple]: Apple’s newest AI model flags health conditions with up to 92% accuracy
Apple researchers developed an AI model trained on behavioral data collected from wearables, and it performed surprisingly well.
For example, mobility metrics that characterize walking gait and overall activity levels may be important behavioral factors to help detect a changing health state such as pregnancy.” In practice, WBM learns from the patterns found in processed behavioral data, rather than relying directly on raw sensor signals. The data was broken down into weekly blocks and passed through a new architecture built on Mamba-2, which performs better than traditional Transformers (the base for GPT) for this use case.
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