SAMSUNG TRAINS AI TO DETECT HEALTH PATTERNS HIDDEN IN WEARABLE DATA

Fri 14 August 2026:

Samsung Research on Friday detailed two artificial intelligence models designed to identify health patterns in data collected by wearable devices, as the technology company expands its research into continuous health monitoring.

The models, called xMAE and HiMAE, are designed to analyze so-called biosignals — measurements such as heart activity, movement and sleep-related data collected by devices including smartwatches.

“We’re moving from reactive treatment toward preventive, personalized, and connected experiences,” Samsung explained during the Health Forum at Galaxy Unpacked July 2026. The foundation models are the technical backbone making that vision possible.

The aim is to help AI recognize patterns across these signals rather than treating each measurement separately, Samsung said.

The announcement follows Samsung’s broader push into AI-powered health technology. In July, the company launched a beta version of Samsung Health Assistant, which uses users’ health data to provide personalized wellness recommendations.

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Samsung also presented its broader “Connected Care” vision, which seeks to use AI and wearable data for more continuous and personalized health monitoring.

The two models are research projects rather than newly launched medical products. xMAE focuses on relationships between different heart-related signals, while HiMAE is designed to identify patterns across different time scales, from rapid changes such as heartbeats to longer-term patterns linked to sleep and activity.

Samsung said HiMAE can operate on a smartwatch-class processor in less than a millisecond.

The work is part of a broader effort to develop health foundation models — AI systems trained to recognize patterns in large amounts of biological data and then adapted for different tasks.

The researchers from Samsung Research America’s Digital Health Team are continuing development on AI technologies that “continuously understand a person’s health state from biosignals, generate health insights, and offer appropriate health guidance.” Translation: expect these models to ship in future Galaxy Watch devices, probably sooner than later.

Competitors will watch closely. On-device health AI that actually works – fast, accurate, power-efficient – changes what’s possible in wearables. Samsung just showed it’s feasible. Now the race is on to ship it.

Samsung’s xMAE and HiMAE models mark a genuine technical leap in wearable health AI – peer-reviewed, on-device, and fast enough for real-time use. While the industry debates cloud versus edge, Samsung’s shipping the answer: foundation models that understand your body’s signals without ever leaving your wrist. As Connected Care moves from concept to product, these AI models become the difference between another fitness tracker and a device that actually knows what’s happening inside you. The question now isn’t whether on-device health AI is possible – Samsung just proved it is. The question is who ships it to consumers first.

SOURCE: INDEPENDENT PRESS AND NEWS AGENCIES

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