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Artificial intelligence serves as the cognitive foundation that transforms sensor data into meaningful insights and actionable interventions for aging populations. The unique characteristics of aging-related applications—sparse and noisy data, individual variability, temporal dynamics, and safety-critical requirements—necessitate specialized AI approaches that prioritize interpretability, robustness, and adaptability.

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Technical Background

  • 章节

  • 发表日期：

    2026年

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  • Quan Z. Sheng,
  • Yao Liu,
  • Lina Yao

摘要

Artificial intelligence serves as the cognitive foundation that transforms sensor data into meaningful insights and actionable interventions for aging populations. The unique characteristics of aging-related applications—sparse and noisy data, individual variability, temporal dynamics, and safety-critical requirements—necessitate specialized AI approaches that prioritize interpretability, robustness, and adaptability.