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  • AI everywhere: Intelligence embedded in everyday environments (rooms, wearables, devices) rather than only in the cloud.
  • Context-aware interaction: Systems that understand situation, activity, and intent to adapt services in real time.
  • Edge & on-device learning: Privacy-preserving inference close to the data source for low latency and robustness.
  • Multimodal sensing fusion: Combining signals such as motion, audio, physiological and environmental data for reliable insights.
  • Resilient, trustworthy AI: Robust operation under uncertainty with security, safety, and explainability in mind.
  • Human-centered applications: Practical impact in areas like healthcare, smart living, and assistive technologies.

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