Harnessing human signals can provide full of rich data that can be collected through intelligent devices and sensors from more than a single point of temperature measurement. However, making sense of this complex data will require more than traditional signal processing. It will demand energy-efficient artificial intelligence that can extract insights that drive meaningful changes and outcomes for users.

This white paper will look at how intelligent digital health devices can harness human signals at the edge with ultra-low power AI.