University of Chicago develops skin patch for on-body AI analysis

The University of Chicago developed a skin patch that runs AI models directly on the body for real-time health analysis. The patch performs sensing and AI inference on the skin with minimal latency, critical for conditions like ventricular fibrillation. It reduces power use and privacy risks by avoiding cloud or smartphone data transfer. Stretchable transistors enable the patch to conform to the skin. The tech could impact robotics and edge AI for disaster relief.