Skin-like neuromorphic devices for intelligence and personalized wearable technology (Conference Presentation)

Abstract

For leveraging wearable technologies to advance precision medicine, personalized and learning-based analysis of continuously acquired health data is indispensable, for which neuromorphic computing could provide the most efficient implementation of artificial intelligence (AI) data processing. For realizing on-body neuromorphic computing, skin-like stretchability is required to be combined with the suite of desired neuromorphic metrics. In this talk, I will introduce our research in developing new electronic materials, device designs, and fabrication processes for imparting intrinsic stretchability onto neuromorphic devices that can provide state-of-the-art computing performance. I will also show the practical applicability of this device for implementing machine-learning computing and algorithms for health data analysis, when the computing hardware is under human-body-induced deformation.