Machine Learning Model Automates Wearable Technology Design

Researchers at the University of Maryland have developed a machine learning model that can automate the design process for materials used in wearable heating applications. This model combines robotics, machine learning algorithms, and material science expertise to enable the design of aerogels with programmable mechanical and electrical properties. By eliminating the trial-and-error experimental process, this model can accelerate the development of sustainable products with a high accuracy rate.