Project Grant 2425655

This $107,131 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant to the University of Texas at Austin will develop integrated systems for health and chemical sensing by leveraging expertise in machine learning, circuit design, and sensors. The project focuses on integrating weightless neural network-based intelligence with cardiac and chemical sensors at the point of sensing. Key objectives include intelligent systems for cardiac health monitoring and innovative chemistry applications. This integrated system is expected to benefit the public through advancements in health monitoring and preventive care, while also enabling basic scientific discovery in chemistry and molecular biology. The project involves collaboration between the University of Texas at Austin and the University of Texas at San Antonio, with the goal of engaging underrepresented communities in STEM. Subawards are planned as part of this effort.