This 3-year IRES Track I project recruits three cohorts of U.S. students to conduct research in China, with the major research goal as developing, fabricating, and testing an ultra-low power application-specific deep learning integrated circuit, and evaluating its performance through the integration with physical Internet-of-Things (IoT) edge computing devices. It brings together three research groups with unique expertise from University of Arkansas (ultra-low power asynchronous circuit design), University of South Alabama (context-aware memory design), and Peking University, China (deep learning algorithm development and optimization). The expected research outcomes will accelerate edge computing for a large variety of IoT applications such as advanced medical and elderly care systems, and self-driving vehicles. Each year six U.S. student participants work onsite at Peking University for eight weeks, leveraging the onsite research facilities. The multicultural, multidisciplinary nature of this project provides a unique training and career preparation opportunity for the participating students, including multidisciplinary discussion, teamwork, effective communication, and technical writing. The PIs continue their prior efforts in recruiting student participants from underrepresented and minority groups, leveraging their contacts and the existing mechanisms at each university. The research outcomes and the student experience will be disseminated nation-wide for benefiting the