One of the next frontiers for Artificial Intelligence (AI) is to incorporate AI directly into edge devices, which are devices like a home router that serve as an entryway to the broader cloud network. In order to make these devices at the “edge” of the cloud smarter, innovations are needed in both hardware development and in soft-skill training for scientists and engineers. This novel AI paradigm will help alleviate dependence on the cloud and reduce the high energy dependence of cloud computing. To meet this critical need, this National Science Foundation Research Traineeship (NRT) award will establish the Converging Research on Edge Artificial intelligence and Training Enhancement (CREATE) program. CREATE will leverage strategic partnerships between universities, national labs and industry to integrate transdisciplinary research with professional development to train future leaders in Edge Artificial Intelligence (Edge AI). The project anticipates training forty (40) Ph.D. students, including fifteen (15) funded Ph.D. trainees. Additionally, key training components, such as the professional development series and curriculum, will be made available to other graduate students on campus. CREATE will be anchored by a compelling multidisciplinary research area – Edge AI, which enables data collection and AI execution on edge devices to facilitate real-time decision-making. Integrating the study of algorithms, hardware, and devices into one convergent research program will all