HSA4ESMLS’ Website
This is a collaborative research by University of Virginia, University of Maryland College Park, University of Pittsburgh and Saint Louis University.
The newly emerging AI of Things (AIoT) and Internet of Senses (IoS) systems will make mobile and embedded devices smart, communicative, and powerful to process data and make intelligent decisions, by integrating the Internet of Things (IoT) and Artificial Intelligence (AI). This project aims to provide a new generation of systems, algorithms, and tools to facilitate such deep integration at extreme scale. The project’s novelty is to fundamentally ensure scalability of future Machine Learning (ML) systems over the large population of distributed devices, by formulating the seamless integration of advanced ML algorithms with co-designed hardware, computer architectures, and distributed edge-cloud systems, along with meaningful security and privacy guarantees. This co-design methodology allows synergistic consideration of the intrinsic heterogeneity, performance and energy constraints of devices, as well as the unprecedented scale and complexity of data produced by these devices. The project’s impacts are to lay the foundation for the future of AIoT and IoS systems by solving challenges driven by needs related to their complex and heterogeneous contexts, and to advance a wide swath of fields including ML, edge computing, IoT, hardware, software and related engineering disciplines. This project is also contributing to society through developing new curricula, disseminating research for education and training, engaging under-represented students in research, and outreaching to high-school students.
Highlights
Our Team
Meet our team from University of Virginia, University of Maryland College Park, University of Pittsburgh and Saint Louis University.
Our Research
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Our Publications
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