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NSF EPSCoR Edge AI

NSF RII Track 2 FEC: Building Research Infrastructure and Workforce in Edge Artificial Intelligence

 

Learn more about NSF Edge AI Project research, education & workforce development, news, events, and publications at the NSF Edge AI Project Website

Led by The University of South Alabama, NSF EPSCoR Edge AI is building a new Edge AI research infrastructure with novel algorithms, hardware, sensors and devices and to train a diverse workforce in Alabama, North Dakota, and Arkansas by driving transformational advancement in the capabilities of AI in edge devices. Bringing together a multidisciplinary team from six universities, NSF EPSCoR Edge AI’s goal is to accelerate AI implementation developed to the point where it can be readily included within edge devices, promoting real-time decision-making.

NSF EPSCoR Edge AI is committed to developing an Education-to-Workforce Pipeline in Edge AI to train, educate, and develop a diverse workforce. The developed pipeline target groups include high school students, undergraduates (including tribal college students and minority students) and graduate students, Post-Doctoral researchers, junior faculty, and industry practitioners.

Participating Universities

University of South Alabama Logo
North Dakota State Logo
University of Arkansas Logo
University of North Dakota Logo
Alabama A & M University Logo
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