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Argonne: Where AI research meets education and training
Last September, in the Chicago suburb of Lemont, Ill., Argonne National Laboratory hosted its first AI STEM Education Summit. More than 180 educators from high schools, community colleges, and universities; STEM administrators; and experts in various disciplines convened at “One Ecosystem, Many Pathways–Building an AI-Ready STEM Workforce” to discuss how artificial intelligence is reshaping STEM-related industries, including the implications for the nuclear engineering classroom and workforce.
Humberto E. Garcia, Steven E. Aumeier, Ahmad Y. Al-Rashdan
Nuclear Science and Engineering | Volume 194 | Number 4 | April 2020 | Pages 249-269
Technical Paper | doi.org/10.1080/00295639.2019.1698237
Articles are hosted by Taylor and Francis Online.
This paper examines the potential of embedded intelligence (EI) and the resultant implications of secure EI (SEI) and integrated state awareness (ISA) as disruptors in the advanced nuclear energy systems market. To this end, it reviews the state-of-the-art of EI in nuclear and other industries; discusses design trends, benefits, challenges, and opportunities; and addresses the rigorous development of SEI-driven approaches for achieving ISA and other smart functionalities (e.g., remote, flexible, and/or autonomous operations). It also defines concepts in such a way as to enable rigorous further development and identifies potential actions to capture opportunity, including the identification of areas for appropriate research, development, and demonstration.