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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.
E. D. Clayton
Nuclear Technology | Volume 23 | Number 1 | July 1974 | Pages 14-27
Technical Paper | Reactor | doi.org/10.13182/NT74-A31430
Articles are hosted by Taylor and Francis Online.
During the development of nuclear energy, a number of apparent anomalies have become evident in nuclear criticality. Some of these have appeared in the open literature and some have not. Yet, a naive extrapolation of existing data, without knowledge of the “anomalies,” could certainly lead to potentially serious consequences. The known “anomalies” include, but are not limited to,