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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.
Hans H. Frick
Nuclear Technology | Volume 44 | Number 3 | August 1979 | Pages 429-432
Technical Paper | Fuel Cycle | doi.org/10.13182/NT79-A32277
Articles are hosted by Taylor and Francis Online.
The significance of a variation in the amount of material lost between inventory checks has been analyzed by optimal linear combinations of the accounting data. The purpose is to increase the sensitivity for detecting diversion. No linear combination tested provided greater sensitivity than the simple traditional material unaccounted for “Starting Inventory Plus Throughput Minus Ending Inventory.”