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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.
Richard D. Guild, Edmond G. Tourigny
Nuclear Technology | Volume 41 | Number 1 | November 1978 | Pages 97-108
Technical Paper | Technique | doi.org/10.13182/NT78-A32136
Articles are hosted by Taylor and Francis Online.
Reliability, reliability with repair, and availability concepts for specific configurations of four identical element systems, including series, parallel, and multiplex systems, are developed using a continuous time Markov process. As the number of systems components increases, the Markov approach leads to complex sets of differential equations that require computer solution. The multiplex system availability, reliability with repair, and reliability are superior to that of both the parallel and series systems. Multiplexing offers the opportunity for reliability improvement in the design of nuclear safety systems.