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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.
M. M. R. Williams
Nuclear Science and Engineering | Volume 194 | Number 1 | January 2020 | Pages 84-85
Addendum | doi.org/10.1080/00295639.2019.1687193
Articles are hosted by Taylor and Francis Online.
The main purpose of the above paper [Nuclear Science and Engineering, Volume 193, p. 327 (2019); https://doi.org/10.1080/00295639.2018.1531620] was to test out a variety of approximate methods for inverting a generating function. This task was accomplished fully and is unconnected with the misunderstanding that we wish to report here, which concerns how the source multiplier is used once it has been obtained.