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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.
Arthur N. Jarvis, David G. Easterly
Nuclear Technology | Volume 24 | Number 3 | December 1974 | Pages 447-450
Technical Paper | Radioactive Waste | doi.org/10.13182/NT74-A31508
Articles are hosted by Taylor and Francis Online.
Laboratory intercomparison studies involving samples of most environmental media are conducted on a continuing basis by the U.S. Environmental Protection Agency’s (EPA) National Environmental Research Center-Las Vegas. These studies enable the EPA to assess the precision and accuracy of radioassay procedures for environmental samples. The data from a recent six-month study to assess the quality of radionuclide measurements in milk indicate that the measurements of 30 federal, state, and private laboratories compare favorably with those of 10 reputable international laboratories. However, the data also indicate a need for improved analytical performance, the adoption of standard reference methods, more frequent instrument calibration, and better quality control in all radio-analytical procedures.