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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Atomic Canyon partners with INL on AI benchmarks
As interest and investment grows around AI applications in nuclear power plants, there remains a gap in standardized benchmarks that can quantitatively compare and measure the quality and reliability of new products.
Nuclear-tailored AI developer Atomic Canyon is moving to fill that gap by entering into a new strategic partnership with Idaho National Laboratory to develop and release the “first comprehensive benchmark suite for evaluating retrieval-augmented generation (RAG) and large language models (LLMs) in nuclear applications.”
Wilhelm in der Schmitten, Bernd Sohnius, Erwin Wehner
Nuclear Technology | Volume 92 | Number 3 | December 1990 | Pages 374-382
Technical Paper | Radioactive Waste Management | doi.org/10.13182/NT90-A16238
Articles are hosted by Taylor and Francis Online.
This work presents (a) a procedure to calculate calibration factors for converting the measured gamma rate of waste drums into activity content and (b) a layout and free release measurement criterion for waste drums. A computer program is developed that simulates drum scanning techniques, which calculates calibration factors and eliminates laborious experimental measurements. The calculated calibration factors exhibit good agreement with experimentally determined values. By checking the calculated calibration factors for trial equipment layouts (including the waste drum and the scanning facility) using the layout and free release measurement criterion, a layout can be achieved that clearly determines whether there can be free release of a waste drum.
