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Conference Spotlight
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.”
Houlung Lee*, Edward S. Kenney
Nuclear Technology | Volume 100 | Number 1 | October 1992 | Pages 70-78
Technical Paper | Material | doi.org/10.13182/NT92-A34754
Articles are hosted by Taylor and Francis Online.
By introducing wide-aperture detectors, the efficiency of the conventional Compton scatter imaging technique can be greatly improved. A Monte Carlo method has been developed to investigate the imaging process of this enhanced Compton imaging technique. Using this technique, a conceptual design of a pipe inspection system has been completed. This system features the use of dual wide-aperture detectors and a photon source of two energy components. In practice, a source of more than two energy components is allowed. With this inspection system, the inner surface contours of the pipe can be reconstructed in a rather straightforward manner, and the inner surface can be fully mapped. The measured data together with the associated geometry parameters such as size and curvature will serve to provide a two- or three-dimensional contour mapping of the pipe.