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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Latest News
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.”
L. L. Carter
Nuclear Technology | Volume 103 | Number 2 | August 1993 | Pages 274-287
Technical Paper | Radiation Protection | doi.org/10.13182/NT93-A34849
Articles are hosted by Taylor and Francis Online.
General optimization guidance is given for Monte Carlo calculations involving actinide photon sources and various thicknesses of generic shields. Both energy- and position-dependent importances are calculated for the shields, and the use of this information is discussed. Examples are given for a typical actinide source.
