首页|Studies from Arctic University of Norway (UiT) Describe New Findings in Artifici al Intelligence (Material Hardness Descriptor Derived By Symbolic Regression)
Studies from Arctic University of Norway (UiT) Describe New Findings in Artifici al Intelligence (Material Hardness Descriptor Derived By Symbolic Regression)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial In telligence have been published. According to news originating from Tromso, Norwa y, by NewsRx correspondents, research stated, “Hardness is a materials’ property with implications in several industrial fields, including oil and gas, manufact uring, and others. However, the relationship between this macroscale property an d atomic (i.e., microscale) properties is unknown and in the last decade several models have unsuccessfully tried to correlate them in a wide range of chemical space.” Funders for this research include ISSCM SB RAS, Research Council of Norway, FRIP RO grant, NOTUR - The Norwegian Metacenter for Computational Science, Taif Unive rsity Research Support Project (Saudi Arabia).
TromsoNorwayEuropeArtificial Intel ligenceEmerging TechnologiesMachine LearningArctic University of Norway (U iT)
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