首页|Findings from University of Glasgow Yields New Findings on Artificial Intelligen ce (Artificial-intelligence-driven Model for Resistive Superconducting Fault Cur rent Limiter In Future Electric Aircraft)
Findings from University of Glasgow Yields New Findings on Artificial Intelligen ce (Artificial-intelligence-driven Model for Resistive Superconducting Fault Cur rent Limiter In Future Electric Aircraft)
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Fresh data on Artificial Intelligence are presented in a new report. According to news reporting originating in Glasgo w, United Kingdom, by NewsRx journalists, research stated, "Fast and accurate el ectrothermal characterization of superconducting fault current limiters (SFCLs) is critically important for their performance evaluation. At the design stage of the SFCL, simulation is needed to validate the feasibility of the idea before f abrication." Financial support for this research came from Engineering & Physic al Sciences Research Council (EPSRC).
GlasgowUnited KingdomEuropeArtific ial IntelligenceEmerging TechnologiesMachine LearningUniversity of Glasgow
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