首页|Findings from University of Glasgow Advance Knowledge in Artificial Intelligence (Level-3 Trigger for CLAS12 with Artificial Intelligence)
Findings from University of Glasgow Advance Knowledge in Artificial Intelligence (Level-3 Trigger for CLAS12 with Artificial Intelligence)
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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 reporting originating from the University of Glasgow by NewsRx correspondents, research stated, “Fast, efficie nt and accurate triggers are a critical requirement for modern high energy physi cs experiments given the increasingly large quantities of data that they produce .” The news correspondents obtained a quote from the research from University of Gl asgow: “The CEBAF Large Acceptance Spectrometer (CLAS12) employs a highly effici ent electron trigger to filter the amount of data recorded by requiring at least one electron candidate in each event, at the cost of a low purity in electron i dentification. However, machine learning algorithms are increasingly employed fo r classification tasks such as particle identification due to their high accurac y and fast processing times. In this proceeding we present recently published wo rk that showed how a convolutional neural network could be deployed as a Level 3 electron trigger at CLAS12.”
University of GlasgowArtificial Intell igenceEmerging TechnologiesMachine Learning
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