CORDIS Project
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This project leverages advanced Machine Learning techniques to enhance the efficiency of High Energy Physics experiments. By automating data analysis and event identification, it aims to reduce operational costs and improve the detection of new physics phenomena.
This project proposes to use modern Machine Learning (ML), particularly Deep Learning (DL), as a breakthrough solution to address the scientific, technological, and financial challenges that High Energy Physics (HEP) will face in the decade ahead.
The quest for new physics is increasing the complexity of the experiments and, consequently, the human and financial costs to operate these detectors, with experiments facing at best flat budgets. ML offers a way out of this impasse.
With the developm…
EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH
ORGANISATION EUROPEENNE POUR LA RECHERCHE NUCLEAIRE
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