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Recent advancements in machine learning have enabled the application of these techniques in high energy physics, yielding significant benefits. Artificial intelligence not only offers potential solutions to long-standing challenges but also aids in enhancing physical models by identifying and analyzing hidden correlations through innovative approaches.
The large-scale experiments at the LHC generate vast amounts of data annually, posing numerous technical challenges. However, AI technologies can assist in nearly every facet of these investigations, from optimizing DAQ triggers to performing advanced physics analyses. Additionally, related fields, such as designing future accelerators or advancing hadron therapy for cancer treatment, can also benefit from these applications.