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In this talk, Rosa Sandá Seoane explores how machine learning has transformed our ability to detect and study subatomic particles at the LHC, allowing us to extract valuable information from a massive volume of data and improve the precision of experiments. By analysing billions of subatomic collisions, the LHC is on a mission to unravel the mysteries of fundamental physics. In this vast ocean of data, artificial intelligence stands out as the best ally to identify signals of elusive particles, such as the Higgs boson, and explore the depths of the quantum universe. Rosa will present concrete examples of how these techniques have been crucial to landmark discoveries, as well as their current application in the search for signals of new physics beyond the Standard Model, as well as the challenges and opportunities that these tools present in the exploration of a still unknown universe. The conference 'Looking for needles in a quantum haystack: machine learning at the LHC' is part of the CSIC Science Week: Cycle of Theoretical Physics Conferences of the IFT and the Residencia de Estudiantes, held between November 7 and 15, 2024. Production: Residencia de Estudiantes. Follow us on TWITTER! / ift_uam_csic INSTAGRAM! / ift_madrid TikTok! / ift_uam_csic Also on FACEBOOK! / iftmadrid We are now on Bluesky! https://bsky.app/profile/iftuamcsic.b... And check out our website! https://www.ift.uam-csic.es