Can Machine Learning Reveal the Secrets of Neutrinos?

Scientists are using artificial intelligence to uncover the hidden details of neutrino interactions. A new machine-learning program called SPINE can reconstruct complex particle tracks inside liquid argon detectors, helping researchers extract more useful data from experiments. Successfully tested with the ICARUS detector, this technology could also support the upcoming DUNE experiment, bringing scientists closer to understanding one of physics’ biggest questions: why does the universe contain more matter than antimatter? This episode includes AI-generated content.