Dissertation Award in Nuclear Physics Talk: Building Efficient and Interpretable AI for Neutrinoless Double-Beta Decay Searches

The discovery of Majorana neutrinos would fundamentally revise our understanding of physics and the cosmos. Currently, the most effective experimental probe of the Majorana neutrinos is neutrinoless double-beta decay(0??ββ). Meanwhile, the explosive growth of artificial intelligence over the last decade has brought new opportunities to 0??ββ experiments. Efficient and interpretable AI algorithms could break down significant technological barriers and, in turn, deliver the world's most sensitive search for 0??ββ. This talk will discuss one such algorithm--KamNet, which plays a pivotal role in the new result of the KamLAND-Zen experiment. With the help of KamNet, KamLAND-Zen provides a limit that reaches below 50 meV for the first time and is the first search for 0νββ in the inverted mass ordering region. Looking further, the next-generation 0??ββ experiment LEGEND has created the Germanium Machine Learning group to pursue an efficient and interpretable AI analysis chain. As the odyssey continues, AI will enlighten the bright future of 0νββ and fundamental symmetries in general.