The 0vββ AI Summer School (a.k.a. Neutrinoless Double Beta Decay AI Summer School) is a satellite event of Neutrino 2026 designed to introduce AI/ML to students and postdocs with no prior experience. Departing from traditional lecture-heavy formats, our program prioritizes hands-on experience.
Our primary goal is for every participant to develop a working neural network model that they can take home and integrate into their own research. To achieve this, we have facilitated open data releases from leading 0vββ experiments: CUORE, EXO-200, KLZ, LEGEND, nEXO, NEXT, SNO+, SuperNEMO (alphabetically ordered). Participants will select a dataset from one of these experiments and build their own models through a combination of hybrid lectures, hands-on tutorials, and collaborative discussions.
This event will take place the weekend of June 20–21. Lectures will occur in the mornings. Afterwards, we will hold a hands-on coding session with coffee and snacks. Physicists with AI expertise will be available to provide hands-on help with model building. Following the working session on Sunday, we will host a roundtable discussion to brainstorm new AI ideas that participants can apply to their own experiments.
The 0vββ AI Summer School has concluded. The course slides and AI-Ready datasets will remain as an asset of the community on this website. We’d like to also congratulate the winner of the Vibe Coding Competition:
- Tong Zhu (UC Berkeley)
- Mingyu Charles Li (MIT)
- Aaron Torres (Virginia Tech)
Honorable Mention:
- Andreas Gieb (MPIK)
