0vββ AI Summer School

America/Los_Angeles
UC Irvine ISEB Colloquium 1200

UC Irvine ISEB Colloquium 1200

419 Physical Sciences Quad, Irvine, CA 92697
Aobo Li
Description

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)