AI4EIC Community Efforts
In this webpage you can find material/documentation regarding several efforts in our community to disseminate the usage of AI/ML for the EIC. This at the moment includes lectures, outreach events, tutorials.
Community EFFORTS on AI/ML for the EIC
Repositories
Below is provided a to the AI4EIC Organization where Repositories can be found
https://github.com/ai4eic
AI4EIC
Ongoing projects:
- AI4EIC RAG-Summarization https://github.com/ai4eic/EIC-RAG-Project
- AI4EIC hackathons infrastructure https://github.com/ai4eic/AI4EICHackathon2023-Streamlit
Lectures/Tutorials
Below are provided links to lectures, tutorials on AI/ML applications for the EIC detector.
Continual Learning, A. Cossu (U. of Pisa)
CONTINUAL LEARNING
Link to presentation and references therein to code repositories
https://indico.bnl.gov/event/19560/contributions/82545/attachments/52139/89172/AI4_EIC.pdf
Reinforcement Learning, H. Chen (W&M)
REINFORCEMENT LEARNING
Link to presentation and references therein to code repositories
https://indico.bnl.gov/event/19560/contributions/83355/attachments/51393/87879/RL-tutorial-AIEIC.pdf
Detector Design with AI, C. Fanelli (W&M)
design
An interactive Jupiter book presented at the NNPSS Summer School at MIT, which includes lectures and hands-on tutorials on AI-assisted design with a fully documented description of the optimization adopted during the EIC detector proposal.
Unfolding with ML : OmniFold, F. Torales Acosta (LBNL), V. Mikuni (NERSC)
Unfolding - Omnifold
- GitHub link here: https://github.com/ftoralesacosta/AI4EIC_Omnfold
- Colab link: https://colab.research.google.com/drive/1zuU9MezTIQGPhXlPG1Y9QilyDcQk6L0K?usp=sharing
- Specifically, the notebook: https://github.com/ftoralesacosta/AI4EIC_Omnfold/blob/master/DIS_Omnifold.ipynb
- Two data files on google drive that the tutorial uses:
Machine Learning Lifecycle, K. Rajput (Jefferson Lab/Data science)
ML Lifecycle
MaGraph Neural Networks, Y. (Ray) Ren
Graph Neural Networks
AI/ML examples for the EIC
Contributors
Copyright © 2021 Artificial Intelligence for the Electron Ion Collider - All Rights Reserved.
ai4eic
This website uses cookies.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.