Conveners
Workshop 6: AI/ML: Morning 1
- Yeonju Go (Brookhaven National Laboratory)
Workshop 6: AI/ML: Morning 2
- Yeonju Go (Brookhaven National Laboratory)
Description
Co-chair: Hannah Bossi, Tanner Mengel
Artificial intelligence (AI) has a large transformative potential and is currently changing the industries around the globe. The deployment of cutting-edge AI techniques offers unparalleled opportunities to revolutionize data collection, reconstruction, and data analysis of the new era nuclear physics experiments. This talk will focus on the latest AI advancements and applications at the...
Inverse problems are ubiquitous in hadron structure and tomography, where accurately characterizing uncertainties is crucial for unraveling new physics hiding within these uncertainties. In this new precision era of QCD, it is vital to create a translation between our physics and next generation AI/ML algorithms, using tools such as evidential deep learning and information-theoretic metrics to...
We present denoising diffusion probabilistic models (DDPMs) as high-fidelity, AI-based generative surrogates for producing full-detector, whole-event simulations in heavy-ion experiments [1]. Trained on HIJING minimum-bias data propagated through the sPHENIX detector geometry with Geant4, DDPMs achieve roughly a hundredfold speedup over standard Geant4 simulations and exhibit superior fidelity...
