Use AI/ML ML to Optimize Data and Experiments at National Synchrotron Light Source II (NSLS-II) and the Accelerator Test Facility (ATF)
Description
Three projects: use ML for denoising in scientific images; use ML to mine large quantities of data for automated evaluation of data quality and predictive analysis; develop AI/ML infrastructure to tune / align / optimize instruments/beamlines at NSL
Detailed example
Three projects: use ML for denoising in scientific images; use ML to mine large quantities of data for automated evaluation of data quality and predictive analysis; develop AI/ML infrastructure to tune / align / optimize instruments/beamlines at NSLS-II and ATF
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Three projects: use ML for denoising in scientific images; use ML to mine large quantities of data for automated evaluation of data quality and predictive analysis; develop AI/ML infrastructure to tune / align / optimize instruments/beamlines at NSLS-II and ATF
Audit / financial statement impact
This deals with international safeguars approaches.
Controls / human review
ATO: Not reported; PIA: Not published