16–20 Sept 2024
Spallation Neutron Source
US/Eastern timezone

Integrating Machine Learning Models into EPICS

19 Sept 2024, 09:00
20m
Iran Thomas Auditorium (Spallation Neutron Source)

Iran Thomas Auditorium

Spallation Neutron Source

Oak Ridge National Laboratory Oak Ridge, TN
Experiment control, data acquisition, data analysis, AI/ML EPICS Meeting Talks

Speaker

Kathryn Baker (STFC / ISIS)

Description

Despite progress in the adoption of machine learning to enhance control, automation and decision making in complex systems such as accelerators, there is not yet a standardized methodology for integrating these models with EPICS. In this presentation, we introduce tools and a template for integrating trained models into EPICS environments. It provides a structured approach to deployment and scalability through containerisation. The presentation will include examples of deployments from the accelerators at the ISIS Neutron and Muon Source.

Primary authors

Kathryn Baker (STFC / ISIS) Mr Mateusz Leputa (STFC / ISIS)

Presentation materials