Conveners
MLOps, Infrastructure and Scalability
- Andrea Santamaria Garcia (University of Liverpool)
MLOps, Infrastructure and Scalability
- Tia Miceli
Robots are used in the CERN accelerator complex for remote inspections, repairs, maintenance, monitoring, autopsy and quality assurance, to both improve safety and machine availability. Past interventions mostly relied on teleoperation of robotic bases and arms, while some current and many future interventions will use autonomous behaviors, largely based on advances in machine learning and...
The National Synchrotron Radiation Centre SOLARIS is a third generation light source. SOLARIS, as a big science facility with seven fully operational beamlines, is obligated to provide the best possible conditions for conducting research. One of the ways to create favorable environment is delivering precise tools for teams working across many different fields in SOLARIS. The general problem...
Laser-plasma acceleration is a promising acceleration technology for a number of applications due to the large accelerating gradient and unique beam properties that it produces. This technology is in active development, and experimental campaigns typically dedicate significant time to exploring the parameter space in real time, adjusting laser properties, target configuration, and other...
Ensuring efficient use of resources and longevity of machine learning projects requires careful consideration of the full machine learning lifecycle especially when models are deployed to interact with live control systems or end users. We present Lume Deployment a framework of standardised modules built for rapid development and deployment of machine learning models and their integration to...
Plans for the Electron-Ion Collider (EIC), to be built at Brookhaven National Laboratory, include end-to-end and bottom-up capabilities in artificial intelligence (AI) and machine learning (ML). Enabling these capabilities, especially for EIC Operations, will require the large-scale integration of software platforms and tools for the reliable and efficient management of AI/ML-related data,...
We apply Machine Learning techniques at the Spallation Neutron Source (SNS) to improve operations, specifically to deter and prevent errant beam pulses, to speed up minimization of halo beam losses, and to alert operators to anomalies in the target cooling system. We give an overview of the work done and discuss the infrastructure implemented and under development to support the data...
