This workshop is an intiative of the Next Generation Triggers project and aims to bring together intra- and inter-experiment groups to start discussions on the effective deployment of Machine Learning algorithms into hardware trigger systems and beyond in anticipation of the HL-LHC.
The day will be divided into two sessions: the morning will consist of ATLAS and CMS working groups, and will be focused on discussing experiment-specific requirements, while the afternoon will be an open discussion, organised around three common themes in ML deployment:
- Training: Strategies for training models deployed under evolving conditions
- Model Logistics: Managing models through software, firmware, and software transitions
- Data Flow: Handling data conversions with distributed, heterogeneous computing
There will be short talks at the start of each theme.
The deadline for registration is May 23th, 2025.
