2nd CERN IT Machine Learning Infrastructure Workshop

The High Energy Physics community has started introducing Deep Learning techniques for improving different aspects in the experiments and accelerators life cycle and data processing steps.
 
The availability of reliable, user-friendly and scalable resources, including full software and hardware stacks, is critical to fully support activities in the ML/DL domain. In this context, the CERN IT department has launched an initiative to gather information about the status of its ML/DL dedicated infrastructure, the state-of-the-art and the needs of the HEP  ML/DL community at CERN.
 
A first workshop focused on the current status of ML/DL activities and infrastructure solutions in CERN IT.
This second workshop tries to collect information about on-going and planned AI-research within the different departments and experiments at CERN.