188 citations · 234 across the 13 of their papers we have counts for
3 papers · 1 filter
The AI_INFN Platform: Artificial Intelligence Development in the Cloud
Lucio Anderlini, Giulio Bianchini, Diego Ciangottini +4
Machine Learning (ML) is profoundly reshaping the way researchers create, implement, and operate data-intensive software. Its adoption, however, introduces notable challenges for c…
CMS Token Transition
Brian Bockelman, Rahul Chauhan, Diego Ciangottini +10
Within the LHC community, a momentous transition has been occurring in authorization. For nearly 20 years, services within the Worldwide LHC Computing Grid (WLCG) have authorized b…
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform
Lucio Anderlini, Matteo Barbetti, Giulio Bianchini +7
Machine Learning (ML) is driving a revolution in the way scientists design, develop, and deploy data-intensive software. However, the adoption of ML presents new challenges for the…