Scientific artificial intelligence (AI), spanning foundation models (FMs) to federated data-analysis pipelines, is becoming shared infrastructure across national laboratories, universities, hospitals, and industrial partners. This collaboration creates privacy risks whose natural unit is often an institution's particip...
O. Kotevska, Sumit Kumar Jha, A. Bellet et al.· 1 citation
Model Cards and Data Cards have demonstrated the value of structured, human-readable documentation for machine learning artifacts, capturing their context, parameters, limitations, and intended use. However, these practices remain focused on static artifacts (the datasets and trained models themselves) while overlookin...
Nicola Giuseppe Marchioro, Gabriele Padovani, Amal Gueroudji et al.· 0 citations
The plant phenotyping workflow of the Orchestrated Platform for Autonomous Laboratories is explored, which couples Oak Ridge National Laboratory's Advanced Plant Phenotyping Laboratory with the Frontier supercomputer and replaces roughly twelve hours of manual analysis with interactive queries returning in seconds to m...
Daniel Rosendo, Renan Souza, Kelsey Carter et al.· 0 citations
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