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Scalable CyberInfrastructure for Artificial Intelligence and Likelihood Free Inference (SCAILFIN) Project
The main goal of the Scalable CyberInfrastructure for Artificial Intelligence and Likelihood Free Inference (SCAILFIN) Project is to deploy artificial intelligence and likelihood-free inference techniques and software using scalable cyberinfrastructure (CI) that is developed to be integrated into existing CI elements, such as the REANA system. The analysis of LHC data is the project’s primary science driver, yet the technology is sufficiently generic to be widely applicable to other data-intensive domains.
See here for more details about the SCAILFIN Project!
© 2018 SCAILFIN Project. Site made with Jekyll and uses Bootstrap and Bootswatch.
We are part of the Department of Physics and the National Center for Supercomputing Applications at the University of Illinois. Department of Physics at the University of Notre Dame, and Department of Physics at New York University
We are grateful for funding from the National Science Foundation (OAC-1841456, OAC-1841471, OAC-1841448).
