Develop a Machine Learning Framework for Optimal Computational Campaigns for Complex Uncertain Systems
Description
'Two projects to use machine learning to acclerate the design of optimal strategies and robust computational campaigns for complex systems in the presence of substantial data and model uncertainty, and/or which have processes that span multiple scale
Detailed example
'Two projects to use machine learning to acclerate the design of optimal strategies and robust computational campaigns for complex systems in the presence of substantial data and model uncertainty, and/or which have processes that span multiple scales'
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
'Two projects to use machine learning to acclerate the design of optimal strategies and robust computational campaigns for complex systems in the presence of substantial data and model uncertainty, and/or which have processes that span multiple scales'
Audit / financial statement impact
Does not meet definition
Controls / human review
ATO: Not reported; PIA: Not published