Collaborative Machine learning platform for Scientific Discovery
Description
New advances in scientific applied machine learning (ML) offer an opportunity to leverage the commonalities, scientific insights and collected experience of the larger scientific user facility community across different experiments and facilities. T
Detailed example
New advances in scientific applied machine learning (ML) offer an opportunity to leverage the commonalities, scientific insights and collected experience of the larger scientific user facility community across different experiments and facilities. The result will be a shared platform that lowers the barrier to enter by leveraging the advances in machine learning methods across user facilities thus empowering domain scientists and data scientists to discover new science using existing and new data with new tools
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
New advances in scientific applied machine learning (ML) offer an opportunity to leverage the commonalities, scientific insights and collected experience of the larger scientific user facility community across different experiments and facilities. The result will be a shared platform that lowers the barrier to enter by leveraging the advances in machine learning methods across user facilities thus empowering domain scientists and data scientists to discover new science using existing and new data with new tools
Audit / financial statement impact
Does not meet definition
Controls / human review
ATO: Not reported; PIA: Not published