Virtual sunspots help AI find rare magnetic matches in vast solar archives
Research led by Southwest Research Institute (SwRI) has integrated three types of machine learning models to generate solar magnetic patches with physical properties and used those as a query to find matching patches in real observations. This elevates generative artificial intelligence (AI) from a means to produce artificial data to a novel tool for scientific data interrogation, supporting applicability beyond the heliophysics domain. The paper is published in The Astrophysical Journal Supplement Series.
phys.org
Go to Source

Comments are closed, but trackbacks and pingbacks are open.