Recently, a grant to study solar weather using machine learning was funded, and among those working on the project, the Applied Math听Department's own听Professor James Meiss and听Affiliate Dr. Natasha Flyer are highlighted.
In an article released by the College of Engineering & Applied Sciences titled听Building artifical intelligence to study the sun,听Dr. Meiss and Dr. Flyer are listed as partners on the project that aims to better forecast solar weather that impacts satellite communications at Earth by using artifical intelligence/machine learning. In being able to forecast solar flares and coronal mass ejections more accurately, it gives warning to those on Earth听that may be impacted, as well as gives time to brace for any ensuing outages to satellite communications, which are fundamental to many aspects of modern life.听
For more information on the project, read the original arrticle posted by the听College of Engineering & Applied Sciences, or visit the Space Weather Technoloy, Research and Education Center website.听
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