CENIC AIR storage and computing resources are being used to investigate how AI/ML algorithms can be applied to a wide range of disciplines. Examples are drawn from the research projects of several CENIC AIR users across disciplines as diverse as astrophysics, climate change, healthcare, finance, precision agriculture, and conservation genomics. This session will highlight research use cases from CSU Dominguez Hills, CSU Fullerton, CSU Northridge, Cal Poly Humboldt, and Cal Poly San Luis Obispo, as well as from Caltech, UC San Diego, and UC Riverside.