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The role of Artificial Intelligence (AI) in research and education continues to rapidly grow, resulting in increased collaboration between researchers in AI and Research Computing and Data (RCD) professionals to meet the research and teaching demands. RCD professionals bridge the gap between research and technology by guiding and collaborating with researchers and educators through the process of selecting the hardware, software, and services best suited for executing their AI projects. This includes ensuring compliance with funding and regulatory requirements across the entire lifecycle of the project. In this paper, we present an overview of the AI project lifecycle and how RCD professionals can facilitate its execution.more » « lessFree, publicly-accessible full text available July 18, 2026
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Vater, Ashley; Mayoral, Jaime; Nunez-Castilla, Janelle; Labonte, Jason W.; Briggs, Laura A.; Gray, Jeffrey J.; Makarevitch, Irina; Rumjahn, Sharif M.; Siegel, Justin B. (, Journal of Chemical Education)null (Ed.)
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