Course-based Undergraduate Research Experiences (CUREs) have proven effective in engaging all students in authentic research within regular coursework, enhancing learning outcomes and preparing students for graduate studies. This talk examines a novel approach to strengthening CUREs through the strategic integration of Generative AI tools in computer science education. Drawing from empirical research conducted in a machine learning course, an exploration of how foundation models can enhance the four-week CURE framework encompassing research overview, literature review, research design and methods, and paper construction. The presentation will detail specific applications of AI in supporting literature reviews, coding assistance, and concept clarification, while addressing the pedagogical considerations essential for responsible implementation. Will also discuss the observed positive trends in student perceptions of research effectiveness, particularly in literature review processes, alongside critical challenges including instructor training needs, potential over-reliance, and accessibility concerns. Speaker(s): Paula Virtual: https://events.vtools.ieee.org/m/473024