This project-based experiential course is designed for students with a strong background in machine learning methods who are interested in studying and experimenting with building platforms in specific application domains. Students form interdisciplinary teams to develop innovative solutions leveraging generative AI technologies to address societal challenges across education, healthcare, knowledge access, and resource allocation. Applications of interest include improving educational accessibility, enhancing healthcare delivery, bridging knowledge gaps across communities, and optimizing resource distribution through AI-powered systems.Prerequisites: Instructor's permission is required to take the course.
3 units · Letter (ABCD/NP)
This project-based experiential course is designed for students with a strong background in machine learning methods who are interested in studying and experimenting with building platforms in specific application domains. Students form interdisciplinary teams to develop innovative solutions leveraging generative AI technologies to address societal challenges across education, healthcare, knowledge access, and resource allocation. Applications of interest include improving educational accessibility, enhancing healthcare delivery, bridging knowledge gaps across communities, and optimizing resource distribution through AI-powered systems.Prerequisites: Instructor's permission is required to take the course.