CS 598 LAZ

Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

This is an advanced graduate seminar attempting to address meta-level issues in computer vision research (and in AI more generally). The format will consist of a few introductory lectures by the instructor, followed by student-led presentations in groups of up to three. Instead of focusing on cutting-edge technical topics, as is typical, this seminar will take a ?big picture? view of the research landscape and answer questions including, but not limited to, the following. What ?classical? papers from the history of the field are still relevant today? What will count as a ?classic? several decades from now? What ideas and practices from other fields (neuroscience, cognitive science, social science, etc.) should inform our research? How are breakthrough technologies such as generative models and large language models likely to affect society, and how should their development be directed or regulated? What will be the roles of academic vs. industry researchers going forward? E