The AI Center would like to share information on a new, Seminar-Styled Course offered this semester by one of our CAII Affiliates.
Grainger College of Engineering is offering a Seminar Course titled Biologically Plausible AI this Fall. Seminars on topics of current interest will be presented and the first session is being held this Friday, August 30, 2024. Instructors of the course include Chengxiang Zhai, Ekaterina Gribkova, and Rhanor Gillette, who are all affiliates of CAII.
This Seminar course will discuss recent breakthroughs in Artificial Intelligence (AI) technologies, notably deep neural networks and reinforcement learning, which were largely inspired by our understanding of biological intelligence and how human brain works. At the same time, effective AI models such as large language models may also provide insights useful for understanding biological intelligence. This course will explore a broad range of topics in AI, as well as biological principles of intelligence and their implementation in AI. We will review current state-of-the-art AI models, with particular focus on biological plausibility.
The course setup is not quite finalized, so registration is not open yet, but it should be very soon. Keep this link bookmarked so you can register as soon as it is open!