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 introductory session will be held on Friday, August 29, 2025. Instructors of the course include CAII affiliates ChengXiang Zhai, Rhanor Gillette, and Ekaterina Gribkova, as well as Yuji Zhang, Ke Yang, and Xiaocong Yang.
This Seminar course will discuss recent breakthroughs in Artificial Intelligence (AI) technologies, many of which were inspired by our understanding of biological intelligence and how the human brain works. This course will explore a wide range of topics in AI, with a particular focus on interpretability, and biologically plausible AI agents and their development towards human-level intelligence. Each week we will review, present, and discuss current state-of-the-art AI models, while specifically focusing on biological plausibility and AI interpretability.
To register for the course (CS 591 BAI), please use the CRN 35969 (additional course registration details and schedule are available here).