Visual Intelligence: Machines and Minds

This lecture delves into the study of visual intelligence, exploring the connection between natural and artificial visual systems. Topics covered include the evolution of eyes, blind spots, biomimicry, aerodynamics, and the two-way relationship between natural and artificial systems. The course emphasizes defining problems rather than providing solutions, targeting those interested in open-ended learning and research in vision and perceptual AI. Prerequisites include machine learning, deep learning, reinforcement learning, and expertise in common frameworks. The grading consists of projects and homework assignments, with resources such as SCITAS and Google Cloud available. The course fosters a culture of sharing and curiosity, encouraging students to engage with additional resources and participate actively in discussions.