Gene Kogan (@genekogan) is an itinerant artist and computer scientist, interested in the creative potential of generative systems, artificial intelligence, and new software for self-expression. He regularly publishes lectures, writings, and tutorials to facilitate a greater public understanding of machine learning; to this end, Gene initiated and contributes to ML4A, a free book about machine learning for artists, activists, and citizen scientists. He is also a collaborator on numerous open-source software projects, and leads workshops and demonstrations around the world on topics at the intersection of code, art, and technology activism.
Refreshments will be served. Open to the public.
This lecture is made possible by the Sylvia and David Steiner Speaker Series and the Frank-Ratchye STUDIO for Creative Inquiry.