Category: Machine Learning
-
Vermont Creative AI: Symposium on Art + Artificial Intelligence, and more!
With Co-Organizer Chris Thompson and Burlington City Arts, I’m excited to share that registration opened this week for the Vermont Creative AI: Symposium on Artificial Intelligence + Art. Other upcoming programs include a AI Ethics panel. Additionally, we’ve developed programming for young adults and families. Join Burlington City Arts and me for an Earth Day activity on Saturday, […]
-
The Three Generations of the Damaged Leaf Dataset (DLD)
Over 800 leaves from the Damaged Leaf Dataset were shown in floor to ceiling wallpaper at Burlington City Arts this spring. All three generations were represented, DLD III (created with AI) were shown as engravings on silicon wafers. Project Description: The leaf architectures of the Damaged Leaf Dataset (DLD) are ruins and creations. Collected in […]
-
Co-Created: The Artist in the Age of Intelligent Machines
Opening Reception February 10, 2023 5-7pm Burlington City Arts Center, Burlington, Vermont Damaged Leaf Dataset Table II, 2023 (Detail) Today, intelligent machines merge with our lives in ways unimaginable just a decade ago. From recognizing our faces and interacting via speech to mapping travel routes and delivering news to our feeds, machine learning algorithms are now our constant, […]
-
2022 | The Art in Artificial Interview Series
When the Vermont Complex Systems Center at the University of Vermont hosted The Conference on Artificial Life: What Can Alife offer AI? it included a call for artists. The Art in Artificial is an interview series with some of these artists, conducted by Jenn Karson and students from the UVM Art + AI Research group. […]
-
Art + Artificial Intelligence Research Group at the University of Vermont
The UVM Art + Artificial Intelligence (AI) Research Group is engaged in an ethnographic study of artificial intelligence; we interrogate its tools. We consider machine learning a domain of artistic and artificial production and our studio work occupies its social and computational space. Concerned with the histories and futures of human-machine relationships, our research seeks […]