Creating Art through Genetic Algorithms and AI
Explore the innovative project "Art and AI: Outbreaks from the Grid" where Genetic Algorithms and Artificial Intelligence are used to generate digital artworks from physical originals. The project aims to develop an Interactive Genetic Algorithm for artistic composition, create a digital image dataset, and train a GAN for generating new artwork. Discover the achievements, lessons learned, publications, and contributions to the research computing community made during this endeavor.
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Presentation Transcript
Art and ML: Outbreaks from the Grid Student: Ethan Davis, University of Vermont ethan.davis@uvm.edu Mentor: Adrian Del Maestro, University of Vermont Adrian.DelMaestro@utk.edu Researcher: Jenn Karson, University of Vermont, Jennifer.Karson@uvm.edu Date
Art and AI: Outbreaks from the Grid Utilize Genetic Algorithms and AI to create digital artworks based on physical originals
Art and AI: Outbreaks from the Grid Goals Interactive Genetic Algorithm for artistic composition Create digital image dataset Train GAN for creating new work
Art and AI: Outbreaks from the Grid Timeframe June 2020 August 2020
Art and AI: Outbreaks from the Grid What we accomplished Bullet Bullet
Lessons Learned What went well? What could we have done differently?
Publications/Contributions Artificial Life 2020 Fleming Museum of Art (Spring 2020) Small works exhibit
Contributions to Research Computing Community Please include links and topics! None yet!
