UVM Art + AI Research Group Phase 2 (2021)

Project Information

ai, cuda, python
Project Status: Complete
Project Region: Northeast
Submitted By: Jennifer Karson
Project Email: jkarson@uvm.edu
Project Institution: University of Vermont
Anchor Institution: NE-University of Vermont

Mentors: Keri Toksu
Students: Clement Fisher, Halina Vercessi-Clarke, Cameron Bremner, Sydney Culbert

Project Description

The UVM Art + AI Research Group is seeking artist-programmers who have a solid understanding of geometry, coding skills in Python and Processing, and who have the interest and ability to work with digital visual tools such as Adobe Creative Suite (education will be provided). These team members will: help to optimize our image generation on the VACC; design methods of displaying the images for exhibition; digitize artworks to expand our dataset; and assist in defining genetic traits within our existing genetic algorithm. Image generation will be optimized by exploring how latent vectors are used in StyleGAN2-ADA. The genetic traits we wish to develop further include grid variables such as point, line and plane; micro and macro spatial relationships; and color palette. We are excited to welcome these new artist-researchers into our research group and they will participate in our team bi-weekly meetings where they can expect mentoring, education and hands-on learning in the realm of machine learning.

Additional Resources

Launch Presentation:
Wrap Presentation: June - August 2021

Project Information

ai, cuda, python
Project Status: Complete
Project Region: Northeast
Submitted By: Jennifer Karson
Project Email: jkarson@uvm.edu
Project Institution: University of Vermont
Anchor Institution: NE-University of Vermont

Mentors: Keri Toksu
Students: Clement Fisher, Halina Vercessi-Clarke, Cameron Bremner, Sydney Culbert

Project Description

The UVM Art + AI Research Group is seeking artist-programmers who have a solid understanding of geometry, coding skills in Python and Processing, and who have the interest and ability to work with digital visual tools such as Adobe Creative Suite (education will be provided). These team members will: help to optimize our image generation on the VACC; design methods of displaying the images for exhibition; digitize artworks to expand our dataset; and assist in defining genetic traits within our existing genetic algorithm. Image generation will be optimized by exploring how latent vectors are used in StyleGAN2-ADA. The genetic traits we wish to develop further include grid variables such as point, line and plane; micro and macro spatial relationships; and color palette. We are excited to welcome these new artist-researchers into our research group and they will participate in our team bi-weekly meetings where they can expect mentoring, education and hands-on learning in the realm of machine learning.

Additional Resources

Launch Presentation:
Wrap Presentation: June - August 2021