Machine Learning for New Media Art – P1029-20

Date: Aug 03 - 07, 2020

Skill Level(s): II to IV i

Instructor(s): Gene Kogan

Tuition: $1,195
Studio Fee: $100
Registration Fee: $45

Concept:

Step into the future during this week-long workshop that surveys the application of machine learning to new media art. Participants engage in a broad overview of emerging techniques for processing multimedia data toward the creation of AI-assisted generative art and interactive installation. Current technical skills and practical resources for implementation are facilitated by distributing a collection of ready-made software tools. Students produce novel artworks within the specific contexts inspiring to them. The course supplements practical training with more theoretical study and discussions of the critical issues in the field at large.

Media:

Apply classification and regression to image, sound and text data, webcam image classification, audio clustering and navigation, procedural algorithms for generative art, navigating a terminal, deploying cloud computation

Faculty:

Gene Kogan is an artist who is interested in generative systems, artificial intelligence and software for creativity and self-expression. He is a collaborator within numerous open-source software projects and leads workshops and demonstrations on topics at the intersection of code and art. Gene initiated ml4a, a free book about machine learning for artists, activists and citizen scientists.

genekogan.com

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