Machine Learning for Artists & Designers
Gene Kogan
This workshop introduces the application of machine learning
to art, design, and interactivity. Machine learning is a field in computer
science which tries to make computers smarter by letting them learn from vast
amounts of data to solve problems in artificial intelligence. We will show how
to apply machine learning for processing multimedia data toward the creation of
AI-assisted generative art and interactive installation.
Students will produce
visual artworks through a collection of readymade software tools. The workshop
will include a theoretical overview of the techniques, an introduction to the
tools, and some critical discussion of AI technology in society. Among the
skills we will learn, some will be for real-time and interactive contexts, such
as webcam image classification and audio clustering and navigation, while
others are non-real-time, including algorithms for generative graphics.
| Gene Kogan Gene Kogan is an artist and a programmer who is interested in autonomous systems, collective intelligence, generative art, and computer science. He is a collaborator within numerous open-source software projects, and gives workshops and lectures on topics at the intersection of code and art. Gene initiated ml4a, a free book about machine learning for creative practice, and regularly publishes video lectures, writings, and tutorials to facilitate a greater public understanding of the subject. |
4h seminar
Saturday December 5th 2020
4pm-8pm
Requirements:
This will be straightforward for beginners who use Runway ML, ml5.js, but all are welcome.
Saturday December 5th 2020
4pm-8pm
Requirements:
This will be straightforward for beginners who use Runway ML, ml5.js, but all are welcome.
