07 March | 19:00 - 22:30

Real-time applications of machine learning

This workshop by Gene Kogan will introduce machine learning tools which can be used in real-time applications like interactive installation and live performance. These new methods from computer vision and machine listening can be deployed to facilitate the parsing, visualization, and fast retrieval of relevant media, from images to sounds to text. The workshop will include a high-level introduction to the theory of these methods, and distribute open-source applications for use on your own media collections.

Gene Kogan is an artist and a programmer 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, art, and technology activism. Gene initiated and contributes to ml4a, a free book about machine learning for artists, activists, and citizen scientists. He regularly publishes video lectures, writings, and tutorials to facilitate a greater public understanding of the topic.