Using the programming language MaxMSP, students will be guided through the fundamentals of artifcial intelligence so that they can incorporate their own custom- made software into their art. The course will demonstrate how artifcial intelligence can be applied to generating video and still imagery, composing and analyzing music, as well as text analysis, interactive machines, pattern recognition, data clustering, and more. Scared of all the math? Come to this class – mathophobes are welcome!
Artificial Intelligence For Artists
Adam Rokhsar
Sun, Apr 17, 2017 from noon to 6pm. Artifcial intelligence is a 60 year old quest to give computers the ability to think like people. For too long, its tools have been reserved for researchers, engineers, and members of academia. This course is designed entirely for artists. Using the programming language MaxMSP, students will be guided through the fundamentals of artificial intelligence so that they can incorporate their own custom- made software into their art. The course will demonstrate how artificial intelligence can be applied to generating video and still imagery, composing and analyzing music, as well as text analysis, interactive machines, pattern recognition, data clustering, and more. Applications for dance, theatre, and interactive installations will also be covered. People of all backgrounds and interests in the arts are welcome.
Sun, Apr 17, 2017 from noon to 6pm. Artifcial intelligence is a 60 year old quest to give computers the ability to think like people. For too long, its tools have been reserved for researchers, engineers, and members of academia. This course is designed entirely for artists. Using the programming language MaxMSP, students will be guided through the fundamentals of artificial intelligence so that they can incorporate their own custom- made software into their art. The course will demonstrate how artificial intelligence can be applied to generating video and still imagery, composing and analyzing music, as well as text analysis, interactive machines, pattern recognition, data clustering, and more. Applications for dance, theatre, and interactive installations will also be covered. People of all backgrounds and interests in the arts are welcome.
Adam Rokhsar is a multimedia artist with degrees in psychology from Cornell University and the University of Pennsylvania. He is a member of the Music Information Retrieval Laboratory, the head coordinator of the Music Technology student interest groups. While earning a Master’s degree in Music Technology from New York University, Adam designs sound for interactive installations, teaches computer music and video programming, and is working on a Master’s thesis on machine learning algorithms. His sound design work can currently be seen in the United States Holocaust Memorial Museum and the Chicago Museum of Science and Industry, and his video work was displayed in the Jakopic Gallery as part of multimedia project Senza Televisione.