Artificial intelligence for art and music

Subject is not scheduled Not scheduled

Code Completion Credits Range Language Instruction Semester
308MAI Z 1 English summer

Subject guarantor

Name of lecturer(s)

Learning outcomes of the course unit

This workshop given by Robert B. Lisek uses randomness and artificial intelligence methods for creation of sound, visuals, performance, installation, interactive media, physical computing, and networking. This is practical course with the use of Supercollider, Pure data/Max Msp, Fluxus, Python, Lisp and hacking analogue devices for detection, creation and amplification of noise.

Mode of study

Lecture and practical workshop.

Prerequisites and co-requisites

Bring your laptop

Course contents

We observe the success of artificial neural networks in simulating human performance on a number of tasks: such as image recognition, natural language processing, etc. However, There are limits to state-of-the- art AI that separate it from human-like intelligence.Today’s AI algorithms are limited in how much previous knowledge they are able to keep through each new training phase and how much they can reuse. We must focus on self-improvement techniques e.g. reinforcement learning and integrate it with deep learning, recurrent networks, etc.

The workshop consists of:

Recommended or required reading

Robert B. Lisek (2018). AIA: Artificial intelligence for art, Proceedings of Electronic Visualisation and the Arts EVA London.

Robert B. Lisek (2017). Artificial Intelligence for Art. Digimag Journal #76. Smart Machines for Enhanced Arts.

Assessment methods and criteria

100% attendance, participation and exercises.

Note

Robert B. Lisek is an artist, mathematician and composer who focuses on systems, networks and processes (computational, biological, social). He is involved in a number of projects focused on media art, storytelling and interactive art. Drawing upon post-conceptual art, software art and meta-media, his work intentionally defies categorization. Lisek is a pioneer of art based on Artificial Intelligence and Machine Learning. Lisek is also a composer of contemporary music, author of many projects and scores on the intersection of spectral, stochastic, concret music, musica futurista and noise. Lisek is also a scientist who conducts research in the area of foundations of science (mathematics and computer science). His research interests are category theory and high-order algebra in relation to artificial general intelligence. Lisek is a founder of Fundamental Research Lab and ACCESS Art Symposium. He is the author of 300 exhibitions and presentations, among others: SIBYL - ZKM Karlsruhe; SIBYL II - IRCAM Center Pompidou; QUANTUM ENIGMA - Harvestworks Center New York and STEIM Amsterdam; TERROR ENGINES - WORM Center Rotterdam, Secure Insecurity - ISEA Istanbul; DEMONS - Venice Biennale (accompanying events); Manifesto vs. Manifesto - Ujazdowski Castel of Contemporary Art, Warsaw; NEST - ARCO Art Fair, Madrid; Float - Lower Manhattan Cultural Council, NYC; WWAI - Siggraph, Los Angeles. More:

http://fundamental.art.pl/

Further information

No schedule has been prepared for this course

The subject is a part of the following study plans