| |
|
|
| |
Deep learning for music and artThis lecture and workshop given by Robert B. Lisek uses
artificial intelligence methods for creation of sound, visuals,
performance, immersive installation and interactive media. The
event introduces fundamentals of AI and its applications for
artists, composers and musicians with practical examples in
Python, Supercollider, Pure data/Max Msp. DetailsWe 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 and meta-learning that are future of AI and art.The event consists of work with main types of deep learning algorithms: * Recurrent Neural Networks and LSTM * Transformers * Generative Adversarial Networks * Convolution Neural Networks * Variational Autoencoders * Reinforcement Learning * Genetic Algorithms, Neuroevolution, HyperNEAT * Neural Ordinary Differential Equations * Meta-learning * application of different types of algorithms for constructing visual works, music compositions, immersive installations, new prototypes, and network app
Place and date
Date: 25 June, 15:30-19.30 OrganizersMedialab-Matadero Madrid ParticipationNumber of participants: 20 AuthorRobert 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:
|
|
| |
|
|
