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 a practical course with the use of Python, Supercollider, Pure data/Max Msp and hacking analogue devices for detection, creation and amplification of noise.
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.
DATE: Friday 22 March 2019
TIME: 13:00 – 17:30 hrs
LOCATION: STEIM, Schipluidenlaan 12, Amsterdam
To register please send an email to Robert: email@example.com
Max number of participants: 15
What to bring: Laptop, you don’t need to have any programing knowledge.
The workshop consists of:
* work with main types of learning algorithms: Deep Learning, Recurrent Neural Networks, Reinforcement Learning, GAN, Genetic Algorithms, supervised and unsupervised learning, data sampling, backpropagation, explorations of environment, generalization, experimentation, speech recognition, image recognition etc.
* practical application of different types of random generators for constructing visual works, music compositions (random generators, random walks, etc), dealing with large systems of events: probability distributions (average, spread, deviation)
* extraction of randomness from a physical processes through hacking analogue devices for detection, amplification, sonic and visual analysis (electromagnetic fields, gas particles, photons and decay of radioactive materials)
* applications RNN and DL in building of new prototypes, artworks and network app
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: