What happens when you apply machine learning research to experimental sound – and then play live in front of a festival crowd? Recently, in St. Petersburg, RU, we got to find out.
Our team for Gamma_LAB AI gathered a diverse international team of artists, musicians, musicologists, coders, and researchers, including people who are deep in the field of data science work outside of the arts. (One of our co-hosts was juggling her work in path finding for drones – so not the usual media art approach to AI!) Organizing team (of which I was the only non-Russian member this time):
From Natalia Fuchs, Curator:
“My connection to AI is coming from my general research interests: I am a media art historian and I am deeply concerned by the new media research in relation with AI nowadays. I find it extremely stimulating and exciting – this enormous philosophical quest towards finding the big “other.” So as soon as I started to work closely with Helena Nikonole, conceptual artist of Gamma_LAB, being a peer for her “deus x mchn” project at Rodchenko School in Moscow and advising this artwork to the “Open Codes” exhibition at ZKM Centre for Art and Media in Karlsruhe, I was developing my curatorial approaches to art and AI. Then there were AI-related projects for the Barbican and CTM, but Gamma_LAB for me conceptually throwing my practice back to the Polytech.Science.Art program that I [previously was] curating at the Polytechnic Museum in Moscow. The way we build the processes here including theory, applied studies, performative aspects, it brings same strategy to the next level. In terms of the scale, Gamma_LAB with its connection to the Gamma Festival ([with its] 12000 visitors) has definitely jumped much higher.”
Eink, E-paper, Think Ink – Collin shares six segments pondering the unusual low-power display technology that somehow still seems a bit sci-fi – http://adafruit.com/thinkink
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.