Rebecca Uliasz

Convergence

In Convergence, all signal collapses into one. Like a sub-perceptual network flow, data materializes as light, become sound, become a slight movement of the hand, dematerializes back into the flickering feedback loops, after-image still burned into the retina as the network short-circuits, ready to cascade into noise. The body becomes the instrument for the cyborg-performer; the skin is already a matrix, the body without organs is the perfect vehicle for immediate feedback. Through chaos, error and misalignment, repetition begins to produce a difference. The cyborg-system creates a newly tooled network for altering the signal, a reclaimed modulation, even as entropy overcomes.

Rebecca Uliasz conducts research in the intersections of live electronic performance, audio and visual processing, machine learning, and phenomenology. Her work engages with contemporary technologies in order to create aesthetic systems that seek to question the relationship between perception, experience, meaning-making, and consciousness. Her work commonly takes the form of interactive installation, time-based performance, A/V noise improv, custom made hardware and software tools, and multi-media collaboration.

She has exhibited her work in a number of institutional and non-traditional venues such as- Centro Cultural Sao Paulo, The Metropolitan Museum of Art, SUNY Stony Brook University, The Center for Excellence in Wireless Information Technology (CEWIT), The Islip Art Museum, Marymount California University, POWRPLANT, Peripheral Forms Gallery, Gallery Protocol, The Wrong Biennial (2017,2015), and Brooklyn Bridge Park. She has performed at a number of festivals, galleries and venues including H0L0, Spectrum, NYC, Gaze Festival at Gallery Protocol, FL, CultureHub NYC, Babycastles, NYC, Radiator Gallery, NYC, and the Velvet Lounge, NY. She is currently a PhD candidate in the department of Computational Media, Arts, and Cutures at Duke University, where she is also a fellow in the John Hope Franklin Humanities Center PhD Lab in Digital Knowledge.