GULI SILBERSTEIN

(Inglaterra - England)

GULI SILBERSTEIN - is a London-based artist creating digital works since 2001, following his graduation from the MA in Media Studies program in The New School University, New York, USA. His artwork is characterised by processing personal recordings, found footage, and mixes of both, by digital technologies such as 'glitch', and lately focusing on the exciting possibilities inherent in Artificial Intelligence. His work has won awards and been shown in numerous festivals, art venues and online platforms worldwide


TÍTULO - TITLE

MELTDOWN

DURAÇÃO - TIME

05'56''

ANO - YEAR

2018

PAÍS - COUNTRY 

(Inglaterra - England)

FORMATO - FORMAT  

16:9


8-1S  MELTDOWN -  Guli Silberstein   1ª SESSÃO | 1st SESSION

IMAGE PLAY ► International Video Art Festival - III Edition 2021 (Funchal, Madeira - Portugal)

CREDITS:

Guli Silberstein Concept and Video.

Music: Star City - Audio Network

SYNOPSIS:

MELTDOWN: A stream of audio-visual material interweaving environmental, cultural and social crises, addressing exploitation of both natural and human resources, and the overall meltdown of environmental and economical balancing systems. The work overflows the viewer with images and sounds collected from online media and personal filming, echoing superfluous information, waste, disasters, unrest and climate damage.


TÍTULO - TITLE                              DURAÇÃO - TIME              ANO - YEAR             PAÍS - COUNTRY                FORMATO - FORMAT

SOMEWHERE WE LIVE                           05'49''                             2020                (Inglaterra - England)                             16:9           IN LITTLE LOOPS


5-2S  SOMEWHERE WE LIVE IN LITTLE LOOPS - Guli Silberstein   2ª SESSÃO | 2nd SESSION

IMAGE PLAY ► International Video Art Festival - III Edition 2021 (Funchal, Madeira - Portugal)

CREDITS:

Guli Silberstein Concept and Video. 

+ Music: No Remorse - Audio Network

SYNOPSIS:

SOMEWHERE WE LIVE IN LITTLE LOOPS: A collaboration with a machine-learning based AI technology of next-frame prediction. The computerised synthesis of images by a neural network learns video clips and then guesses how they will continue, recreating them in the process. The reborn video images are then woven together into an audio-visual poem, revealing both computer and human cognition processes and raising reflections regarding the implications and future of this new technology.