Closed Loop is a recording of two artificial intelligence models conversing with each other - one with words the other with images - in a never-ending feedback loop. The words of one describe the images of the other, which then seeks to describe the words with a fresh image… Two neural networks getting lost in their own nuances, sparking and branching off each other as they converse in a perpetual game of AI Chinese whispers.
Two neural networks: a language captioning recurrent neural network writing what it sees in the images generated, and a generative neural network generating images responding to the words generated.
Two datasets to train the algorithms: a dataset of 4.1 million captioned images to train a language network, and the Imagenet dataset of 14.2 million photographs to train the image generator network.
Single channel rendering of two channel video installation
Installation shot of Closed Loop shown as two back projected suspended screens, Slade Degree Show 2017