CYBORG MISPRISION

AI NEURAL NET STYLE TRANSFER

Type: Design Research
Duration: January - April 2019

Description:
Through the collection, sampling and processing of image data using convolutional neural net style transfer, cyborg misprision attempts to defamiliarize common categorizations normally associated with various typologies of form and style. In this case, formal characteristics of the industrial and utilitarian and the gothic and baroque were synthesized into a strange hybrid that is at once familiar and at once uncanny.