Machine Hallucination by Refnik Anadol has recently debuted in New York City at ARTECHOUSE in New York City. This exhibit uses machine learning algorithms on a data set of images of architectural styles and movements. The result reveals the correlation between moments in architectural history. The images produced help visually represent moments in a city that may have gone unnoticed to the user prior. Fluid motions are used to represent how city movements are continuous and the images projected on them help show how complex cities are.
Refnik Anadol is a media artist, director, and entrepreneur in the aesthetics of machine learning. This project allowed him to merge his traits and compose an exhibit that was rooting in machine learning but has an artistic execution of the data collected. He presents a new way to look at images from a city by showing viewers what they’ve already seen but in a fluid, continuous memory.