At the outset, I was interested in translating apophenic interpretations of image into physical environments. We evolved apophenia to find patterns in our surroundings, a process that also occurs with convolutional neural networks (CNN), programs that create interpretative images based on the geometry of the input. Uniting human and computer visions, I used a CNN to produce a video projection and composite image based on an original apophenically inspired painting. I modeled a 3D texture from the image and used a CNC router to cut the design from wood. The piece’s pseudo-geological features roughly mirror the painting’s forms, adopting a cosmic profile when the hybrid process video is projected on the sculpture. Full Circle attempts to visualize what would emerge when technology enables direct extrusion of thought into material forms, and how those first thoughts may not only produce something entirely alien, but also expose deeper qualities of our metaphysical processes.
