René Descartes advised in the 1600s to insert the eyes of a human or other large mammal into the camera obscura gap, eliminating the insecurities of human vision, the possible disruption of the senses. Google Image Search failed to identify  the image of an apple that started to rot and suggested trying to find a cleaner, simpler image for better results.
My goal is to research a visual study of how our image of the world is transformed by new visual technologies. What does it mean that the world of algorithms is based on images that are determined by us rather than a real perception? Is it possible to describe the world of worldly objects as a network or as a combination of already familiar signals? What new image syntax, structures, and associations can result from machine learning? How can the apple be substituted but still being an apple?