Perception is the procedure of acquiring, interpreting, selecting and organizing sensory information. Perception presumes sensing. In people, perception is aided by sensory organs. In the area of Artificial Intelligence (A.I.), the perception mechanism puts the data acquired by sensors together in a meaningful manner.
Machine perception is the ability of a computer system to interpret data in a manner that is similar to the way humans use their senses to relate to the world around them. Inspired by the brain, deep neural networks (DNN) are thought to learn abstract representations through their hierarchical architecture. Using an artistic approach to interpret the learning mechanism of an A.I.-based projection-mapping technique, we challenge the dominant perception system of an artificial intelligence as practiced today, which is purely objective and reductionist.
Direction and animation: VOID (www.bevoid.co)
Directors: Yusuf Emre Kucur, Bahadır Dağdelen
Producers: Evren Erbasol, Baris Serdar
Concept development: Selay Karasu
Project manager: Selay Karasu
A/V Artists: Yusuf Emre Kucur, Bahadır Dağdelen, Gokhan Dogan, Kerem Akgun