"To know the laws of the universe from everyday life, and to refuse to see the world's changes from a satellite high above".
Late one night, I had an idea while cooking a pot of noodles: Can the process of heating and evaporating water simulate the birth and death of stars? Galaxies are mainly composed of hydrogen and oxygen, and stars form after the collapse of a molecular cloud, converting their potential energy into thermal energy. The phase change of water molecules can thus be linked to the imagination of stellar-scale energy conversion and morphological changes. From molecular change to planet generation, from an individual pixel to an overall image, there may be a similar set of laws.
Al image processing has recently attracted a lot of public attention. However, what puzzles me most is the neural network algorithm's thinking process, research goal and sources of image data. Inspired by cell communication, researchers have recently developed neural cellular automata on the foundation of classical cellular automata, expanding from a zero-and-one pixel generation to a zero-to-one floating point number generation. The program can be trained to regenerate an image after its destruction. Taking image processing as its starting point, this technology looks towards applications in synthetic biology.
《Stochastic Camera (version 0.3）》 意圖應用這些專注於組織紋理的電腦科學研究，製作地景影像，令星球看似擁有自我生長及修復的能力。作品以紅外線熱影像儀攝錄燒水的過程，以神經細胞自動機處理平面影像，生成地勢海拔圖及恆星光譜，由日常細節探究亙古不滅的恆星。
"Stochastic Camera (version 0.3) - the boiling terra "intends to apply these computer science studies on tissue texture to produce landscape images where a planet appears capable of self-growth and self-repair. Recording the process of boiling water with an infrared thermal imager and running neural cellular automata on flat images, the work generates hypsometric maps and stellar spectra to explore immortal stars from everyday details.