Aesthetics is what happens when our brains interact with content and go, "ooh pretty, give me more of that please." Whether it's a starry night or The Starry Night, the sound of a scenic seashore or the latest single from Megan Thee Stallion, understanding how the sensory experiences that scintillate us most deeply do so has spawned an entire branch of philosophy studying art, in all its forms, as well as how it is devised, produced and consumed. While what constitutes "good" art varies between people as much as what constitutes porn, the appreciation of life's finer things is an intrinsically human endeavor (sorry, Suda) -- or at least it was until we taught computers how to do it too. The study of computational aesthetics seeks to quantify beauty as expressed in human creative endeavors, essentially using mathematical formulas and machine learning algorithms to appraise a specific piece based on existing criteria, reaching (hopefully) an equivalent opinion to that of a human performing the same inspection. This field was founded in the early 1930s when American mathematician George David Birkhoff devised his theory of aesthetics, M O/C, where M is the aesthetic measure (think, a numerical score), O is order and C is complexity.