A research paper on the intersection of human expression and machine learning, as seen through the eyes of the famous abstract artist Jackson Pollock.
As a pioneer of action painting, Pollock's drip technique has long been the subject of fascination and study. This paper explores the parallels between Pollock's process and the algorithms used in machine learning, and how they might be applied to the creation of digital art.
B. A. Pollock, Chief Researcher, has a background in both abstract expressionism and machine learning. His work has been featured in numerous galleries and conferences, including the annual AI Art Show in Paris.