This project aims to develop machine learning models and tools that create compelling art and music, and to engender a collaborative community of artists, coders, and machine learning researchers. Its research builds on existing work in image generation using neural networks, and grapples with questions such as how to generate art that is dynamic and surprising, exhibits a long-term narrative arc of sorts, and can be fairly evaluated. In addition, the project more broadly investigates the confluence of art and technology through Artists and Machine Intelligence, a program that brings together artists and engineers to realize projects using machine intelligence and has, since February 23, 2016, blogged about art's symbiotic relationship with technology.