Today we’re joined by Ahmed Elgammal, a professor in the department of computer science at Rutgers, and director of The Art and Artificial Intelligence Lab. In my conversation with Ahmed, we discuss: • His work on AICAN, a creative adversarial network that produces original portraits, trained with over 500 years of European canonical art. • How complex the computational representations of the art actually are, and how he simplifies them. • Specifics of the training process, including the various types of artwork used, and the constraints applied to the model. The complete show notes for this episode can be found at twimlai.com/talk/265.