Concept Text: Ilan Manouach’s previous work and research has shown, comics are particularly amenable to programmatic processes. From his early comic book appropriations to the latest book based on the orchestrated work of hundreds of comics artists, each project can be easily described as a set of instructions, in a programmatic fashion that highly resembles the bottom-up algorithmic processes of deep neural nets in machine learning. His current research project Applied Memetic is focused on Generative Adversarial Networks and their ability to generate novel images by emulating the probability distribution of given training datasets. The main motivation is to apply … Continue reading Applied Memetic: Developing and researching synthetic media content