Drawing on process philosophy, Munster approaches computational experience through its relations and operations. She combines deep learning-the subfield of machine learning that uses neural network architectures-and aesthetics to offer a way to understand the insensible and frequently imperceptible forms of nonlinear and continuously modulating statistical function.

Anna Munster explores aesthetics, artificial intelligence, and machine learning to understand the contours of computational experience and the possibility to artfully use AI to create new futures.