In the language of machine learning, the term “interpolation” refers to a foundational mathematical technique used to estimate unknown values that fall between known data points. Interpolation allows to fill in missing values in existing datasets, but also to create different kinds of transitions between discrete data points. In the context of this conference, “interpolation” indicates the intention to reflect on the relations and mutual interactions between the fields of AI, art, and art history.
The conference will analyze how recent developments in the field of both analytic and generative AI have profoundly transformed the ways in which images are captured, generated, modified, seen . . . → En lire plus
