Maximilian Stanley is presently pursuing a PhD at Central Saint Martins in
London. His research primarily focuses on digital aesthetics, with particular
focus on the non-representational spaces that arise from the complexity of
recursive interactions within neural networks. Exploring the inherently non
human and contingent nature of computational representation that exists
beyond the search for structure in data. To understand how digital aesthetics
has radically altered under the new paradigm of deep neural networks and the
increasing incomprehensibility and incomputability of their differential
relations and hyper dimensional vectors. 

His practice explores these ideas at the boundary between the physical and
digital, the discrete and the continuous. Constructing works from an
iterative process of feedback and distribution between various technologies
and systems. Causing a rift or break that begins to propagate and spread
within the recursive nature of interconnected systems. The artwork ultimately
emerging from the sustained inability for one system, technology or model to
perfectly resolve the other. 

Fundamentally his practice and research is looking to engage with what
constitutes a native computational creativity in the age of artificial
intelligence and how these spaces that exist as neither continuous or
discrete, reside in a place that exposes representations inability to explain
the full complexity of our current era.