PUBLICATIONS

The painting Portrait of Edmond Belamy, by the Paris based art collective Obvious14 is based on a Generative Adversarial Network(GAN) that was trained with a set of 15,000 portrait examples spanning from the 14th to 19th century.

A Question of Style – Style, Artificial Intelligence and Architecture

The complexity of the term Style consists in the unusual weight and flexibility of the concept itself. In essence the concept defines the main basic rulesets of artistic achievement and excellence. The term Style itself is a latecomer to the considerations of the examination of artistic endeavour and is being discussed in a fierce fashion to this very day. The term Style in this frame of conversation can be divided into two specific cases. Case one is the idea of Style in Architecture. Case two is the use of the term in Computer Science. In combination, these two instances form the frame of this essay on the emergence of novel considerations of style in the architecture discipline through the application of Neural Networks. More specifically: through the adoption of Style transfer as a technique.… Continue reading A Question of Style – Style, Artificial Intelligence and Architecture

The Church of AI, Mariana Sanche, Leetee Wang, PennDesign 2018.

Machine Hallucinations

The term AI is quite a generalist term and is used to describe several different approaches. In Computer Science, Artificial Intelligence is defined as the study of Intelligent Agents, which includes any device that perceives its environment and that takes actions to maximize its chance of successfully achieving its goals In general, the term Artificial Intelligence is applied when a machine mimics cognitive functions that humans associate with other human minds, such as learning and problem solving.… Continue reading Machine Hallucinations

A collection of two datasets – Baroque and Modern images – form the basis for the resulting models. (Image: Mariana Sanche & Leetee Wang, PennDesign, University of Pennsylvania 2018)

Sensibilities of artificial intelligence an examination of architecture in a posthuman design ecology

The main aim of this paper is to demonstrate a methodology of design which interrogates aspects of Artificial Intelligence and it’s abilities to develop novel sensibilities. The presented project, The Church of AI (fig1), discusses the design technique itself as well as the underlying aspects of aesthetic, ethic and existence. … Continue reading Sensibilities of artificial intelligence an examination of architecture in a posthuman design ecology

Results of 2D to 2D Style transfers based on plans: aspects of Estrangement and Defamiliarization profoundly speak in those results about a design ecology in a Posthuman era.

Imaginary Plans

Artificial Neural networks have become ubiquitous across disciplines due to their high performance in modeling the real world to execute complex tasks in the wild. This paper presents a computational design approach that uses the internal representations of deep vision neural networks to generate and transfer stylistic form edits to both 2D floor plans and building sections. The main aim of this paper is to demonstrate and interrogate a design technique based on deep learning. The discussion includes aspects of machine learning, 2D to 2D style transfers and gener- ative adversarial processes. The paper examines the meaning of agency in a world where decision making processes are defined by human/machine collaborations, and their relationship to aspects of a Posthuman design ecology. Taking cues from the language used by experts in AI such as Hallucinations, Dreaming, Style Transfer and Vision, the paper strives to clarify the position and role of Artificial Intelligence in the discipline of Architecture.… Continue reading Imaginary Plans

Results of 2D to 2D Style transfers based on Nolli plans and an image of the Moon: aspects of Estrangement and Defamiliarization prodoundly speak in those results about a design ecology in a Posthuman era.

Imaginary Maps – a Posthuman Urban Design Method based on Neural Style Transfer 

The main aim of this paper is to demonstrate and interrogate a design technique based on deep learning. The discussion includes aspects of machine learning, 2D to 2D style transfers and generative adversarial processes. The paper examines the meaning of agency in a world where decision making processes are defined by human/machine collaborations, and their relationship to aspects of a Posthuman design ecology. Taking cues from the language used by experts in AI such as Hallucinations, Dreaming, Style Transfer and Vision, the paper strives to clarify the position and role of Artificial Intelligence in the discipline of urban design.… Continue reading Imaginary Maps – a Posthuman Urban Design Method based on Neural Style Transfer