Figure 1: In this example, a neural network is trained to dream or ‘hallucinate’ the features of arches on a given depth rendering to impose novel geometric structure into the input, and then to perform a style transfer between a rendered texture image from a student’s 3D model upon the result of the dreaming process. Works by Hannah Daugherty, Mariana Moreira de Carvalho, Imman Suleiman.

Towards Hallucinating Machines – Designing with Computational Vision

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.

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.

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.

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 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.

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

Machine Hallucinations

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.

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

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.