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The article delves into the profound impact of artificial intelligence (AI) on architecture, highlighting its transformative potential and the ethical questions it raises. It emphasizes the need for the architecture discipline to embrace AI literacy and engage deeply with bespoke AI models to shape the future of architectural design.

Delving into the realm of how machine learning is being used to make art, Matias del Campo interviews Munich‐based artist Mario Klingemann, who shares with us his modus operandi and aspirations for this new discipline. His work is at once uncanny, defamiliarising and estranging, and not without a hint of bodily violence – a kind of reverse butchery, an assault on the figure by the machine. [ABSTRACT FROM AUTHOR]

Architectural discourse has often been described as predicated on the lone architect genius backed by a studio of supplicant architectural assistants. In recent years there has been a swing to the idea of crediting the numerous creative collaborations in the development of the arts – buildings or not. Guest‐editor of this 2 Matias del Campo uses AI to further question the independent, original‐thinking concept of authorship before reaching the ultimate conclusion. [ABSTRACT FROM AUTHOR]

The purpose of this article is to discuss the application of artificial intelligence (AI) in the design of the Deep House project (Fig. 1), an attempt to use estrangement as a method to emancipate a house from a canonical approach to the progressive design of a one-family house project. The main argument in this text is that the results created by Artificial Neural Networks (ANNs), whether in the form of GANs, CNNs, or other networks, generate results that fall into the category of Estranged objects. In this article, I would like to offer a possible definition of what architecture in this plateau of thinking represents and how it differentiates from previous attempts to use estrangement to explain the phenomena observed when working with NNs in architecture design. A potpourri of thoughts that demonstrate the intellectual tradition of exploring estrangement, especially in theater and literature, that ultimately circles back to its implications for architecture, particularly in light of the application of AI. [ABSTRACT FROM AUTHOR]

Co‐founders and principals of architecture firm SPAN and architectural academics based at the University of Michigan, Matias del Campo and Sandra Manninger describe how they became aware of AI technology, setting out some key collaborations, familiarising us with the concept of 'defamiliarisation' and introducing us to some of SPAN's explorations in AI and architecture. [ABSTRACT FROM AUTHOR]

The article presents the discussion on computer-science papers emerging in proving valuable, interesting and informative for potential applications of AI in architecture. Topics include inquiry into the problem of designing architecture showing creativity, intuition, and sensibility; and opening up the possibility of style transfer such as transferring the stripes of a zebra onto a horse or reading an image through a neural network .

The article focuses on Matias del Campo, an architect and author, known for his research in artificial intelligence-driven architectural design, his contributions to exhibitions and symposia, and his co-founding of the acclaimed architectural practice SPAN, recognized for its innovative designs.

There are particular similarities in how machines learn about the nature of their environment, and how humans learn to process visual stimuli. Machine Learning (ML), more specifically Deep Neural network algorithms rely on expansive image databases and various training methods (supervised, unsupervised) to "make sense" out of the content of an image. Take for example how students of architecture learn to differentiate various architectural styles. Whether this be to differentiate between Gothic, Baroque or Modern Architecture, students are exposed to hundreds, or even thousands of images of the respective styles, while being trained by faculty to be able to differentiate between those styles. A reversal of the process, striving to produce imagery, instead of reading it and understanding its content, allows machine vision techniques to be utilized as a design methodology that profoundly interrogates aspects of agency and authorship in the presence of Artificial Intelligence in architecture design. This notion forms part of a larger conversation on the nature of human ingenuity operating within a posthuman design ecology. The inherent ability of Neural Networks to process large databases opens up the opportunity to sift through the enormous repositories of imagery generated by the architecture discipline through the ages in order to find novel and bespoke solutions to architectural problems. This article strives to demystify the romantic idea of individual artistic design choices in architecture by providing a glimpse under the hood of the inner workings of Neural Network processes, and thus the extent of their ability to inform architectural design. The approach takes cues from the language and methods employed by experts in Deep Learning such as Hallucinations, Dreaming, Style Transfer and Vision. The presented approach is the base for an in-depth exploration of its meaning as a cultural technique within the discipline. Culture in the extent of this article pertains to ideas such as the differentiation between symbolic and material cultures, in which symbols are defined as the common denominator of a specific group of people.1 The understanding and exchange of symbolic values is inherently connected to language and code, which ultimately form the ingrained texture of any form of coded environment, including the coded structure of Neural Networks. A first proof of concept project was devised by the authors in the form of the Robot Garden. What makes the Robot Garden a distinctively novel project is the motion from a purely two dimensional approach to designing with the aid of Neural Networks, to the exploration of 2D to 3D Neural Style Transfer methods in the design process. [ABSTRACT FROM AUTHOR]

• What are the contested histories of AI development, and possible problematic allegiances arising from association of funded research that has laid the foundations to AI infrastructures? In recent years, the field of architectural research has trended towards rapid evolution as new digital technologies that integrate artificial intelligence (AI) into design, representation, and production have become more prominent. AI, architecture, accessibility, and data justice - ACADIA special issue. [Extracted from the article]

The article presents the discussion on Matias del Campo and Neil Leach being both the architects and professors working in the area of AI. Topics include SPAN's award-winning architectural designs informed by advanced geometry, computational methodologies, and philosophical inquiry; and helding two NASA Innovative Advanced Concepts Fellowships developing 3D-printing technologies for the Moon and Mars.

The article discusses on the debate on computational design thinking, citing on the techniques, technologies and tools. It cites on the alternative frame for realism such as carved patterns, translucent columns and ultra-black asteroids. The article also discusses the characteristics of contemporary architectural production which evoke mood, atmospheric conditions and phenomenological traits of the sensual.

Vienna-based Coop Himmelb(l)au has been making adrenaline-fuelled contributions to the architectural scene ever since its foundation in 1968 by Wolf D Prix, Helmut Swiczinsky and Michael Holzer. In discussion with Guest-Editor Matias del Campo, Prix looks back over almost four decades of the firm's existence. Among other things, he reflects on its early investigations into space-modifying feedback systems in response to users' heartbeats, and on later experiments in initiating design with eyes closed in order to channel emotional impact rather than pure formal logic. [ABSTRACT FROM AUTHOR]

The leading figures of Modernism instilled a fear of ornament as something unclean and even criminal. Guest-Editor Matias del Campo calls for us to leave behind this phobia and engage anew with ornament for the purposes of generating mood and atmosphere. Here he describes two recent projects by SPAN, the Vienna-based architectural practice he cofounded with Sandra Manninger, which explore alternatives to the usual aesthetic canons by addressing classic architectural problems in bold new ways. [ABSTRACT FROM AUTHOR]