Architecture Design in the Age of Artificial Intelligence

Campo, Matias del; Manninger, Sandra

doi:10.4324/9781003183181-8

Cited by 11 publications

(7 citation statements)

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“…Machine learning models, however, are built not from code but from neural networks, which embed information as multidimensional tensors. 23 In the case of designing with diffusion models, the implications reverse the forecast above. Instead of predictive outcomes, it is impossible to repeat the outcome of a prompt.…”

Section: Lli Models and The Deja Vu Of Aesthetic Historiesmentioning

confidence: 95%

“…Despite thousands of years of building history, architecture is a known as a data-poor discipline. 23 Architecture data sets at an architectural resolution are sparse for several reasons. Architectural notations, such as plans, are expert representations that hardly appear on social media or other web-based platforms from which large databases source today.…”

Section: Affordances Of Diffusion Models-interdisciplinary Notation T...mentioning

confidence: 99%

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More than anything: Advocating for synthetic architectures within large-scale language-image models

Koehler

2023

International Journal of Architectural Computing

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Large-scale language-image (LLI) models have the potential to open new forms of critical practice through architectural research. Their success enables designers to research within discourses that are profoundly connected to the built environment but did not previously have the resources to engage in spatial research. Although LLI models do not generate coherent building ensembles, they offer an esthetic experience of an AI infused design practice. This paper contextualizes diffusion models architecturally. Through a comparison of approaches to diffusion models in architecture, this paper outlines data-centric methods that allow architects to design critically using computation. The design of text-driven latent spaces extends the histories of typological design to synthetic environments including non-building data into an architectural space. More than synthesizing quantic ratios in various arrangements, the architect contributes by assessing new categorical differences into generated work. The architects’ creativity can elevate LLI models with a synthetic architecture, nonexistent in the data sets the models learned from.

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Section: Lli Models and The Deja Vu Of Aesthetic Historiesmentioning

confidence: 95%

Section: Affordances Of Diffusion Models-interdisciplinary Notation T...mentioning

confidence: 99%

More than anything: Advocating for synthetic architectures within large-scale language-image models

Koehler

2023

International Journal of Architectural Computing

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“…Those that look sufficiently like photographs are illusions of presence too, and this can be undermined in various ways, revealing a common spectrality. Learning models are prone to 'hallucination ' (del Campo and Leach, 2022;Alkaissi and McFarlane, 2023), and while the developers are working hard to iron-out these strange glitches and make AI a more reliable source of information, hallucinations do still occur, although they are much more noticeable in earlier versions and iterations. There were substantial changes, in this regard, even during the few months I was developing Anarchaetypologies (Coldwell, 2013b).…”

Section: Visitations (2022) By Michael C Coldwellmentioning

confidence: 99%

Camera Phantasma: Reframing virtual photographies in the age of AI

Schofield

2023

Convergence: The International Journal of Research into New Med

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The recent advent of virtual photography and artificial intelligence (specifically AI photography and diffusion models), presents a major challenge to both photographers and photography theory. All our common-sense assumptions about the ontology of the image now seem to be falling apart. Are these interlopers really photography? Can we hear the final death knell for the erstwhile medium in this era of ever-increasing media convergence and virtualisation? This practice-led investigation of these new media forms draws on the author’s recent creative work in virtual photographies, and similar interventions by other photographers and new media artists, seeking to augment and expand their practice using these new tools, whilst querying what photography really means today. From in-game photography to virtual exploration using Google Street View, to AI photography using the latest denoising diffusion models (such as Midjourney), there are surprising commonalities to explore between them, linking these new practices of image-making firmly back to traditions of lens-based photography. Rather than seeking a detailed map of this difficult new terrain, or a definitive ontology of emerging virtual photographies, the author reframes the discourse around practice, examining both photography as an evolving set of practices and also notions of media hauntology – specifically the spectral ways in which new media technologies are always haunted by prior practices and modes of communication. The importance of the frame to both traditional photography and new practices of virtual photography, is suggested as a vital and persistent dimension in photographic authorship. With that authorship increasingly contested by new generative methods, easy appropriation and AI image-making, the act of framing may become the best litmus test we have, for whether or not a photograph should be considered ‘real’ or valued.

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“…Del Campo's explorations into generative design processes facilitated by AI have underscored the potential for machine learning algorithms to produce innovative architectural forms, thereby expanding the aesthetic and functional possibilities available to practitioners. (Del Campo, 2022). Similarly, Bolojan's research into non-standard and computational design strategies has illuminated the augmentative capacity of AI in enhancing human creativity and efficiency (Bolojan, 2022).…”

Section: Shout-out To Pioneering!mentioning

confidence: 99%

Decoding the 'Artificial' Epoch: “Embracing Speculative Architectural-Design Methodologies in the era of AI by addressing the Computational Continuum”

Papadhopulli

2023

FORUM A+P

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In the contemporary epoch marked by paradigm shifts, as articulated by Saggio in "The IT Revolution in Architecture" (Saggio, 2013), our world is enmeshed in a tapestry of evolving architectural ideologies. The current correlative relationship between those, are blurred superimpositions of influential waves which define a multi-dimensional complexity which resembles a simplified fragrance of the quantum state. The integration of AI into architecture marks a seismic shift, challenging the very narrative that has historically defined architectural discourse. As AI methodologies continue to unfold, they introduce a paradoxical dynamic, redefining conventional perspectives and prompting a reexamination of architectural legacies. The roots of speculative design, deeply embedded in avant-garde movements of yore, now intersect intriguingly with the emergence of AI. Speculation, an inherent aspect of architectural exploration, discovers resonance in the iterative and generative capacities of AI methodologies. These technologies, acting as speculative agents themselves, transcend conventional design constraints, engendering a novel dialogue between human creativity and computational ingenuity. This unfolding narrative opens up new dimensions within the ever-evolving saga of architectural expression by reading and defining this dynamic tension, simultaneously challenging and aligning with tradition, propelling the discipline into unexplored territories that also embrace individualities. Within this metamorphic landscape, this research will try to articulate the correlation of generative design thinking in approaching AI generative methodologies in addressing new architectural design processes; precipitated as an emergence in the ever-evolving Architecture, Engineering, and Construction (AEC) industry. This study lays a foundation for understanding AI's role in architecture but also points to significant areas for further inquiry.

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Architecture Design in the Age of Artificial Intelligence

Cited by 11 publications

References 0 publications

More than anything: Advocating for synthetic architectures within large-scale language-image models

More than anything: Advocating for synthetic architectures within large-scale language-image models

Camera Phantasma: Reframing virtual photographies in the age of AI

Decoding the 'Artificial' Epoch: “Embracing Speculative Architectural-Design Methodologies in the era of AI by addressing the Computational Continuum”

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