Excessive Resolution: From Digital Streamlining to Computational Complexity

Carpo, Mario

doi:10.1002/ad.2114

Cited by 5 publications

(13 citation statements)

References 2 publications

(2 reference statements)

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“…However, this approach can be expanded in multimateriality and multi-fabrication techniques, and also the exploration of novel aesthetic meanings. Similar to the shift of the meaning of the value of the ornament in architecture [7], new aesthetic values might arise as the result of design alternatives.…”

Section: Resultsmentioning

confidence: 99%

“…The marginal cost of a voxel is always the same, no matter how many we print. In this way, 3D printing brings the logic of customization from the macro to the micro scale of production of physical matter, and at previously unimagined levels of complexity and granularity [7]. Utilization of additive manufacturing methods is clearly ideal when designing with different resolutions.…”

Section: Introductionmentioning

confidence: 99%

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A Multi-resolution Design Methodology Based on Discrete Models

Guevara

Borunda

Krishnamurti

2019

Communications in Computer and Information Science

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The use of programming languages in design opens up unexplored and previously unworkable territories, mainly, in conventional architectural practice. In the 1990s, languages of continuity, smoothness and seamlessness dominated the architectural inquiry with the CNC milling machine as its manufacturing tool. Today's computational design and fabrication technology look at languages of synthesis of fragments or particles, with the 3D printer as its fabrication archetype. Fundamental to this idea is the concept of resolutionthe amount of information stored at any localized area. Construction of a shape is then based on multiple areas of resolution. This paper explores a novel design methodology that takes this concept of resolutions on discrete elements as a design driver for architectural practice. This research has been tested primarily through additive manufacturing techniques.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multi-resolution Design Methodology Based on Discrete Models

Guevara

Borunda

Krishnamurti

2019

Communications in Computer and Information Science

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Section: Discussionmentioning

confidence: 96%

“…This talks to Carpo’s argument of digital technology challenging Modernist principles by letting ‘ornamentation’ back in (2016) and architectural authorship (2013). Following Carpo ‘ornamentation’, as excessive algorithmic shapes and forms, tends to create a ‘feeling of alienation’ (Carpo, 2016: 83). Likewise, digital technology opening for collaborative practices, constitutes a threat for the architect’s authorial status as it reduces the architect to curator and form finder (Carpo, 2013: 60).…”

Section: Discussionmentioning

confidence: 96%

“…The atmosphere is created through relational interaction, which is of both a social and sensory order, a sensory and affective spatial process that disassembles the mimetic representation of space. These changes in digital technology, according to Carpo, challenge both core Modernist architectural principles (2016: 83) and architectural authorship (2013: 58).…”

Section: Designing Atmospherementioning

confidence: 99%

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Organization, atmosphere, and digital technologies: Designing sensory order

Jørgensen

Holt

2019

Organization

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We argue technology and organization are inherently spatial phenomenon. We conceptualize this conjunction as atmosphere: a gathering of mood, human practice, material and environmental conditions, and values that has sufficient coherence and distinction to constitute a distinct interior. Atmospheres, however, are not entirely stable and present: the interior is porous to outside influence, and the interior is never wholly ordered. We show this through the study of digitally mediated architectural design practice. We find the technological mediation of atmospheres is constituted in sensory and affective spatial arrangements, and not in rationally calculated configurations of assets and goals. An atmosphere is inherently aesthetic. This allows us to gesture toward a definition of organization as technologically mediated spatial struggle to reconcile interior coherence with outward exposure.

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Towards Hallucinating Machines - Designing with Computational Vision

Campo

Carlson

Manninger

2020

International Journal of Architectural Computing

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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.

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Excessive Resolution: From Digital Streamlining to Computational Complexity

Cited by 5 publications

References 2 publications

A Multi-resolution Design Methodology Based on Discrete Models

A Multi-resolution Design Methodology Based on Discrete Models

Organization, atmosphere, and digital technologies: Designing sensory order

Towards Hallucinating Machines - Designing with Computational Vision

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