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Machine Architecture
KTH, School of Architecture and the Built Environment (ABE), Architecture.
2018 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis [Artistic work]Alternative title
Maskinarkitektur (Swedish)
Abstract [en]

Recent developments in AI is changing our world. It already governs our digital life. In my thesis I take the position that AI involvement in the field of architecture is inevitable, and indeed already here. AI is neither something we can simply accept, nor wholly ignore. Rather, we should try to understand and work with it. These algorithms should not be seen as mere tools with predictable, repeatable outcomes, they are something more complex. I’ve explored the world of AI by means of teaching a machine to design diverse, typologically similar objects: residential doorways from Stockholm. By instructing the machine to read and recreate these objects it has learned to design objects similar to them. While the machine does not know what it has designed, it has nevertheless reinterpreted the residential gate, thus offering an opportunity to glimpse into to the “mind” of AI, a world equally as unknown as omnipresent.

Place, publisher, year, edition, pages
2018. , p. 35
Keywords [en]
Machine Learning, Variational Autoencoder, Architecture, Thesis
National Category
Architecture
Identifiers
URN: urn:nbn:se:kth:diva-229870OAI: oai:DiVA.org:kth-229870DiVA, id: diva2:1215067
Subject / course
Architecture
Educational program
Master of Architecture - Architecture
Supervisors
Examiners
Available from: 2018-06-25 Created: 2018-06-07 Last updated: 2018-06-25Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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