Strange, But Familiar Enough: The Design Ecology of Neural Architecture

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’ a...

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Veröffentlicht in:	Architectural design 2022-05, Vol.92 (3), p.38-45
Hauptverfasser:	Campo, Matias, Manninger, Sandra
Format:	Artikel
Sprache:	eng
Schlagworte:	24 Highschool Aaron Hertzmann AI AlphaGO Architecture Arthur Flexer attentional generative adversarial networks (AttnGAN) China convolutional neural network (CNN) Daniel Bolojan dataset DeepMind defamiliarization Demis Hassabis Design Ecology Ford Motor Company Robotics Building Francis Bacon GAN art generative adversarial network (GAN) Go game graph convolutional neural network (GCNN) graphics processing units (GPUs) House Alpha Immanuel Koh Institute of Artificial Intelligence (OFAI) interpolation Jacques Derrida Jessy Grizzle Kyle Steinfeld Lee Sedol Mario Klingemann Memories of Passersby I Robert Pepperell Robert Trappl Robot Garden Shenzhen SPAN The Butcher's Son University of Michigan Robotics Institute Vienna Viktor Shklovsky
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Beschreibung
Zusammenfassung:	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.
ISSN:	0003-8504 1554-2769
DOI:	10.1002/ad.2811