Architectural Plasticity: The Aesthetics of Neural Sampling

Director of Artificial‐Architecture at the Singapore University of Technology and Design (SUTD), Hokkien Foundation Career Professorship recipient Immanuel Koh enlightens us on the wonderful world of deep neural networks, formal plasticity and what they could mean for architectural form‐finding.

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Bibliographische Detailangaben
Veröffentlicht in:	Architectural design 2022-05, Vol.92 (3), p.86-93
1. Verfasser:	Koh, Immanuel
Format:	Artikel
Sprache:	eng
Schlagworte:	3D‐Autoregressive‐Chair project 3D‐GANHousing Aaron Hertzmann Adobe Aesthetics Aesthetics of Neural Network Art Alzheimer's disease Architecture Artificial neural networks artificial neural networks (ANNs) Artificial‐Architecture research group Automaticity, Plasticity, and the Deviant Origins of Artificial Intelligence Catherine Malabou Charles Moore David Bates Deep neural networks (DNNs) Erik Hoel Geoff Hinton John Outram Machine Learning for Creativity and Design Mario Klingemann mode collapse Morphing Intelligence: From IQ Measurement to Artificial Brains NeurIPS Workshop online AI Art Gallery Plastic properties Robert Pepperell Singapore University of Technology and Design (SUTD) Terry Farrell Theo van Doesburg Towards a Plastic Architecture Venice Architecture Biennale Visual Indeterminacy in GAN Art We Do with Our Brain? École Polytechnique Fédérale de Lausanne (EPFL) ‘Neural Sampling’ series ‘overfitted brain hypothesis’ (OBH)
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Beschreibung
Zusammenfassung:	Director of Artificial‐Architecture at the Singapore University of Technology and Design (SUTD), Hokkien Foundation Career Professorship recipient Immanuel Koh enlightens us on the wonderful world of deep neural networks, formal plasticity and what they could mean for architectural form‐finding.
ISSN:	0003-8504 1554-2769
DOI:	10.1002/ad.2818