Architectural Plasticity: The Aesthetics of Neural Sampling. (7th April 2022)

• Record Type: Journal Article
• Authors: Koh, Immanuel
• Other Names: del Campo Matias guestEditor.; Leach Neil guestEditor.
• Is Part Of: Architectural design. Volume 92:Number 3(2022)
• Page Start: 86
• Page End: 93
• Publication Date: 2022-04-07
• Subjects: We Do with Our Brain? -- Catherine Malabou -- Alzheimer's disease -- Morphing Intelligence: From IQ Measurement to Artificial Brains -- David Bates -- 'Automaticity, Plasticity, and the Deviant Origins of Artificial Intelligence' -- Deep neural networks (DNNs) -- 'mode collapse' -- Erik Hoel -- 'overfitted brain hypothesis' (OBH) -- artificial neural networks (ANNs) -- Adobe -- Aaron Hertzmann -- Geoff Hinton -- 'Aesthetics of Neural Network Art' -- 'Visual Indeterminacy in GAN Art' -- Mario Klingemann -- Robert Pepperell -- 'Neural Sampling' series -- École Polytechnique Fédérale de Lausanne (EPFL) -- Artificial‐Architecture research group -- Singapore University of Technology and Design (SUTD) -- online AI Art Gallery -- NeurIPS Workshop -- Machine Learning for Creativity and Design -- 3D‐Autoregressive‐Chair project -- 3D‐GANHousing -- Venice Architecture Biennale -- Theo van Doesburg -- 'Towards a Plastic Architecture' -- Charles Moore -- Terry Farrell -- John Outram; 729
• DOI: 10.1002/ad.2818
• Languages: English
• ISSNs: 0003-8504

Abstract

Abstract: 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.