Given the extensive data sources represented by urban environments, this book investigates the potential of architecting for cities using large-scale models â the technological underpinning of Generative AI.
Given the extensive data sources represented by urban environments, this book investigates the potential of architecting for cities using large-scale models â the technological underpinning of Generative AI.
Daniel Koehler is an urbanist, architect, and Assistant Professor of Architecture Computation at UT Austin. His research, previously conducted at the Bartlett in London and Innsbruck University, led to his first book The Mereological City (Transcript/Columbia Press), examining part-relationships in modernist urbanism. Koehler's work has been exhibited internationally and is included in the Centre Pompidou's permanent collection. He serves on the ACADIA board of directors and the IJAC editorial board. At the intersection of architecture and computation, his research navigates the paradoxes and potentials of AI and digitalization, developing typological interventions that reveal environmental, economic, and societal synergies.
Inhaltsangabe
1. Introduction - The City as the Affordance of Language 2.The Digital City and the Erosion of Human-Centric Design 3.Out of the Blue: Computing Beyond the Virtual 4.The Generated City 5.Model: From Representation to Synthesis 6.Language to Latent Space: Architecture's New Materialism 7.Large: The Architecture of Scale 8.From Dialectics to Superposition: Architectural Implications of Computational Criticality 9.Architecture as an Embedding of Languages
1. Introduction - The City as the Affordance of Language 2.The Digital City and the Erosion of Human-Centric Design 3.Out of the Blue: Computing Beyond the Virtual 4.The Generated City 5.Model: From Representation to Synthesis 6.Language to Latent Space: Architecture's New Materialism 7.Large: The Architecture of Scale 8.From Dialectics to Superposition: Architectural Implications of Computational Criticality 9.Architecture as an Embedding of Languages
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