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Neural Architecture: Architecture and Artificial Intelligence

Author/EditorCampo, Mathias Del (Author)
Publisher: Oro Editions
ISBN: 9781951541682
Pub Date10/10/2022
BindingPaperback
Pages250
Dimensions (mm)229(h) * 178(w)
As a new player is currently entering the field, artificial Intelligence, we ask: how does architecture take part in this conversation? This is the topic we are ready to delve into.
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This book explores the interdisciplinary project that brings the long tradition of humanistic inquiry in architecture together with cutting-edge research in artificial intelligence. The main goal of Neural Architecture is to understand how to interrogate artificial intelligence - a technological tool - in the field of architectural design, traditionally a practice that combines humanities and visual arts. Matias del Campo, the author of Neural Architecture is currently exploring specific applications of artificial intelligence in contemporary architecture, focusing on their relationship to material and symbolic culture. AI has experienced an explosive growth in recent years in a range of fields including architecture but its implications for the humanistic values that distinguish architecture from technology have yet to be measured. The book illustrates in a series of projects a set of crucial questions for the development of architecture in the future. An opportunity to survey the emerging field of Architecture and Artificial Intelligence, and to reflect on the implications of a world increasingly entangled in questions of the agency, culture and ethics of AI.

This book explores the interdisciplinary project that brings the long tradition of humanistic inquiry in architecture together with cutting-edge research in artificial intelligence. The main goal of Neural Architecture is to understand how to interrogate artificial intelligence - a technological tool - in the field of architectural design, traditionally a practice that combines humanities and visual arts. Matias del Campo, the author of Neural Architecture is currently exploring specific applications of artificial intelligence in contemporary architecture, focusing on their relationship to material and symbolic culture. AI has experienced an explosive growth in recent years in a range of fields including architecture but its implications for the humanistic values that distinguish architecture from technology have yet to be measured. The book illustrates in a series of projects a set of crucial questions for the development of architecture in the future. An opportunity to survey the emerging field of Architecture and Artificial Intelligence, and to reflect on the implications of a world increasingly entangled in questions of the agency, culture and ethics of AI.

Matias del Campo is a registered architect, designer and educator. Founded together with Sandra Manninger in Vienna 2003, SPAN is a globally acting practice best known for their application of contemporary technologies in architectural production. Their award-winning architectural designs are informed by advanced geometry, computational methodologies, and philosophical inquiry.

Acknowledgments 10 Preface, Mario Carpo 16 Prologue, Matias del Campo 22 Chapter I - This Building Does Not Exist -An Attempt at a Theory of Neural Architecture What does a Melange have to do with Artificial Intelligence? Familiar but Strange: Bits, Pieces, Features & Neurons With or Without you - Dependency between Concrete and Abstract Objects Neural Networks are Abstract Objects. Properties It's complicated - about a Relationship About Wild Features and How to Capture Them Things, Facts, and the Ontology of Neural Networks What About Aesthetics, Agency, and Authorship? Aesthetics of Neural Architecture The Sensibility of Neural Architecture Agency in Neural Architecture Neural Architecture is a New Paradigm References 48 Chapter II - The Robot Garden The Robot Garden How to Test a Robot Posthuman Design is here. Big Data, AI and Architecture Design References 62 Chapter III - In the Valley of the Hallucinating Machines. Computational Vision as Design Method What Would Turing Do? Architecture's Empathy Towards Images and Representation How to Recognize a Gothic Column The Nature of Neural Networks Learning Architectural Features Fountains, Figures, and Features - or How to Confuse an AI What it Means to Be a Pixel Machines Hallucinating Architecture References 84 Chapter IV - Not a Question of Style-Style, Artificial Intelligence and Architecture A Closer Look into the Suspicious Noun Style When Aesthetics Collide with Technology References 110 Chapter V - Talking Architecture Talking Architecture Materials and Methods Initial Modeling Attentional Generative Adversarial Network The Urban Context of the Design Signs, Scripts, and Codes-A Theory of the Artificial References 130 Chapter VI - How Machines Learn to Plan-A Critical Interrogation of Machine Vision Techniques in Architecture How machines learn to see A Posthuman Trajectory for Plan Formation Estranged - but in a good way Neural Networks and Learning the 2-D Visual World Modeling the Style of the Real World The Defamiliarization of the City, or An Alternative Utopia References 156 Chapter VII - Space: The Final Frontier (How to Wrangle a Neural Network to Deal with 3D Models) Terms of Engagement: Aesthetics, Agency, Sensibility, and Other Nasty Problems Aesthetics Sensibility Agency Authorship Database Construction Neural Optimization Framework Experiments and Results So, Can a Neural Network Learn a Sensibility? References

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