The book provides 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. 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. This book explores the interdisciplinary project that brings the long tradition of humanistic inquiry in architecture together with cutting-edge research in artificial intelligence.
By:
Matias del Campo
Imprint: Oro Editions
Country of Publication: United States
Dimensions:
Height: 229mm,
Width: 178mm,
Weight: 680g
ISBN: 9781951541682
ISBN 10: 1951541685
Pages: 250
Publication Date: 01 January 2022
Audience:
General/trade
,
ELT Advanced
Format: Paperback
Publisher's Status: Active
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
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.
Reviews for Neural Architecture: Design and Artificial Intelligence
In Neural Architecture, Design and Artificial Intelligence, Matias Del Campo sets sail for an adventure into the unknown. But like the Viennese philosopher, planner and precursor of the Internet and Wikipedia, Otto Neurath, he's very much aware that, to quote the latter, We are like sailors who on the open sea must reconstruct their ship but are never able to start afresh from the bottom. In this way, by using the old beams and driftwood the ship can be shaped entirely anew, but only by gradual reconstruction. Today, Neurath's metaphorical old beams and driftwood are the datasets that feed machine learning. It's like a tradition on speed, leading to unexpected but fascinating results.
