Neural architecture : design and artificial intelligence /
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 too...
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| Format: | Book |
| Language: | English |
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Novato, CA :
Applied Research and Design Publishing, an imprint of ORO Editions,
©2022
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| Edition: | First edition. |
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| Classic Catalogue: | View this record in Classic Catalogue |
Table of Contents:
- ch. 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
- ch. II The Robot Garden
- The Robot Garden
- How to Test a Robot
- Posthuman Design is here
- Big Data, AI and Architecture Design
- References
- ch. 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
- ch. 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
- ch. 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
- ch. 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
- ch. 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
- ch. VIII The Politics of Neural Architecture and Artificial Intelligence
- The Problem with Low-Skill Labor
- The Accelerationist Project
- The Return of Ornament
- References.