| LEADER : 00000nam 2200000uu 4500 |
| 008 230120s2022||||th 000 0 eng d |
| 020 ^a9781951541682 |
| 050 4 ^aNA2543.T43^bC35 2022 |
| 100 1 ^aCampo, Matias del,^eauthor |
| 245 10 ^aNeural architecture :^bdesign and artificial intelligence/^cMathias Del Campo |
| 250 ^aFirst edition |
| 300 ^a225 pages :^billustrations (chiefly color), plans ;^c23 cm |
| 504 ^aIncludes bibliographical references and index |
| 505 00 ^aMachine generated contents note:^gch. I^tThis BuildingDoes Not Exist -- An Attempt at a Theory of Neural Architecture --^tWhat does a Melange have to do with Artificial Intelligence? --^tFamiliar but Strange: Bits, Pieces, Features & Neurons --^tWith or Without you -- Dependency between Concrete and Abstract Objects --^tNeural Networks are Abstract Objects --^tProperties --^tIt^'s complicated -- about a Relationship --^tAbout Wild Features and How to Capture Them --^tThings, Facts, and the Ontology of Neural Networks --^tWhat About Aesthetics,Agency, and Authorship? --^tAesthetics of Neural Architecture --^tThe Sensibility of Neural Architecture --^tAgency in Neural Architecture --^tNeural Architecture isa New Paradigm --^tReferences --^gch. II^tThe Robot Garden--^tThe Robot Garden --^tHow to Test a Robot --^tPosthumanDesign is here --^tBig Data, AI and Architecture Design --^tReferences --^gch. III^tIn the Valley of the Hallucinating Machines --^tComputational Vision as Design Method --^tWhat Would Turing Do? --^tArchitecture^'s Empathy Towards Images and Representation --^tHow to Recognize a Gothic Column --^tThe Nature of Neural Networks --^tLearning Architectural Features --^tFountains,Figures, and Features -- or How to Confuse an AI --^tWhat it Means to Be a Pixel --^tMachines Hallucinating Architecture --^tReferences --^gch. IV^tNot a Question of Style-Style, Artificial Intelligence and Architecture --^tA Closer Look into the Suspicious Noun Style --^tWhen Aesthetics Collide with Technology --^tReferences --^gch. V^tTalking Architecture --^tTalking Architecture --^tMaterials and Methods --^tInitial Modeling --^tAttentional Generative Adversarial Network --^tThe UrbanContext of the Design --^tSigns, Scripts, and Codes -- A Theory of the Artificial --^tReferences --^gch. VI^tHow Machines Learn to Plan -- A Critical Interrogation of Machine --^tVision Techniques in Architecture --^tHow machines learn to see --^tA Posthuman Trajectory for Plan Formation --^tEstranged -- but in a good way --^tNeural Networks and Learning the 2-D Visual World --^tModeling the Style of the Real World --^tThe Defamiliarization of the City, or An Alternative Utopia --^tReferences --^gch. VII^tSpace: The Final Frontier (How to Wrangle a Neural Network to Deal with 3D Models) --^tTerms of Engagement: Aesthetics, Agency, Sensibility, and Other Nasty Problems --^tAesthetics --^tSensibility --^tAgency --^tAuthorship --^tDatabase Construction --^tNeural Optimization Framework--^tExperiments and Results --^tSo, Can a Neural Network Learn a Sensibility? --^tReferences --^gch. VIII^tThe Politics of Neural Architecture and Artificial Intelligence --^tThe Problem with Low-Skill Labor --^tThe Accelerationist Project --^tThe Return of Ornament --^tReferences |
| 520 ^aThis book explores the interdisciplinary project thatbrings 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 thedevelopment 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 |
| 650 0 ^aArchitecture and technology |
| 650 0 ^aArtificial intelligence^xIndustrial applications |
| 999 ^aปวีนา ภู่ทอง |
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