
Machine Learning and the City: Applications in Architecture and Urban Design
- Length: 672 pages
- Edition: 1
- Language: English
- Publisher: Wiley-Blackwell
- Publication Date: 2022-05-17
- ISBN-10: 1119749638
- ISBN-13: 9781119749639
- Sales Rank: #0 (See Top 100 Books)
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Can You Order Klonopin Online Explore the applications of machine learning and artificial intelligence to the built environment
https://lavozdelascostureras.com/ofew1f37evo Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and artificial intelligence (AI) in the context of the built environment. Relevant contributions from leading scholars in their respective fields describe the ideas and techniques that underpin ML and AI, how to begin using ML and AI in urban design, and the likely impact of ML and AI on the future of city design and planning.
Non Prescription Tramadol Online Each section couples theoretical and technical chapters, authoritative references, and concrete examples and projects that illustrate the efficacy and power of machine learning in urban design. The book also includes:
- An introduction to the probabilistic logic that underpins machine learning
- Comprehensive explorations of the applications of machine learning and artificial intelligence to urban environments
- Practical discussions of the consequences of applied machine learning and the future of urban design
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https://musicboxcle.com/2025/04/ffk9zho Machine Learning and the City Contents Preface Acknowledgements Introduction Section I Urban Complexity 1 Urban Complexity 2 Emergence and Universal Computation 3 Fractals and Geography Project 1 Emergence and Urban Analysis Project 2 The Evolution and Complexity of Urban Street Networks Section II Machines that Think 4 Artificial Intelligence, Logic, and Formalising Common Sense 5 Defining Artificial Intelligence 6 AI: From Copy of Human Brain to Independent Learner 7 The History of Machine Learning and Its Convergent Trajectory Towards AI 8 Machine Behaviour Project 3 Plan Generation from Program Graph Project 4 Self-organising Floor Plans in Care Homes Project 5 N2P2 – Neural Networks and Public Places Project 6 Urban Fictions Project 7 Latent Typologies: Architecture in Latent Space Project 8 Enabling Alternative Architectures Project 9 Distant Readings of Architecture: A Machine View of the City Section III How Machines Learn 9 What Is Machine Learning? 10 Machine Learning: An Applied Mathematics Introduction 11 Machine Learning for Urban Computing 12 Autonomous Artificial Intelligent Agents Project 10 Machine Learning for Spatial and Visual Connectivity Project 11 Navigating Indoor Spaces Using Machine Learning: Train Stations in Paris Project 12 Evolutionary Design Optimisation of Traffic Signals Applied to Quito City Project 13 Constructing Agency: Self-directed Robotic Environments Section IV Application to the City 13 Code and the Transduction of Space 14 Augmented Reality in Urban Places: Contested Content and the Duplicity of Code 15 Spatial Data in Urban Informatics: Contentions of the Software-sorted City 16 Urban Morphology Meets Deep Learning: Exploring Urban Forms in One Million Cities, Towns, and Villages Across the Planet 17 Computational Urban Design: Methods and Case Studies 18 Indexical Cities: Personal City Models with Data as Infrastructure 19 Machine Learning, Artificial Intelligence, and Urban Assemblages 20 Making a Smart City Legible Project 14 A Tale of Many Cities: Universal Patterns in Human Urban Mobility Project 15 Using Cellular Automata for Parking Recommendations in Smart Environments Project 16 Gan Hadid Project 17 Collective Design for Collective Living Project 18 Architectural Machine Translation Project 19 Large-scale Evaluation of the Urban Street View with Deep Learning Method Project 20 Urban Portraits Project 21 ML-City Project 22 Imaging Place Using Generative Adversarial Networks (GAN Loci) Project 23 Urban Forestry Science Section V Machine Learning and Humans 21 Ten Simple Rules for Responsible Big Data Research 22 A Unified Framework of Five Principles for AI in Society 23 The Big Data Divide and Its Consequences 24 Design Fiction: A Short Essay on Design, Science, Fact, and Fiction 25 Superintelligence and Singularity 26 The Social Life of Robots: The Politics of Algorithms, Governance, and Sovereignty Project 24 Experiments in Synthetic Data Project 25 Emotional AI in Cities: Cross-cultural Lessons from the UK and Japan on Designing for an Ethical Life Project 26 Decoding Urban Inequality: The Applications of Machine Learning for Mapping Inequality in Cities of the Global South Project 27 Amsterdam 2040 Project 28 Committee of Infrastructure Index EULA
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