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Peng Zhong-Ren: AI-Driven Urban Planning

AI-Driven Urban Planning

Shaping the Future of Cities

World Scientific Series On The Built Environment

Urban Management is about managing cities in uncertain times. The book covers the urbanization process, the urban challenges, the benefits of cities, and the scope of urban management. The latter includes urban planning, capital investment programs, local economic development, housing, urban service delivery, public utilities, social services, general urban services, transport, and asset management. This book focuses on the general principles of urban management, particularly in developing countries. It uses the CSGG framework -- institutional capacity, scope of urban management, goals of urban management, and governance -- for urban management.In this second edition, the chapters have been reorganized, revised, and expanded to include many case studies. There are new chapters on capital investment programs and asset management. The latter contains many topics on asset management, including strategic asset management, asset-light business models, maintenance principles and technologies, and the use of more recent technologies such as drones, Lidar, and satellite radar systems to monitor asset conditions and respond to emergencies.The book will be of interest to practitioners and students in the built environment, including mayors, urban managers, urban planners, developers, lenders, insurers, architects, engineers, project managers, and other consultants, contractors, and suppliers.

Urban Management: Managing Cities In Uncertain Times

Advanced Intelligence Methods for Data Science and Optimization covers the latest research trends and applications of AI topics such as deep learning, reinforcement learning, evolutionary algorithms, Bayesian optimization, and swarm intelligence. The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems. Authored by a team of renowned experts in the field, the book offers a holistic approach to understanding and applying intelligence methods across various domains. It explores the fundamental concepts of data science and optimization, providing a strong foundation for readers to build upon, and will be a welcomed resource for AI researchers, data scientists, engineers, and developers on key topics such as evolutionary optimization techniques, reinforcement learning, Natural Language Processing, Bayesian optimization, advanced analytics for large-scale data, fuzzy logic, quantum computing, graph theory, convex optimization, differential evolution, and more.

Advanced Intelligence Methods for Data Science and Optimization

Challenges and Applications of Generative Large Language Models

Foundations, Technologies, and Prospects for the Future

Autonomous Vehicle Safety Solutions

Applications in Virtual Environments

Federated Learning for the Metaverse

Building a Program for Strategy and Oversight

Practical AI Governance

Psychophysics and Experimental Phenomenology of Pattern Cognition

A How-To Guide for Implementation and Management

AI for Public Relations

Beck international

The Book
Artificial Intelligence will profoundly shape the future economy and society. Whereas the potential benefits are notable and desirable, the risk of serious harm is considerable. The new EU AI Act 2024/1689 therefore seeks to provide a legal framework to regulate AI systems in the EU.
Written by an international team of experts, this Article-by-Article Commentary provides a comprehensive analysis and explanation of each of the provisions of the AI Act to assist in the interpretation and application. Each commentary follows a clear and uniform structure, also providing key information on the function and context of each provision. Where appropriate, practice tips are also given.

The Advantages at a GlanceComprehensive analysisInternational team of renowned expertsClear and uniform structure
The Target Group
For in-house counsel, legal practitioners, scholars, supervisory authorities, industry groups.

The Book
Artificial Intelligence will profoundly shape the future economy and society. Whereas the potential benefits are notable and desirable, the risk of serious harm is considerable. The new EU AI Act 2024/1689 therefore seeks to provide a legal framework to regulate AI systems in the EU.
Written by an international team of experts, this Article-by-Article Commentary provides a comprehensive analysis and explanation of each of the provisions of the AI Act to assist in the interpretation and application. Each commentary follows a clear and uniform structure, also providing key information on the function and context of each provision. Where appropriate, practice tips are also given.

The Advantages at a GlanceComprehensive analysisInternational team of renowned expertsClear and uniform structure
The Target Group
For in-house counsel, legal practitioners, scholars, supervisory authorities, industry groups.

Article-by-Article Commentary

Artificial Intelligence Act

Foundations & Concepts

Generative AI

This companion volume to Artificial Intelligence: A Guide for Everyone offers a comprehensive exploration of AI analytics, catering to individuals of all backgrounds and expertise levels. It seeks to demystify AI analytics by exploring core concepts, explaining various stages (Descriptive, Diagnostic, Predictive, and Prescriptive), and highlighting their limitations. Through domain-specific applications, it illustrates how AI is utilized across industries for innovation and efficiency, providing dedicated subsections for healthcare, finance, customer support, and more.Artificial Intelligence: Analytics, Platforms, and Risks thoroughly examines the AI infrastructure and ecosystem, offering insights into frameworks, platforms, tools, key players, and the critical hardware and software components supporting AI applications. It also addresses the multifaceted risks and challenges of AI, such as bad data, model selection bias, job displacement, weaponization, and ethical dilemmas, along with strategies to mitigate these risks.&nbsp;Additionally, it discusses the hurdles in AI adoption, including roadblocks, myths, planning complexities, resource requirements, and data and model challenges. Looking ahead, the book explores the future of AI, highlighting catalysts for technological progress, the transformative impact across industries, and emerging trends shaping the field. With the aim of empowering readers to navigate the complexities of AI, harness its potential, and contribute to its responsible and ethical advancement, this book serves as a comprehensive guide to AI technologies.

This companion volume to Artificial Intelligence for Everyone offers a comprehensive exploration of AI analytics, catering to individuals of all backgrounds and expertise levels. It seeks to demystify AI analytics by exploring core concepts, explaining various stages (descriptive, predictive, prescriptive), and highlighting their limitations. Through domain-specific applications, it illustrates how AI is utilized across industries for innovation and efficiency, providing dedicated subsections for healthcare, finance, customer support, and more.Artificial Intelligence: Analytics, Platforms, and Risks thoroughly examines the AI infrastructure and ecosystem, offering insights into frameworks, platforms, tools, key players, and the critical hardware and software components supporting AI applications. It also addresses the multifaceted risks and challenges of AI, such as bad data, model selection bias, job displacement, weaponization, and ethical dilemmas, along with strategies to mitigate these risks. Additionally, it discusses the hurdles in AI adoption, including roadblocks, myths, planning complexities, resource requirements, and data and model challenges. Looking ahead, the book explores the future of AI, highlighting catalysts for technological progress, the transformative impact across industries, and emerging trends shaping the field. With the aim of empowering readers to navigate the complexities of AI, harness its potential, and contribute to its responsible and ethical advancement, this book serves as a comprehensive guide to AI technologies.

Artificial Intelligence: Analytics, Platforms, and Risks

Design for Healing Spaces

Therapeutic Gardens

AI-Driven Urban Planning

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