Spatial Intelligence for a Greener Planet


Book Description

With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution. Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts. Through real-world case studies and advanced research, it showcases AI and geospatial technology's revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.




Advances of Artificial Intelligence in a Green Energy Environment


Book Description

Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern. Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy. Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry. - Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide - Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms - Includes flowchart diagrams for exampling optimizing techniques




AI in the Wild


Book Description

Examining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability.




Green IT Engineering: Social, Business and Industrial Applications


Book Description

This book describes the implementation of green IT in various human and industrial domains. Consisting of four sections: “Development and Optimization of Green IT”, “Modelling and Experiments with Green IT Systems”, “Industry and Transport Green IT Systems”, “Social, Educational and Business Aspects of Green IT”, it presents results in two areas – the green components, networks, cloud and IoT systems and infrastructures; and the industry, business, social and education domains. It discusses hot topics such as programmable embedded and mobile systems, sustainable software and data centers, Internet servicing and cyber social computing, assurance cases and lightweight cryptography in context of green IT. Intended for university students, lecturers and researchers who are interested in power saving and sustainable computing, the book also appeals to engineers and managers of companies that develop and implement energy efficient IT applications.




Smart Green Innovations in Industry 4.0 for Climate Change Risk Management


Book Description

This book is devoted to strengthening the theoretical and methodological basis, systematization of international experience, and scientific elaboration of prospects for developing a climate-smart economy and business as a vector of the sustainable development of Industry 4.0 in the Decade of Action. The first part of the book focuses on climate-responsible entrepreneurship in support of the sustainable development of Industry 4.0. The part systematizes best practices for climate-smart green innovations across sectors of the digital economy. The third part reveals the experience of climate risk management based on smart green innovations in regions and countries. Particular attention is paid to the best practices of the European Union (EU) and the Eurasian Economic Union (EAEU). The book ends with part four, which explores ESG climate risk management and green finance in support of combating climate change. The book’s novelty is that it rethinks the environmental footprints of Industry 4.0 from the perspective of climate risks and their management. The theoretical significance of the book lies in the formation of an innovative concept of climate change risk management, in which the economy, society, nature, and technology are presented and interact effectively. The book is intended for scientists. In this book, they will find an innovative and systemic vision of smart green innovations in Industry 4.0 for climate change risk management.




Artificial Intelligence in Earth Science


Book Description

Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges provides a comprehensive, step-by-step guide to AI workflows for solving problems in Earth Science. The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure optimization, spatiotemporal generalization, transforming model results into products, and explaining trained models. In addition, it provides full-stack workflow tutorials to help walk readers through the whole process, regardless of previous AI experience. The book tackles the complexity of Earth system problems in AI engineering, fully guiding geoscientists who are planning to implement AI in their daily work. - Provides practical, step-by-step guides for Earth Scientists who are interested in implementing AI techniques in their work - Features case studies to show real-world examples of techniques described in the book - Includes additional elements to help readers who are new to AI, including end-of-chapter, key concept bulleted lists that concisely cover key concepts in the chapter




Green Recovery with Resilience and High Quality Development


Book Description

This open access book is based on the research outputs of China Council for International Cooperation on Environment and Development (CCICED) in 2021. It covers major topics of Chinese and international attention regarding green development, such as climate, biodiversity, ocean, BRI, urbanization, sustainable production and consumption, technology, finance, value chain, and related topics. It also reviews the progress of China‘s environmental and development policies and the impacts from CCICED. This is a highly informative and carefully presented book, providing insight for policy makers in environmental issues.




Handbook of Intelligence


Book Description

Numerous functions, cognitive skills, and behaviors are associated with intelligence, yet decades of research has yielded little consensus on its definition. Emerging from often conflicting studies is the provocative idea that intelligence evolved as an adaptation humans needed to keep up with – and survive in – challenging new environments. The Handbook of Intelligence addresses a broad range of issues relating to our cognitive and linguistic past. It is the first full-length volume to place intelligence in an evolutionary/cultural framework, tracing the development of the human mind, exploring differences between humans and other primates, and addressing human thinking and reasoning about its own intelligence and its uses. The works of pioneering thinkers – from Plato to Darwin, Binet to Piaget, Luria to Weachsler – are referenced to illustrate major events in the evolution of theories of intelligence, leading to the current era of multiple intelligences and special education programs. In addition, it examines evolutionary concepts in areas as diverse as creativity, culture, neurocognition, emotional intelligence, and assessment. Featured topics include: The evolution of the human brain from matter to mind Social competition and the evolution of fluid intelligence Multiple intelligences in the new age of thinking Intelligence as a malleable construct From traditional IQ to second-generation intelligence tests The evolution of intelligence, including implications for educational programming and policy. The Handbook of Intelligence is an essential resource for researchers, graduate students, clinicians, and professionals in developmental psychology; assessment, testing and evaluation; language philosophy; personality and social psychology; sociology; and developmental biology.




Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications


Book Description

Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications Proceedings of the 8th International Conference on Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications, August 22–24, 2022, Nice, France