Artificial Intelligence And The Environmental Crisis

Author : Keith Ronald Skene
Publisher : Routledge
Page : 263 pages
File Size : 48,5 Mb
Release : 2019-12-19
Category : Computers
ISBN : 9780429619090

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Artificial Intelligence and the Environmental Crisis by Keith Ronald Skene Pdf

A radical and challenging book which argues that artificial intelligence needs a completely different set of foundations, based on ecological intelligence rather than human intelligence, if it is to deliver on the promise of a better world. This can usher in the greatest transformation in human history, an age of re-integration. Our very existence is dependent upon our context within the Earth System, and so, surely, artificial intelligence must also be grounded within this context, embracing emergence, interconnectedness and real-time feedback. We discover many positive outcomes across the societal, economic and environmental arenas and discuss how this transformation can be delivered. Key Features: Identifies a key weakness in current AI thinking, that threatens any hope of a better world. Highlights the importance of realizing that systems theory is an essential foundation for any technology that hopes to positively transform our world. Emphasizes the need for a radical new approach to AI, based on ecological systems. Explains why ecosystem intelligence, not human intelligence, offers the best framework for AI. Examines how this new approach will impact on the three arenas of society, environment and economics, ushering in a new age of re-integration.

Author : Sue Ellen Haupt,Antonello Pasini,Caren Marzban
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 55,9 Mb
Release : 2008-11-28
Category : Science
ISBN : 9781402091193

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Artificial Intelligence Methods in the Environmental Sciences by Sue Ellen Haupt,Antonello Pasini,Caren Marzban Pdf

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Author : Benedetta Brevini
Publisher : John Wiley & Sons
Page : 160 pages
File Size : 53,9 Mb
Release : 2021-10-14
Category : Computers
ISBN : 9781509547968

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Is AI Good for the Planet? by Benedetta Brevini Pdf

Artificial intelligence (AI) is presented as a solution to the greatest challenges of our time, from global pandemics and chronic diseases to cybersecurity threats and the climate crisis. But AI also contributes to the climate crisis by running on technology that depletes scarce resources and by relying on data centres that demand excessive energy use. Is AI Good for the Planet? brings the climate crisis to the centre of debates around AI, exposing its environmental costs and forcing us to reconsider our understanding of the technology. It reveals why we should no longer ignore the environmental problems generated by AI. Embracing a green agenda for AI that puts the climate crisis at centre stage is our urgent priority. Engaging and passionately written, this book is essential reading for scholars and students of AI, environmental studies, politics, and media studies and for anyone interested in the connections between technology and the environment.

Author : Sue Ellen Haupt,Antonello Pasini,Caren Marzban
Publisher : Springer
Page : 424 pages
File Size : 42,5 Mb
Release : 2009-08-29
Category : Science
ISBN : 1402091281

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Artificial Intelligence Methods in the Environmental Sciences by Sue Ellen Haupt,Antonello Pasini,Caren Marzban Pdf

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Author : Cindy Mason
Publisher : Unknown
Page : 180 pages
File Size : 49,8 Mb
Release : 2020-07-07
Category : Computers
ISBN : 1733524800

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Artificial Intelligence and The Environment by Cindy Mason Pdf

"This volume reports 16 AI projects on engineering sustainability using AI, Machine Learning, Signal Processing, Databases and other Technologies (Hybrid AI). Sixty scientists contribute to the volume on ‘Boots on the Ground’ topics including fire fighting, forestry sustainability, flood prediction, algae bloom prediction, water pollution prediction, sewage treatment, recycling and resource consumption. There are also ‘Data, Data Everywhere’ topics including biodiversity cataloguing, plant physiology and climate modeling, forest ecosystem modelling, satellite data aggregation and viewing and weather forecasting. The contributions of each team of scientists, AI researchers and engineers has been assembled with a set of helpful questions and answers called “Classroom Connection” at the end of each chapter. The existence of this book serves to document the AI projects in existence and some of the people who have been actively working to create sustainability using AI. Inside you’ll find many examples of hybrid AI - systems so complex, they need every AI trick in the book to solve them, and then some. The book is presented at the 2019 U.N. Climate Summit in Madrid Spain."--Publisher's description.

Author : Hui Lin Ong,Ruey-an Doong,Raouf Naguib,Chee Peng Lim,Atulya K. Nagar
Publisher : Springer Nature
Page : 218 pages
File Size : 49,9 Mb
Release : 2022-04-29
Category : Technology & Engineering
ISBN : 9789811914348

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Artificial Intelligence and Environmental Sustainability by Hui Lin Ong,Ruey-an Doong,Raouf Naguib,Chee Peng Lim,Atulya K. Nagar Pdf

The book discusses comprehensive and cutting-edge research and development endeavors, as well as innovative solutions, in implementing AI and related technologies to meet and undertake current and future challenges towards ensuring environmental sustainability. It explores the future research directions in the era of Industry 4.0. In the beginning, an overview of the utilization of Al for environmental sustainability is provided. The remaining chapters of the book cover the technological and application aspects of Al for environmental sustainability with illustrative examples. Finally, challenges with respect to deploying Al to solving environmental problems and the future trends are covered.

Author : Peter Dauvergne
Publisher : MIT Press
Page : 278 pages
File Size : 47,8 Mb
Release : 2020-09-15
Category : Computers
ISBN : 9780262359580

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AI in the Wild by Peter Dauvergne Pdf

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.

Author : Ramesh M. Bhatawdekar,Danial Jahed Armaghani,Aydin Azizi
Publisher : Springer Nature
Page : 83 pages
File Size : 40,6 Mb
Release : 2022-01-04
Category : Science
ISBN : 9789811682377

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Environmental Issues of Blasting by Ramesh M. Bhatawdekar,Danial Jahed Armaghani,Aydin Azizi Pdf

This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.

Author : Ulises Cortes Garcia,Manel Poch
Publisher : Springer Science & Business Media
Page : 174 pages
File Size : 44,6 Mb
Release : 2009-03-08
Category : Science
ISBN : 9783764389000

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Advanced Agent-Based Environmental Management Systems by Ulises Cortes Garcia,Manel Poch Pdf

Multi-agent Systems (MAS) are one of the most exciting research areas in Artificial Intelligence meanwhile Environmental Studies is a research area of strategic interest. Both areas can provide society with solutions for many real applications, in order to use and protect the environment. Human activities imply intervention into nature, but properly managed, these interventions can not be only ecologically sound but also favourable to the sustainable development of civilisation. The encounter between these fields is a new challenge for many researchers of both communities. This book presents a comprehensive reference of state-of-the-art efforts. Specifically, it presents current and future ways in which adaptive information technologies, techniques, protocols and architectures, such as software agent technologies and multi-agent systems, can be used to support the development of real-world agent-based systems in the area of e-Environment.

Author : Sing C. Chew
Publisher : Rowman & Littlefield
Page : 119 pages
File Size : 54,6 Mb
Release : 2021-02-11
Category : Nature
ISBN : 9781793641519

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Ecology, Artificial Intelligence, and Virtual Reality by Sing C. Chew Pdf

Ecology, Artificial Intelligence, and Virtual Reality argues that we need to examine the connect global world we live in and our technological advances to discern the potential solutions to the environmental, epidemiological, political, and social challenges we face.

Author : Ramesh M. Bhatawdekar,Danial Jahed Armaghani,Aydin Azizi
Publisher : Unknown
Page : 0 pages
File Size : 41,5 Mb
Release : 2021
Category : Electronic
ISBN : 9811682380

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Environmental Issues of Blasting by Ramesh M. Bhatawdekar,Danial Jahed Armaghani,Aydin Azizi Pdf

This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.

Author : Tanvir Islam,Prashant K. Srivastava,Manika Gupta,Xuan Zhu,Saumitra Mukherjee
Publisher : Springer Science & Business Media
Page : 266 pages
File Size : 45,9 Mb
Release : 2014-02-14
Category : Science
ISBN : 9789401786423

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Computational Intelligence Techniques in Earth and Environmental Sciences by Tanvir Islam,Prashant K. Srivastava,Manika Gupta,Xuan Zhu,Saumitra Mukherjee Pdf

Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered include artificial neural networks, support vector machines, fuzzy logic, decision-making algorithms, supervised and unsupervised classification algorithms, probabilistic computing, hybrid methods and morphic computing. Further topics given treatment in this volume include remote sensing, meteorology, atmospheric and oceanic modeling, climate change, environmental engineering and management, catastrophic natural hazards, air and environmental pollution and water quality. By linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scientists, environmentalists, meteorologists and computing experts with a common interest in computational intelligence techniques within the earth and environmental sciences will find this book to be of great value.

Author : Aboul Ella Hassanien,Ashraf Darwish,Benji Gyampoh,Alaa Tharwat Abdel-Monaim,Ahmed M. Anter
Publisher : Springer Nature
Page : 178 pages
File Size : 43,6 Mb
Release : 2021-05-16
Category : Technology & Engineering
ISBN : 9783030729332

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The Global Environmental Effects During and Beyond COVID-19 by Aboul Ella Hassanien,Ashraf Darwish,Benji Gyampoh,Alaa Tharwat Abdel-Monaim,Ahmed M. Anter Pdf

This book aims through 11 chapters discussing the problems and challenges and some future research points from the recent technologies point of view such as artificial intelligence and the Internet of things (IoT) that can help the environment and healthcare sectors reducing COVID-19.

Author : Elena G. Popkova,Bruno Sergi,Aleksei V. Bogoviz
Publisher : Frontiers Media SA
Page : 131 pages
File Size : 49,7 Mb
Release : 2023-06-06
Category : Science
ISBN : 9782832523728

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Evolution of environmental economics & management in the age of artificial intelligence for sustainable development by Elena G. Popkova,Bruno Sergi,Aleksei V. Bogoviz Pdf

Author : Elena B. Zavyalova,Elena G. Popkova
Publisher : Springer Nature
Page : 497 pages
File Size : 43,5 Mb
Release : 2022-02-10
Category : Business & Economics
ISBN : 9783030794965

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Industry 4.0 by Elena B. Zavyalova,Elena G. Popkova Pdf

This book presents a scientific view of fighting climate change in the economy of the future, the foundations of which are being set around the world. The authors substantiate the potential of Industry 4.0 in stimulating sustainable development in environmental protection and preservation of natural resources. This book considers the modern experience of fighting climate change based on possibilities of Industry 4.0 at the national scale in view of developed and developing countries with a special focus on Russia and at the corporate scale by the example of transnational corporations. It determines the future contribution of Industry 4.0 into development of responsible production and consumption, and compiles the “outlines” of “green” economy in Industry 4.0. It offers recommendations for control of climate change in Industry 4.0, and presents the authors’ vision of ecological responsibility in Industry 4.0 for implementing the sustainable development goals. This book will be of interest to academics and practitioners interested in climate change and development of Industry 4.0, as well contributing to a national economic policy for fighting climate change and corporate strategies of sustainable development in Industry 4.0.