Artificial Intelligence And The Environmental Crisis


Artificial Intelligence And The Environmental Crisis
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Artificial Intelligence And The Environmental Crisis


Artificial Intelligence And The Environmental Crisis
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Author : Keith Ronald Skene
language : en
Publisher: Routledge
Release Date : 2019-12-19

Artificial Intelligence And The Environmental Crisis written by Keith Ronald Skene and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-19 with Computers categories.


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.



Artificial Intelligence Methods In The Environmental Sciences


Artificial Intelligence Methods In The Environmental Sciences
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Author : Sue Ellen Haupt
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-28

Artificial Intelligence Methods In The Environmental Sciences written by Sue Ellen Haupt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-28 with Science categories.


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.



Is Ai Good For The Planet


Is Ai Good For The Planet
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Author : Benedetta Brevini
language : en
Publisher: John Wiley & Sons
Release Date : 2021-10-14

Is Ai Good For The Planet written by Benedetta Brevini and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-14 with Computers categories.


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.



Artificial Intelligence And Environmental Sustainability


Artificial Intelligence And Environmental Sustainability
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Author : Hui Lin Ong
language : en
Publisher: Springer Nature
Release Date : 2022-04-29

Artificial Intelligence And Environmental Sustainability written by Hui Lin Ong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-29 with Technology & Engineering categories.


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.



Artificial Intelligence Methods In The Environmental Sciences


Artificial Intelligence Methods In The Environmental Sciences
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Author : Sue Ellen Haupt
language : en
Publisher: Springer
Release Date : 2009-08-29

Artificial Intelligence Methods In The Environmental Sciences written by Sue Ellen Haupt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-29 with Science categories.


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.



Environmental Issues Of Blasting


Environmental Issues Of Blasting
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Author : Ramesh M. Bhatawdekar
language : en
Publisher: Springer
Release Date : 2022-01-05

Environmental Issues Of Blasting written by Ramesh M. Bhatawdekar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-05 with Science categories.


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.



Carbon Neutrality Social Media Artificial Intelligence Volume Ii


Carbon Neutrality Social Media Artificial Intelligence Volume Ii
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Author : Rita Yi Man Li
language : en
Publisher: Frontiers Media SA
Release Date : 2023-10-20

Carbon Neutrality Social Media Artificial Intelligence Volume Ii written by Rita Yi Man Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-20 with Science categories.


Carbon neutrality refers to net-zero carbon emissions. It can be achieved by reducing carbon emissions or increasing carbon adsorption. The popularity of social media including Twitter, YouTube, and LinkedIn provides good channels for sharing relevant information and promoting sustainable carbon-neutral living styles. For example, a motor company has launched social media challenges with Korean pop stars to raise awareness of carbon neutrality. Social media provides real-time information. In Jakarta, flood-related tweet intensity during a flood peaked at about 900 tweets a minute during the floods of 2015. The tweets created real-time maps that people sent a minute before. Regarding government policies, identification of problem areas is needed to help policymakers to resolve problems. Machine learning can monitor these events by studying past records to know how countries and governments performed in a high-risk event or environmental crisis and this data can be used to provide future recommendations to governments for policy making. Additionally, AI can analyze online unstructured data, and predict various scenarios of carbon emissions and adsorptions using structured data. The world of social media is a huge data source still yet to be fully optimized in science.



Ecology Artificial Intelligence And Virtual Reality


Ecology Artificial Intelligence And Virtual Reality
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Author : Sing C. Chew
language : en
Publisher: Rowman & Littlefield
Release Date : 2021-02-11

Ecology Artificial Intelligence And Virtual Reality written by Sing C. Chew and has been published by Rowman & Littlefield this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-11 with Nature categories.


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.



Advanced Agent Based Environmental Management Systems


Advanced Agent Based Environmental Management Systems
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Author : Ulises Cortes Garcia
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-08

Advanced Agent Based Environmental Management Systems written by Ulises Cortes Garcia and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-08 with Science categories.


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.



Computational Intelligence Techniques In Earth And Environmental Sciences


Computational Intelligence Techniques In Earth And Environmental Sciences
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Author : Tanvir Islam
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-02-14

Computational Intelligence Techniques In Earth And Environmental Sciences written by Tanvir Islam and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-14 with Science categories.


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.