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Explains how artificial intelligence methods can be used to aid conservation of wildlife, forests, coral reefs, rivers, and other natural resources.
Book Synopsis Artificial Intelligence and Conservation by : Fei Fang
Download or read book Artificial Intelligence and Conservation written by Fei Fang and published by Cambridge University Press. This book was released on 2019-03-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains how artificial intelligence methods can be used to aid conservation of wildlife, forests, coral reefs, rivers, and other natural resources.
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.
Book Synopsis AI in the Wild by : Peter Dauvergne
Download or read book AI in the Wild written by Peter Dauvergne and published by MIT Press. This book was released on 2020-09-15 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
'AI for Wildlife Management and Conservation: Tools and Techniques' is a comprehensive exploration of the awe-inspiring convergence of artificial intelligence and wildlife conservation. Authored by Barbara Lucas, a noted eco-academic and technology enthusiast, this report strives to make complex AI topics and techniques accessible and digestible to all, fostering an understanding of how these tools are revolutionizing wildlife protection. Have you ever wondered how data analytics, machine learning, and predictive models can be harnessed to safeguard biodiversity? This report provides your definitive guide. Through real-life examples, case studies, and insights from leading experts, it illuminates the game-changing impact of AI in the field of wildlife management. Know the transformative power of AI tools in monitoring and tracking various species Learn how deep learning aids in species identification and population estimation Discover the role of drone technology and AI in aerial surveillance for wildlife protection Explore ethical considerations in AI-driven wildlife management Future gaze into the evolving trends in AI conservation strategies Whether you're an environmental activist, a tech aficionado, or just a curious reader intrigued by the blend of technology and nature, this Special Report invites you to understand, be inspired, and participate in this revolutionary movement. Barbara Lucas passionately captures the essence of these technologies in an engaging and inspiring manner, driving everyone to grasp the merit of AI in conservation. Together, let's imagine a future where AI sings in harmony with nature's symphony, ushering in a new era of wildlife management and protection.
Book Synopsis AI for Wildlife Management and Conservation by : Barbara Lucas
Download or read book AI for Wildlife Management and Conservation written by Barbara Lucas and published by Independently Published. This book was released on 2023-08-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'AI for Wildlife Management and Conservation: Tools and Techniques' is a comprehensive exploration of the awe-inspiring convergence of artificial intelligence and wildlife conservation. Authored by Barbara Lucas, a noted eco-academic and technology enthusiast, this report strives to make complex AI topics and techniques accessible and digestible to all, fostering an understanding of how these tools are revolutionizing wildlife protection. Have you ever wondered how data analytics, machine learning, and predictive models can be harnessed to safeguard biodiversity? This report provides your definitive guide. Through real-life examples, case studies, and insights from leading experts, it illuminates the game-changing impact of AI in the field of wildlife management. Know the transformative power of AI tools in monitoring and tracking various species Learn how deep learning aids in species identification and population estimation Discover the role of drone technology and AI in aerial surveillance for wildlife protection Explore ethical considerations in AI-driven wildlife management Future gaze into the evolving trends in AI conservation strategies Whether you're an environmental activist, a tech aficionado, or just a curious reader intrigued by the blend of technology and nature, this Special Report invites you to understand, be inspired, and participate in this revolutionary movement. Barbara Lucas passionately captures the essence of these technologies in an engaging and inspiring manner, driving everyone to grasp the merit of AI in conservation. Together, let's imagine a future where AI sings in harmony with nature's symphony, ushering in a new era of wildlife management and protection.
Make conservation investments using structured decision-making, mathematical programming, the power of markets, and behavioral nudges.
Book Synopsis The Science of Strategic Conservation by : Kent D. Messer
Download or read book The Science of Strategic Conservation written by Kent D. Messer and published by Cambridge University Press. This book was released on 2018-05-24 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make conservation investments using structured decision-making, mathematical programming, the power of markets, and behavioral nudges.
ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.
Book Synopsis Artificial Intelligence for Renewable Energy Systems by : Ajay Kumar Vyas
Download or read book Artificial Intelligence for Renewable Energy Systems written by Ajay Kumar Vyas and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.
An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions.
Book Synopsis Artificial Intelligence and Social Work by : Milind Tambe
Download or read book Artificial Intelligence and Social Work written by Milind Tambe and published by Cambridge University Press. This book was released on 2018-11-29 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions.
Step into the intriguing world of artificial intelligence for environmental conservation with Desmond Harper's groundbreaking special report: "Artificial Intelligence for Environmental Conservation: Tackling Climate Change". With a passion for making the complexities of AI accessible to every reader, Harper explores the powerful role of AI in combating the pressing issue of climate change. Touted as a compelling guide, this special report takes you on an absorbing journey from the fundamentals of AI to its transformative influence on environmental conservation. Key Features: Unravel the intricate science of AI and unfold its practical applications in a comprehensible manner. Discover how AI transcends its traditional domains and positively impacts climate change mitigation. Understand the importance of AI in climate modelling, pattern prediction, and effective climate change monitoring. Chapters dedicated to the role of AI in wildlife conservation, carbon tracking, sustainable farming, and environmental governance expand the horizon on the synergy of tech and conservation. Lastly, get an insight into how AI in environmental conservation is shaping our present and future, presented in a pragmatic and relatable manner. Inspired by Harper's first-hand experience as a tech enthusiast turned environmental activist, this special report offers a coherent and insightful look into AI capabilities that are reshaping our approach to environmental preservation. Whether a tech novice or a seasoned professional, this read will spark in you a deeper appreciation for the compelling alliance of artificial intelligence and environmental conservation. Pick up your copy today to embark on this enlightening exploration!
Book Synopsis Artificial Intelligence for Environmental Conservation by : Desmond Harper
Download or read book Artificial Intelligence for Environmental Conservation written by Desmond Harper and published by Independently Published. This book was released on 2023-08-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step into the intriguing world of artificial intelligence for environmental conservation with Desmond Harper's groundbreaking special report: "Artificial Intelligence for Environmental Conservation: Tackling Climate Change". With a passion for making the complexities of AI accessible to every reader, Harper explores the powerful role of AI in combating the pressing issue of climate change. Touted as a compelling guide, this special report takes you on an absorbing journey from the fundamentals of AI to its transformative influence on environmental conservation. Key Features: Unravel the intricate science of AI and unfold its practical applications in a comprehensible manner. Discover how AI transcends its traditional domains and positively impacts climate change mitigation. Understand the importance of AI in climate modelling, pattern prediction, and effective climate change monitoring. Chapters dedicated to the role of AI in wildlife conservation, carbon tracking, sustainable farming, and environmental governance expand the horizon on the synergy of tech and conservation. Lastly, get an insight into how AI in environmental conservation is shaping our present and future, presented in a pragmatic and relatable manner. Inspired by Harper's first-hand experience as a tech enthusiast turned environmental activist, this special report offers a coherent and insightful look into AI capabilities that are reshaping our approach to environmental preservation. Whether a tech novice or a seasoned professional, this read will spark in you a deeper appreciation for the compelling alliance of artificial intelligence and environmental conservation. Pick up your copy today to embark on this enlightening exploration!
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
Book Synopsis Artificial Intelligence by : Melanie Mitchell
Download or read book Artificial Intelligence written by Melanie Mitchell and published by Farrar, Straus and Giroux. This book was released on 2019-10-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--
Book Synopsis Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering by : Gebrail Bekdas
Download or read book Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering written by Gebrail Bekdas and published by Engineering Science Reference. This book was released on 2019 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--
Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations. Features: Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques Provides analysis of land erosion and sediment transport in watersheds from small to large scale Includes estimations for runoff using different methodologies with systematic approaches for each Discusses water harvesting and development of water yield catchments This book will be a valuable resource for students in hydrology courses, environmental consultants, water resource engineers, and researchers in related water science and engineering fields.
Book Synopsis Watershed Management and Applications of AI by : Sandeep Samantaray
Download or read book Watershed Management and Applications of AI written by Sandeep Samantaray and published by CRC Press. This book was released on 2021-05-16 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations. Features: Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques Provides analysis of land erosion and sediment transport in watersheds from small to large scale Includes estimations for runoff using different methodologies with systematic approaches for each Discusses water harvesting and development of water yield catchments This book will be a valuable resource for students in hydrology courses, environmental consultants, water resource engineers, and researchers in related water science and engineering fields.
