
Harnessing High-Performance Computing and AI for Environmental Sustainability by Arshi Naim
The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development. It tackles the unintended consequences of AI, providing a comprehensive guide to harnessing AI for sustainable outcomes. Readers will discover how AI can catalyze sustainable farming practices, optimize energy distribution, and combat deforestation. Moreover, the text probes the profound impacts of AI on the Earth, both guided and unguided, offering a balanced perspective on its potential and challenges. Its chapters cover diverse facets, from the role of HPC and open climate data in water and natural resource management to the design principles for environmentally sustainable computing. It unravels the implications of global warming on data center power consumption, introduces intelligence models for computing resource management, and explores the applications of blockchain in energy management and trading agricultural products.-
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Cloud Computing Applications and Techniques for E-Commerce
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Quantum Computing and Cryptography in Future Computers
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Design, Applications, and Maintenance of Cyber-Physical Systems
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MATLAB With Applications in Mechanics and Tribology
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Software Engineering for Modern Web Applications: Requirement, Design, and Implementation
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Handbook of Research on Modeling, Analysis, and Control of Complex Systems
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Grammatical and Syntactical Approaches in Architecture
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Handbook of Research on Software Quality Innovation in Interactive Systems
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Methodologies and Applications of Computational Statistics for Machine Intelligence
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Soft Computing Methods for System Dependability
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Tools and Techniques for Software Development in Large Organizations
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Deep Learning Applications for Cyber-Physical Systems
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Artificial Intelligence Paradigms for Smart Cyber-Physical Systems
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Impacts and Challenges of Cloud Business Intelligence
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Handbook of Research on Smarter and Secure Industrial Applications Using AI, IoT, and Blockchain Technology
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Handbook of Research on Methodologies and Applications of Supercomputing
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Pioneering Approaches in Data Management
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Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
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Social Reflections of Human-Computer Interaction in Education, Management, and Economics
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Multi-Criteria Decision Making Models and Techniques: Neutrosophic Approaches
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Multi-Criteria Decision Making Models and Techniques
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Recent Trends and Future Direction for Data Analytics
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Revolutionizing Curricula Through Computational Thinking, Logic, and Problem Solving
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Metaheuristics Algorithm and Optimization of Engineering and Complex Systems
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Building Business Models with Machine Learning
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Granular Computing and Big Data Advancements
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Technological Advancements in Data Processing for Next Generation Intelligent Systems
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Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods
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Optimization Tools and Techniques for Enhanced Computational Efficiency
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Handbook of Research on Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms
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Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms
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Integrating Machine Learning Into HPC-Based Simulations and Analytics
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Enhancing Data-Driven Electronics Through IoT
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Balancing Agile and Disciplined Engineering and Management Approaches for IT Services and Software Products
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Formal and Adaptive Methods for Automation of Parallel Programs Construction
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Advancements in Model-Driven Architecture in Software Engineering
| SKU | Unavailable |
| ISBN 13 | 9798369346570 |
| Title | Harnessing High-Performance Computing and AI for Environmental Sustainability |
| Author | Arshi Naim |
| Series | Advances In Systems Analysis Software Engineering And High Performance Computing Ser |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | IGI Global |
| Year published | 2024-05-15 |
| Number of pages | 401 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |




































