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In the wake of rapid industrial expansion and the consequent surge in energy consumption, our planet faces an imminent threat-global warming. The symbiotic relationship between escalating industrial activities and the insatiable demand for energy resources has given rise to a pressing environmental crisis. As information technology (IT) and computing services advance at an unprecedented pace, the need for energy usage grows exponentially, exacerbating the environmental impact. The world is at a crossroads, demanding a transformative solution that not only addresses the energy conundrum but also steers technological advancements toward a sustainable future. Achieving Sustainability with AI Technologies stands as the beacon of hope in this environmental conundrum. Edited with the intent of delivering a convergence strategy, this book comprehensively explores, transforms, and develops technological systems tailored to emerging technologies in society. Targeted at academic scholars, the book encapsulates a groundbreaking approach to the energy crisis by unraveling the potential of Green Computing. It serves as a pivotal guide, offering insights into sustainable cloud computing, harnessing artificial intelligence and machine learning for sustainability, navigating sustainable wireless systems and networks, and pioneering Green IoT and Edge-AI. Each chapter provides a profound exploration of solutions that bridge the gap between technological advancements and sustainable practices. As nations grapple with the repercussions of energy-intensive industrial growth, Achieving Sustainability with AI Technologies emerges as an indispensable solution. This book is not merely a collection of academic discussions; it is a roadmap toward a greener, more sustainable future. By offering a strategic convergence of technology and environmental consciousness, it empowers scholars and researchers to contribute actively to the paradigm shift needed for our planet's survival.
