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.

Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations. AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable.

Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations. AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable.

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.

This timely book focuses on an overview of the fundamentals behind high-performance workplaces underpinning occupants’ satisfaction, health, and productivity. To this end, it covers human, environmental, and organisational aspects proven to be of great relevance to the design of high-performance workplaces. Perhaps most significantly it looks at these characteristics both before and after the start of the COVID-19 pandemic. From the exodus from private offices to the rise of open-plan workplaces, where, how and when people work was changing rapidly pre-COVID. Post-COVID, pandemic-imposed restrictions banished workers from offices into their homes fast, leaving organisation scrambling to keep workers functioning away from HQ. After the immediate shockwaves set by the pandemic, workers and organisations have had the time to learn about positives and negative aspects of remote working with the vast majority now questioning the need to go back to HQ and the purpose of offices. In this book, the contributors share and discuss lessons learned from research conducted in workplaces pre- and post-2020 with a view of providing a clear picture about what high-performance workplaces are about, including the key drivers behind workers’ satisfaction, health, and productivity. This handbook builds on a programme of applied research conducted in workplaces led by the editors over the last decade which is aimed at understanding the synergies between the design, performance, and experience of spaces. It examines ergonomics, biophilic design, acoustics, indoor air quality, thermal comfort, diversity, leadership, psychological safety, culture, and much more. Research findings are presented side-by-side with case studies selected from the research database led by the editors. Industry experts add to the academic voice, reinforcing the authenticity of this book and its relevance to other stakeholders found outside the academic arena, including the property and design industry, students, government, and the community in general.

This book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world.