Resource Efficient Artificial Intelligence
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Artificial Intelligence Techniques for Sustainable Development
How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications. Key features: Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health Highlights the advancement in electronics and communication technology for green applications Covers smart energy harvesting/charging and power management techniques using machine learning Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change The book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.
Digital Technologies for a Resource Efficient Economy
Author: Ordóñez de Pablos, Patricia
language: en
Publisher: IGI Global
Release Date: 2024-05-06
In an era marked by escalating environmental concerns and the imperative for sustainable development, a pressing challenge looms large: the urgent need for transitioning towards circular and climate-neutral economies. As industries grapple with the complexities of achieving these critical milestones, Digital Technologies for a Resource Efficient Economy explores innovative conceptual frameworks, case studies, and empirical studies, seeking to unravel the relationship between clean technologies, digital innovation, and knowledge management. Positioned at the intersection of academia and real-world solutions, its insightful exploration engages academic scholars, researchers, industry players, policymakers, and stakeholders in a dynamic discourse on the challenges, opportunities, and trends shaping the path towards a net-zero world in Asia and beyond. Targeting a diverse audience that includes professors, policymakers, corporate leaders, and students, Digital Technologies for a Resource Efficient Economy becomes a cornerstone in the exploration of artificial intelligence, circular economy, clean energy, and other pivotal topics. By combining academic rigor with practical applications, the book becomes an indispensable resource for navigating the complexities of building resilient, inclusive, and green societies. With its recommended topics spanning a global spectrum, encompassing regions from Asia to the EU, USA, Latin America, Africa, and the Gulf Region, the book takes on a truly comprehensive approach. Seamlessly weaving together the intricacies of technology, innovation, and sustainable development, this book positions itself as a crucial guide for anyone invested in shaping a future where economies thrive in harmony with the environment.
Resource-Efficient Artificial Intelligence
For all autonomous devices the development of resource-aware machine learning techniques is required to reduce the tremendous resource consumption. This work provides theoretical and practical building blocks to bring full-fledged machine learning pipelines to systems with very low computational power or highly restricted energy supply. The presentation of theoretical methods is accompanied by actual learning results on ultra-low-power hardware.