This book constitutes the proceedings of the International Conference on Artificial Intelligence and Mobile Services, AIMS 2018, held as part of SCF 2018, in Seattle, WA, USA, in June 2018. The 20 papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers cover different aspects of mobile services from business management to computing systems, algorithms and applications. They promote technological technological innovations in research and development of mobile services, including, but not limited to, wireless and sensor networks, mobile and wearable computing, mobile enterprise and eCommerce, ubiquitous collaborative and social services, machine-to-machine and Internet-of-things, clouds, cyber-physical integration, and big data analytics for mobility-enabled services

This book constitutes the proceedings of the 8th International Conference on Artificial Intelligence and Mobile Services, AIMS 2019, held as part of SCF 2019, in San Diego, CA, USA, in June 2019. The 12 full papers and one short paper presented were carefully reviewed and selected from 29 submissions. The papers cover different aspects of mobile services from business management to computing systems, algorithms and applications. They promote technological technological innovations in research and development of mobile services, including, but not limited to, wireless and sensor networks, mobile and wearable computing, mobile enterprise and eCommerce, ubiquitous collaborative and social services, machine-to-machine and Internet-of-things, clouds, cyber-physical integration, and big data analytics for mobility-enabled services.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

This book constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence and Mobile Services, AIMS 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23–26, 2023. The 9 full papers presented together and selected from 16 submissions. The conference focuses on AI modeling; AI analysis; AI & mobile applications; AI architecture; AI management; AI engineering; mobile backend as a service (MBaaS); and user experience of AI & mobile services.

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

Education has a substantial impact and influences on almost all sectors in modern society. Different computer-supported educational systems have been developing for many decades to support and make easier teaching and learning processes on all levels of education. Influences of rapid development of Information Communication Technologies and other related disciplines on design and implementation of intelligent, sophisticated educational systems are evident. Nowadays intensive development and wide applications of Artificial Intelligent techniques significantly affect the development of intelligent tutoring systems, smart learning environments that incorporate virtual and augmented reality and robots. Artificial Intelligence has the potential to address some of the biggest challenges in education today, but also in the future in order to establish innovative teaching and learning practices facilitated by powerful educational datamining and learning analytics. This book presents a collection of 17 chapters that bring interesting aspects of the state-of-the-art of application of intelligent techniques in different educational processes and settings. We believe that the works presented in the book will be of great interest to readers and that will motivate them to try to enhance presented approaches and propose better and more advanced solutions.

Discover the exciting future of sports in the digital age with "21st Century Sports: How Technologies Will Change Sports in the Digital Age." This thought-provoking book, now in its second edition, delves into the transformative power of technology on the world of sports within the next five to ten years and beyond. Written by esteemed academics from prestigious institutions like the Massachusetts Institute of Technology, Queensland University of Technology, and the University of Cambridge, alongside seasoned practitioners with extensive technological expertise, this collection of essays offers profound insights. Through their comprehensive analysis, the authors explore the profound impacts of emerging technologies such as artificial intelligence, the Internet of Things, blockchain, web3 and robotics on sports. Uncover how these technologies will revolutionize not only the nature of sports itself but also consumer behavior and existing business models. Athletes, entrepreneurs, and innovators working in the sports and other industries will find invaluable guidance to identify trendsetting technologies, gain deeper insights into their implications, and stay ahead of the competition, both on and off the field. In this new edition, a special focus is given to technology convergence, featuring chapters on the future of fandom, sports in the third connected age and in new digital worlds like the Metaverse. This book is your gateway to the dynamic world where technology and sports intersect, offering a compelling vision of what lies ahead.

The COVID-19 pandemic has had an overwhelming impact on business operations such as global supply chain management, remote work, emerging economic and financial models, and international expansion plans. It is essential to thoroughly analyze the current state of international business operations so that they may progress in this era of uncertainty. Analyzing International Business Operations in the Post-Pandemic Era provides a synthesis of multiple international business functions and issues in the post-pandemic era that culminated in a single volume based on empirical research, theoretical development, and business practice. It discusses how the COVID-19 pandemic has altered international business operations. Covering topics such as deglobalization, corporate behavior, and resilient global supply chains, this premier reference source is an essential resource for economists, business leaders and managers, entrepreneurs, government officials, students and educators of higher education, libraries, researchers, and academicians.

This book aims to fill the literature gap on digital instruments and FinTech in enhancing green finance. ​Technological innovation can increase transparency, accountability, and speed, decentralize the financial system, improve risk management, increase competition, lower costs, improve efficiency, increase cross-sectoral collaboration and integration, and scale up green finance. Artificial intelligence (AI), distributed ledger technologies (DLT) or blockchain, peer-to-peer lending platforms, big data, Internet-based and mobile-based payment platforms, Internet of Things (IoT), matchmaking platforms including crowdlending, tokenizing green assets are potential means to scale up the green finance for achieving the SDGs. The COVID-19 pandemic, the economic downturns, and the uncertainties shrank the new investments in renewable energy projects globally. Low investment in renewable energy projects could threaten the expansion of green energy needed to provide energy security and meet SDG7 and SDG13. Investments in renewable energy projects are scarce because of several risks and a low rate of return. Although several new green financing solutions such as green bonds, green banks, green credit guarantee, carbon taxation, carbon trade, village funds, and community trust funds have been established in different countries, these are insufficient, and alternative ways to finance projects are required. The book provides several high-quality studies on utilizing digitalization, FinTech, financial innovations, and other new technologies to fill the finance gap of green projects to meet the SDG goals. The chapters are written by scholars in diverse countries and regions and include practical policy recommendations.