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Empowering artificial intelligence through machine learning : new advances and applications
\"This new volume, Empowering Artificial Intelligence Through Machine Learning: New Advances and Applications, discusses various new applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next big-game changer in research and technology. The volume looks at how computing has enabled machines to learn, making machines and tools become smarter in many sectors, including science and engineering, healthcare, finance, education, gaming, security, and even agriculture, plus many more areas. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more. The book will be valuable for professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology\"-- Provided by publisher.
Book
Shapley value: from cooperative game to explainable artificial intelligence
With the tremendous success of machine learning (ML), concerns about their black-box nature have grown. The issue of interpretability affects trust in ML systems and raises ethical concerns such as algorithmic bias. In recent years, the feature attribution explanation method based on Shapley value has become the mainstream explainable artificial intelligence approach for explaining ML models. This paper provides a comprehensive overview of Shapley value-based attribution methods. We begin by outlining the foundational theory of Shapley value rooted in cooperative game theory and discussing its desirable properties. To enhance comprehension and aid in identifying relevant algorithms, we propose a comprehensive classification framework for existing Shapley value-based feature attribution methods from three dimensions: Shapley value type, feature replacement method, and approximation method. Furthermore, we emphasize the practical application of the Shapley value at different stages of ML model development, encompassing pre-modeling, modeling, and post-modeling phases. Finally, this work summarizes the limitations associated with the Shapley value and discusses potential directions for future research.
Journal Article
Artificial intelligence, machine learning, and data science technologies : future impact and well-being for society 5.0
\"This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, etc. and how all countries around the world are feeling this impact. The book aims at low cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and post graduate students, researchers, academicians, institutions, and professionals that are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science\"-- Provided by publisher.
Book
Remote collaborative process optimization in research and design of industrial manufacturing
In response to the impact of COVID-19, the manufacturing industry and academic industrial research have largely shifted to online or hybrid conference formats. The sudden change has posed challenges for researchers and teams to adapt. Based on the current state of online conferences, inadequate communication, disruptions during meetings, confusion and loss of meeting information, and difficulties in conducting online collaborations are observed. This paper presents a design of a real-time discussion board that combines online conferences and synchronous discussions to address the issues arising from remote collaborations in industrial research. The research demonstrates that synchronous discussions conducted within multi-team industrial collaboration teams with specific and diverse issues can better control the flow of meetings, enhance meeting efficiency, promote participant interaction and engagement, reduce information loss, and weaken the boundaries between online and offline collaboration.
Journal Article
IoT and AI technologies for sustainable living : a practical handbook
\"This book brings together all the latest methodologies, tools and techniques related to the Internet of Things and Artificial Intelligence in a single volume to build insight into their use in the sustainable living. The applications include areas such as agriculture, smart farming, healthcare, bioinformatics, self-diagnosis system, body sensor network, multimedia mining, multimedia in forensics and security. It provides a comprehensive discussion of modeling and implementation in water resource optimization, recognizing pest pattern, traffic scheduling, web mining, cyber security and cyber forensics. It will help develop an understanding of the need of AI and IoT to have a sustainable era of human living Tools covered include genetic algorithms, cloud computing, water resource management, web mining, machine learning, block chaining, learning algorithm, sentimental analysis and NLP. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities\"-- Provided by publisher.
Book
Integration of Artificial Intelligence and Machine Learning Methods for Smart Internet of Things Systems and Its Applications
This book is crafted to provide a comprehensive exploration of the integration of AI and ML techniques in the context of Smart IoT systems. The editors embark on a journey through the fundamental principles, methodologies, and applications that define this dynamic field. From the basics of AI and ML to their tailored applications in the IoT domain, the chapters unfold to reveal the intricacies of this symbiotic relationship. Key features of this book include the following. Foundations of AI and ML: The book begins with a thorough examination of the foundational concepts of AI and ML, providing readers with a solid understanding of the principles that underpin these technologies; Smart IoT Systems: Delving into the world of Smart IoT systems, the book explores the architecture, components, and challenges associated with building intelligent and interconnected ecosystems; Integration Strategies: Various strategies for seamlessly integrating AI and ML into IoT systems are discussed, offering insights into how these technologies can complement each other to enhance overall system efficiency; Applications Across Industries: The practical applications of AI and ML in diverse industries are explored, showcasing real-world examples of how these technologies are reshaping sectors such as healthcare, transportation, manufacturing, and more; Challenges and Future Directions: Recognizing that every technological advancement comes with its set of challenges, the book addresses the ethical, security, and privacy concerns associated with the integration of AI and ML in Smart IoT systems. Additionally, it provides a glimpse into the future, outlining potential trends and advancements.
eBook
The age of em : work, love, and life when robots rule the Earth
Robots may one day rule the world, but what is a robot-ruled Earth like? Many think that the first truly smart robots will be brain emulations or \"ems.\" Robin Hanson draws on decades of expertise in economics, physics, and computer science to paint a detailed picture of this next great era in human (and machine) evolution - the age of em.
eBook
Artificial intelligence and cybersecurity : advances and innovations
\"Artificial Intelligence and Cybersecurity are two emerging fields that have phenomenal contribution towards technological advancement. As cyber-attacks increase, there is a need to identify threats and thwart attacks. This book will incorporate the recent developments that artificial intelligence brings to the cybersecurity world. This edited book provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered, and solutions adopted in the fields of Artificial Intelligence and Cybersecurity\"-- Provided by publisher.
Book
Springer handbook of robotics
The second edition of this handbook provides a state-of-the-art overview on the various aspects in the rapidly developing field of robotics. Reaching for the human frontier, robotics is vigorously engaged in the growing challenges of new emerging domains.
eBook