Impact And Opportunities Of Artificial Intelligence Techniques In The Steel Industry
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| Author | : Valentina Colla |
| Publisher | : Springer Nature |
| Total Pages | : 166 |
| Release | : 2021-02-04 |
| Genre | : Technology & Engineering |
| ISBN | : 3030693678 |
This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled “Impact and Opportunities of Artificial Intelligence in the Steel Industry” organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.
| Author | : |
| Publisher | : |
| Total Pages | : 41 |
| Release | : 2018 |
| Genre | : Artificial intelligence |
| ISBN | : 9780856726262 |
| Author | : Ajay Agrawal |
| Publisher | : University of Chicago Press |
| Total Pages | : 172 |
| Release | : 2024-03-05 |
| Genre | : Business & Economics |
| ISBN | : 0226833127 |
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
| Author | : Khan, Syed Abdul Rehman |
| Publisher | : IGI Global |
| Total Pages | : 307 |
| Release | : 2022-03-11 |
| Genre | : Business & Economics |
| ISBN | : 1799876446 |
In recent decades, the industrial revolution has increased economic growth despite its immersion in global environmental issues such as climate change. Researchers emphasize the adoption of circular economy practices in global supply chains and businesses for better socio-environmental sustainability without compromising economic growth. Integrating blockchain technology into business practices could promote the circular economy as well as global environmental sustainability. Integrating Blockchain Technology Into the Circular Economy discusses the technological advancements in circular economy practices, which provide better results for both economic growth and environmental sustainability. It provides relevant theoretical frameworks and the latest empirical research findings in the applications of blockchain technology. Covering topics such as big data analytics, financial market infrastructure, and sustainable performance, this book is an essential resource for managers, operations managers, executives, manufacturers, environmentalists, researchers, industry practitioners, students and educators of higher education, and academicians.
| Author | : Limao Zhang |
| Publisher | : Springer Nature |
| Total Pages | : 271 |
| Release | : 2021-06-18 |
| Genre | : Technology & Engineering |
| ISBN | : 9811628424 |
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
| Author | : Jacob Parakilas |
| Publisher | : Chatham House (Formerly Riia) |
| Total Pages | : 60 |
| Release | : 2018 |
| Genre | : Political Science |
| ISBN | : 9781784132125 |
"The rise of AI must be better managed in the near term in order to mitigate longer term risks and to ensure that AI does not reinforce existing inequalities"--Publisher.
| Author | : C. Chen |
| Publisher | : IOS Press |
| Total Pages | : 1158 |
| Release | : 2024-02-15 |
| Genre | : Computers |
| ISBN | : 164368485X |
Artificial Intelligence (AI) is rapidly becoming an inescapable part of modern life, and the fact that AI technologies and applications will inevitably bring about significant changes in many industries and economies worldwide means that this field of research is currently attracting great interest. This book presents the proceedings of ICAITA 2023, the 5th International Conference on Artificial Intelligence Technologies and Applications, held as a hybrid event from 30 June to 2 July 2023 in Changchun, China. The conference provided an international forum for academic communication between experts and scholars in the field of AI, promoting the interchange of scientific information between participants and establishing connections which may lead to collaboration, research, and development activities in related fields. The 126 papers included here were selected following a thorough review process and are divided into 4 sections, covering AI simulation and mechatronics; intelligent network architecture and system monitoring; intelligent algorithm modeling and numerical analysis; and intelligent graph recognition and information processing. Topics addressed include artificial neural networks, computational theories of learning, intelligent system architectures, pervasive computing and ambient intelligence, and fuzzy logic and methods. Covering a wide range of topics and applications current in AI research, the book will be of interest to all those working in the field.
| Author | : María Teresa Del Val Núñez |
| Publisher | : Springer Nature |
| Total Pages | : 252 |
| Release | : |
| Genre | : |
| ISBN | : 3031587049 |
| Author | : Irfan, Mohammad |
| Publisher | : IGI Global |
| Total Pages | : 316 |
| Release | : 2023-01-09 |
| Genre | : Business & Economics |
| ISBN | : 1668444852 |
The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.
| Author | : Mahmoud Ragab AL-Refaey |
| Publisher | : John Wiley & Sons |
| Total Pages | : 325 |
| Release | : 2024-07-15 |
| Genre | : Computers |
| ISBN | : 1394216114 |
Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.
