Artificial Intelligence in Industry 4.0: A Collection of Innovative Research Case-studies that are Reworking the Way We Look at Industry 4.0 Thanks to, Dingli Alexiei, Haddod Foaad, Klьver Christina
Artificial intelligence is a word that carries with it heavy connotations. Although artificial intelligence is nothing more than the capacity for logic and understanding that machines can exhibit, in the minds of most people artificial intelligence is almost a Pandora's box that, when opened, will eventually signal the human race's doom..
The idea that machines pose an existential threat to human beings has been around for at least 60 years. It goes something like this: intelligent machines eventually realize the uselessness of human beings and turn against their creators. Or this: intelligent machines reduce human to cattle or even food after a dramatic war that human beings lose.
Human beings have created countless languages and writing systems that have allowed us to expand collective human knowledge over a period of thousands of years. Much of the knowledge that we utilized today, knowledge about the math, science, and the stars, originates from observations made thousands of years ago but which were recorded by writing systems, allowing this knowledge to be preserved and passed down.
Artificial intelligence has been used for many business, financial, medical, and other applications, and scientists and researchers are actively studying how these applications can be expanded to make human life simpler.
The applications of AI will be explored in this book, both the real applications to business, finance, medicine, and health and the theoretical applications. Even the sensational, perhaps exaggerated applications of AI will be explored in the context of taking a look at how AI may potentially be applied in the future. The purpose of this discussion is for the reader to understand what AI is by understanding how it is used.
Artificial intelligence is certainly a blessing at this point, but the reality that it may become a curse is not lost on some people. Understanding the full implications of AI requires a deep knowledge of what it is and where it came from.
For companies and businesses to take advantage of AI-powered and improved interactions, the conversation has to begin inside the organization. Leaders are supposed to start with the available channels and improve their smartness. From that point, they are supposed to ask key questions about engagements with customers and employees.
Here is a preview of what you will learn...
Brief history of artificial intelligence
The state of art of machine learning
Artificial neural networks applied to machine learning
How can we build an AI ready culture
Our daily lives with AI
And More.....
Автор: Awasthi Shashank, Travieso-Gonzбlez Carlos M., Sanyal Goutam Название: Artificial Intelligence for a Sustainable Industry 4.0 ISBN: 3030770699 ISBN-13(EAN): 9783030770693 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities.
Описание: This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields.
Описание: With the proliferation of technology, science became a medium used to create and interpret heritage in a way that redefines human achievements.
Описание: With the proliferation of technology, science became a medium used to create and interpret heritage in a way that redefines human achievements.
Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.
With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.
This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.
The groundbreaking book presents state-of-the-art chapters on many subjects including:
A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
A review of current augmenting dental care
An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
A review of telemedicine technologies
Building empathy in young children using augmented reality
AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
Mobile doctor brain AI App
An artificial intelligence mobile cloud computing tool
Development of a robotic teaching aid for disabled children
Training system design of lower limb rehabilitation robot based on virtual reality
Описание: Featuring research on topics such as low energy buildings` concepts, construction materials and technology, hybrid energy systems, energy balance, and wellbeing, this book meets the expectations of academicians, specialists and researchers in the field, along with the scholars seeking coverage on buildings, environmental and human impact.
Описание: As technology grows more effective and refined, businesses and organizations are increasingly taking advantage by automating processes that were once presided over by human workers. As businesses explore the benefits of machine learning, research is necessary to examine the effects of the integration of technology to human workplaces.
Advancing Skill Development for Business Managers in Industry 4.0: Emerging Research and Opportunities is an essential publication that examines Industry 4.0 and the important technological applications that revolutionize and disrupt modern organizations, such as artificial intelligence, machine learning, and programming languages, such as Python, to contextualize big data in business and frame the skills necessary for a high-performing modern workforce. The book provides a conceptual framework, analysis, and discussion of the issues concerning organizational behavior through the lens of organizational culture and emotions. Covering topics that include data-driven organizations, the digital business models, and leadership techniques, this book is ideally designed for managers, executives, IT specialists, computer engineers, data scientists, researchers, academicians, and students.
Описание: As technology grows more effective and refined, businesses and organizations are increasingly taking advantage by automating processes that were once presided over by human workers. As businesses explore the benefits of machine learning, research is necessary to examine the effects of the integration of technology to human workplaces.
Advancing Skill Development for Business Managers in Industry 4.0: Emerging Research and Opportunities is an essential publication that examines Industry 4.0 and the important technological applications that revolutionize and disrupt modern organizations, such as artificial intelligence, machine learning, and programming languages, such as Python, to contextualize big data in business and frame the skills necessary for a high-performing modern workforce. The book provides a conceptual framework, analysis, and discussion of the issues concerning organizational behavior through the lens of organizational culture and emotions. Covering topics that include data-driven organizations, the digital business models, and leadership techniques, this book is ideally designed for managers, executives, IT specialists, computer engineers, data scientists, researchers, academicians, and students.
Описание: Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings.
The Handbook of Research on the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers' points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.
Learn how Artificial Intelligence (AI) is being applied in the fashion industry. With an application focused approach, this book provides real-world examples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals. The book investigates the ways in which AI is impacting every part of the fashion value chain starting with product discovery and working backwards to manufacturing.
Artificial Intelligence for Fashion walks you through concepts, such as connected retail, data mining, and artificially intelligent robotics. Each chapter contains an example of how AI is being applied in the fashion industry illustrated by one major technological theme. There are no equations, algorithms, or code. The technological explanations are cumulative so you'll discover more information about the inner workings of artificial intelligence in practical stages as the book progresses.
What You'll Learn
Gain a basic understanding of AI and how it is used in fashion
Understand key terminology and concepts in AI
Review the new competitive landscape of the fashion industry
Conceptualize and develop new ways to apply AI within the workplace
Who This Book Is For Fashion industry professionals from designers, managers, department heads, and executives can use this book to learn about how AI is impacting roles in every department and profession.
We often hear that AI is revolutionising the financial sector, like no other technology has done before. This book looks beyond these clich s and explores all aspects of this transformation at a deep level. It spells out a vision for the future and answers many questions that are routinely ignored.
What do we mean by Artificial Intelligence in finance? How do we move past the myths and misconceptions to reveal the key driving forces?
What are the industry trends that align with this transformation? Is it the explosion of digital touchpoints in retail, the reduced risk taking by investment banks, or the ascent of passive funds in asset management?
How do we develop concrete use cases from idea generation to production? How do we engineer systems to make accurate predictions, offer recommendations to clients, or analyse unstructured news data?
How do we build a successful data-driven organisation? What are the key pitfalls to avoid? Is it about culture, data governance, or management vision?
What are the risks specific to developing AI technologies? Can we humans understand and explain what the machines produce for us? Can we trust their predictions or actions?
What is the role of alternative data in all this? How can we put it to use for augmented insight?
What are the problems that AI is well equipped to solve? Is it all about neural networks and deep learning, as we regularly hear in the popular press? How do we understand human language, a task so important to the financial analyst?
The book is packed with concrete examples from the various disciplines of finance. Interested readers will also develop a deep understanding of AI algorithms - presented in plain English - and learn how to solve the most challenging problems. But first and foremost, it is a practical book that equips finance executives with everything they need to understand this transformation and to become agents of change themselves.
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