Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural network products and change the research methodology that people are currently using in control and recognition areas for the control signal generating, pattern recognition, nonlinear recognition, classification, and prediction. Since HONNs are open box models, they can be easily accepted and used by individuals working in information science, information technology, management, economics, and business fields. Emerging Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression, pattern recognition, and data prediction, this book is ideally designed for data analysists, IT specialists, engineers, researchers, academics, students, and professionals working in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering research.

The advent of Artificial Intelligence (AI) as an "autonomous author" urges the law to rethink authorship, originality, creativity. AI-generated artworks are in search of an author because current copyright laws offer as a solution only public domain or fragile regulatory mechanisms. During the 20th century visual artists have been posing persistent challenges to the law world: Conceptual Art favoured legal mechanisms alternative to copyright law. The case of AI-art is, however, different: for the first time the artworld is discovering the prospective of an art without human authors. Rather than preserving the status quo in the law world, policy makers should consider a reformative conception of AI in copyright law and take inspiration from innovative theories in the field of robot law, where new frames for a legal personhood of artificial agents are proposed. This would have a spill-over effect also on copyright regulations.

Ongoing advancements in modern technology have led to significant developments with smart technologies. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Smart Technologies: Breakthroughs in Research and Practice provides comprehensive and interdisciplinary research on the most emerging areas of information science and technology. Including innovative studies on image and speech recognition, human-computer interface, and wireless technologies, this multi-volume book is an ideal source for researchers, academicians, practitioners, and students interested in advanced technological applications and developments.

Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence-or soft computing-is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information.

In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: "Introduction and Background on Control Theory", "Adaptive Control and Neuroscience", "Adaptive Learning Algorithms", "Cyber-Physical Systems and Cooperative Control", "Applications". The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists. This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers, Aerospace/Automotive Engineers, and Industrial Engineers. It could be used as a text or reference for advanced courses in complex control systems. * Collection of chapters from several well-known professors and researchers that will showcase their recent work * Presents different state-of-the-art control approaches and theory for complex systems * Gives algorithms that take into consideration the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of networked teams * Real system examples and figures throughout, make ideas concrete

The development of artificial intelligence (AI) involves the creation of computer systems that can do activities that would ordinarily require human intelligence, such as visual perception, speech recognition, decision making, and language translation. Through increasingly complex programming approaches, it has been transforming and advancing the discipline of computer science. Artificial Intelligence Methods and Applications in Computer Engineering illuminates how today's computer engineers and scientists can use AI in real-world applications. It focuses on a few current and emergent AI applications, allowing a more in-depth discussion of each topic. Covering topics such as biomedical research applications, navigation systems, and search engines, this premier reference source is an excellent resource for computer scientists, computer engineers, IT managers, students and educators of higher education, librarians, researchers, and academicians.

AI is going to change your world – but don’t panic.
 
As AI becomes more widespread in the workplace and in society, what impact will it have on your job, your life and the world around you? If AI can take on more and more of the tasks people perform at work, and do them more efficiently, where does that leave human beings?
 
Taking the Anxiety out of AI  explains how to live with AI, how to benefit from it, and how to avoid being replaced by it. The book explores the differences between human intelligence and artificial intelligence, considers what tasks will always be performed better by humans, and sets out possible futures in which humans and AI work together. It provides tools to work out how AI will affect your role, what skills you need to learn, and which mindsets will equip you to thrive in the future. The book concludes with a guide to current AI programs and how to use them.
 
Whether you have experience with AI, or simply want to learn more about it, this book is an invaluable guide for navigating your future.

INTELLIGENT SECURITY SYSTEMS Dramatically improve your cybersecurity using AI and machine learning In Intelligent Security Systems, distinguished professor and computer scientist Dr. Leon Reznik delivers an expert synthesis of artificial intelligence, machine learning and data science techniques, applied to computer security to assist readers in hardening their computer systems against threats. Emphasizing practical and actionable strategies that can be immediately implemented by industry professionals and computer device's owners, the author explains how to install and harden firewalls, intrusion detection systems, attack recognition tools, and malware protection systems. He also explains how to recognize and counter common hacking activities. This book bridges the gap between cybersecurity education and new data science programs, discussing how cutting-edge artificial intelligence and machine learning techniques can work for and against cybersecurity efforts. Intelligent Security Systems includes supplementary resources on an author-hosted website, such as classroom presentation slides, sample review, test and exam questions, and practice exercises to make the material contained practical and useful. The book also offers: A thorough introduction to computer security, artificial intelligence, and machine learning, including basic definitions and concepts like threats, vulnerabilities, risks, attacks, protection, and tools An exploration of firewall design and implementation, including firewall types and models, typical designs and configurations, and their limitations and problems Discussions of intrusion detection systems (IDS), including architecture topologies, components, and operational ranges, classification approaches, and machine learning techniques in IDS design A treatment of malware and vulnerabilities detection and protection, including malware classes, history, and development trends Perfect for undergraduate and graduate students in computer security, computer science and engineering, Intelligent Security Systems will also earn a place in the libraries of students and educators in information technology and data science, as well as professionals working in those fields.

As various areas of discipline continue to progress into the digital age, diverse modes of technology are being experimented with and ultimately implemented into common practices. Mobile products and interactive devices, specifically, are being tested within educational environments as well as corporate business in support of online learning and e-commerce initiatives. There is a boundless stock of factors that play a role in successfully implementing web technologies and user-driven learning strategies, which require substantial research for executives and administrators in these fields. Handbook of Research on User Experience in Web 2.0 Technologies and Its Impact on Universities and Businesses is an essential reference source that presents research on the strategic role of user experience in e-learning and e-commerce at the level of the global economy, networks and organizations, teams and work groups, and information systems. The book assesses the impact of e-learning and e-commerce technologies on different organizations, including higher education institutions, multinational corporations, health providers, and business companies. Featuring research on topics such as ubiquitous interfaces, computer graphics, and image processing, this book is ideally designed for program developers and designers, researchers, practitioners, IT professionals, executives, academicians, and students.

As the world has adapted to the age of digital technology, present day business leaders are required to change with the times as well. Addressing and formatting their business practices to not only encompass digital technologies, but expand their capabilities, the leaders of today must be flexible and willing to familiarize themselves with all types of global business practices. Global Business Leadership Development for the Fourth Industrial Revolution is a collection of advanced research on the methods and tactics utilized to succeed as a leader in the digital age. While highlighting topics including data privacy, corporate governance, and risk management, this book is ideally designed for business professionals, administrators, managers, executives, researchers, academicians, and business students who want to improve their understanding of the strategic role of digital technologies in the global economy, in networks and organizations, in teams and work groups, in information systems, and at the level of individuals as actors in digitally networked environments.

Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval.

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation.

Investments in technologies such as the cloud, the internet of things (IoT), and robotic process automation are part of a strategy that helps organizations respond to changing customer demands and operational challenges. Emerging technologies are becoming one of the most remarkable elements to be considered in businesses, and e-businesses are no exception. With the expansion of e-businesses worldwide, the great population of e-business leaders tends to increase their knowledge to make future investments in key aspects and implications of their businesses. Thus, e-business leaders need to realize and seize existing opportunities for the advancement of their businesses. Driving Transformative Change in E-Business Through Applied Intelligence and Emerging Technologies contributes a comprehensive source to the existing knowledge and research in the field of e-business and emerging technologies and provides an understanding to readers about the current concepts, trends, technologies, and platforms in e-business. Covering topics such as competitive intelligence, enterprise resource planning systems, and online crowdfunding, this premier reference source is a comprehensive resource for business leaders and executives, IT managers, computer scientists, software engineers, economists, entrepreneurs, students, researchers, and academicians.

Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.

The book's core argument is that an artificial intelligence that could equal or exceed human intelligence-sometimes called artificial general intelligence (AGI)-is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system-the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank's computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI's potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society.

Due to its versatility and accessibility, individuals all around the world routinely use various forms of technology to interact with one another. Over the years, the design and development of technologies and interfaces have increasingly aimed to improve the human-computer interactive experience in unimaginable ways. The Handbook of Research on Human-Computer Interfaces and New Modes of Interactivity is a collection of innovative research on the methods and applications of interactive technologies in the modern age. Highlighting topics including digital environments, sensory applications, and transmedia applications, this book is ideally designed for academicians, researchers, HCI developers, programmers, IT consultants, and media specialists seeking current research on the design, application, and advancement of different media technologies and interfaces that can support interaction across a wide range of users.