Products related to Artificial:
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Information Technology Security and Risk Management : Inductive Cases for Information Security
Information Technology Security and Risk Management: Inductive Cases for Information Security is a compilation of cases that examine recent developments and issues that are relevant to IT security managers, risk assessment and management, and the broader topic of IT security in the 21st century.As the title indicates, the cases are written and analyzed inductively, which is to say that the authors allowed the cases to speak for themselves, and lead where they would, rather than approach the cases with presuppositions or assumptions regarding what the case should be "about".In other words, the authors were given broad discretion to interpret a case in the most interesting and relevant manner possible; any given case may be "about" many things, depending on the perspective adopted by the reader, and many different lessons may be learned.The inductive approach of these cases reflects the design philosophy of the advanced IT Security and Risk Management course we teach on the topic here at the University of Canterbury, where all discussions begin with the analysis of a specific case of interest and follow the most interesting and salient aspects of the case in evidence.In our course, the presentation, analysis, and discussion of a case are followed by a brief lecture to address the conceptual, theoretical, and scholarly dimensions arising from the case.The inductive approach to teaching and learning also comes with a huge advantage – the students seem to love it, and often express their appreciation for a fresh and engaging approach to learning the sometimes-highly-technical content of an IT security course.As instructors, we are also grateful for the break in the typical scripted "chalk-and-talk" of a university lecture afforded by the spontaneity of the inductive approach. We were motivated to prepare this text because there seems to be no other book of cases dedicated to the topic of IT security and risk management, and because of our own success and satisfaction with inductive teaching and learning.We believe this book would be useful either for an inductive, case-based course like our own or as a body of cases to be discussed in a more traditional course with a deductive approach.There are abstracts and keywords for each case, which would help instructors select cases for discussions on specific topics, and PowerPoint slides are available as a guide for discussion about a given case.
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Digital Signifiers in an Architecture of Information : From Big Data and Simulation to Artificial Intelligence
This book proposes a new critical relationship between computation and architecture, developing a history and theory of representation in architecture to understand and unleash potential means to open up creativity in the field. Historically, architecture has led to spatial representation.Today, computation has established new representational paradigms that can be compared to spatial representations, such as the revolution of perspective in the Renaissance.Architects now use software, robotics, and fabrication tools with very little understanding and participation in how these tools influence, revolutionize, and determine both architecture and its construction today.Why does the discipline of architecture not have a higher degree of authorship in the conception and development of computational technologies that define spatial representation?This book critically explores the relationship between history, theory, and cultural criticism.Lorenzo-Eiroa positions new understandings through parallel historical sections and theories of many revolutionary representational architecture canons displaced by conventional spatial projection.He identifies the architects, artists, mathematicians, and philosophers that were able to revolutionize their disciplines through the development of new technologies, new systems of representation, and new lenses to understand reality.This book frames the discussion by addressing new means to understand and expand architecture authorship in relation to the survey, information, representation, higher dimensional space, Big Data, and Artificial Intelligence – in the pursuit of activating an architecture of information.This will be important reading for upper-level students and researchers of architecture and architectural theory, especially those with a keen interest in computational design and robotic fabrication.
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Modern Cryptography : Applied Mathematics for Encryption and Information Security
This expanded textbook, now in its second edition, is a practical yet in depth guide to cryptography and its principles and practices.Now featuring a new section on quantum resistant cryptography in addition to expanded and revised content throughout, the book continues to place cryptography in real-world security situations using the hands-on information contained throughout the chapters.Prolific author Dr. Chuck Easttom lays out essential math skills and fully explains how to implement cryptographic algorithms in today's data protection landscape.Readers learn and test out how to use ciphers and hashes, generate random keys, handle VPN and Wi-Fi security, and encrypt VoIP, Email, and Web communications.The book also covers cryptanalysis, steganography, and cryptographic backdoors and includes a description of quantum computing and its impact on cryptography.This book is meant for those without a strong mathematics background with only just enough math to understand the algorithms given.The book contains a slide presentation, questions and answers, and exercises throughout. Presents new and updated coverage of cryptography including new content on quantum resistant cryptography;Covers the basic math needed for cryptography - number theory, discrete math, and algebra (abstract and linear);Includes a full suite of classroom materials including exercises, Q&A, and examples.
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Management and Information Technology after Digital Transformation
With the widespread transformation of information into digital form throughout society – firms and organisations are embracing this development to adopt multiple types of IT to increase internal efficiency and to achieve external visibility and effectiveness – we have now reached a position where there is data in abundance and the challenge is to manage and make use of it fully.This book addresses this new managerial situation, the post-digitalisation era, and offers novel perspectives on managing the digital landscape. The topics span how the post-digitalisation era has the potential to renew organisations, markets and society.The chapters of the book are structured in three topical sections but can also be read individually.The chapters are structured to offer insights into the developments that take place at the intersection of the management, information systems and computer science disciplines.It features more than 70 researchers and managers as collaborating authors in 23 thought-provoking chapters. Written for scholars, researchers, students and managers from the management, information systems and computer science disciplines, the book presents a comprehensive and thought-provoking contribution on the challenges of managing organisations and engaging in global markets when tools, systems and data are abundant.
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Would you use artificial AI data?
As an AI assistant, I do not have personal preferences or the ability to use data. However, the use of artificial AI data can be beneficial in certain scenarios where real data is limited or unavailable. It can help in training AI models, testing algorithms, and simulating different scenarios. However, it is important to ensure that the artificial data accurately represents the real-world data to avoid biases or inaccuracies in the AI system's performance.
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Is there artificial stupidity if there is artificial intelligence?
Yes, there can be artificial stupidity if there is artificial intelligence. Artificial stupidity can be seen as the result of errors or limitations in the programming or functioning of artificial intelligence systems. Just as artificial intelligence aims to replicate human intelligence, artificial stupidity can arise from the replication of human errors or limitations in the AI systems. This can manifest in various ways, such as incorrect decision-making, flawed reasoning, or inability to learn from mistakes. Therefore, the presence of artificial intelligence does not guarantee the absence of artificial stupidity.
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What is artificial intelligence and what are artificial problems?
Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI systems can be designed to learn from data, adapt to new inputs, and perform tasks with minimal human intervention. Artificial problems, on the other hand, are challenges or obstacles that arise in the development and implementation of AI systems. These problems can include issues related to data quality and availability, algorithmic bias, ethical considerations, and the potential impact of AI on the job market and society. Addressing these artificial problems is crucial for the responsible and effective deployment of AI technologies.
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'Artificial turf or velour?'
Artificial turf and velour are two different materials commonly used in different applications. Artificial turf is often used in outdoor spaces such as sports fields and playgrounds, providing a durable and low-maintenance alternative to natural grass. On the other hand, velour is a plush fabric often used in clothing, upholstery, and drapery for its soft texture and luxurious appearance. The choice between artificial turf and velour would depend on the specific needs and preferences of the project, with artificial turf being more suitable for outdoor landscaping and velour being more appropriate for indoor decor and fashion.
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Information Technology : An Introduction for Today’s Digital World
This revised edition has more breadth and depth of coverage than the first edition.Information Technology: An Introduction for Today’s Digital World introduces undergraduate students to a wide variety of concepts that they will encounter throughout their IT studies and careers. The features of this edition include: Introductory system administration coverage of Windows 10 and Linux (Red Hat 7), both as general concepts and with specific hands-on instruction Coverage of programming and shell scripting, demonstrated through example code in several popular languages Updated information on modern IT careers Computer networks, including more content on cloud computing Improved coverage of computer security Ancillary material that includes a lab manual for hands-on exercisesSuitable for any introductory IT course, this classroom-tested text presents many of the topics recommended by the ACM Special Interest Group on IT Education (SIGITE).It offers a far more detailed examination of the computer and IT fields than computer literacy texts, focusing on concepts essential to all IT professionals – from system administration to scripting to computer organization.Four chapters are dedicated to the Windows and Linux operating systems so that students can gain hands-on experience with operating systems that they will deal with in the real world.
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Artificial Intelligence and Smart Agriculture Technology
This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications.As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications.The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems.The third chapter looks at the use of blockchain technology in smart agricultural scenarios.In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture.Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications.The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools.The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources.The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues.Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases.Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter. This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia.
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BTEC Tech Award 2022 Digital Information Technology Student Book
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Healthcare Information Technology for Cardiovascular Medicine : Telemedicine & Digital Health
This unique book comprehensively reviews how information technology is changing cardiovascular medical practice.Chapters include a wide range of topics from specific technologies and virtual care education to large system implementation. Extensive illustrative material and specific case studies are included throughout to reinforce key concepts and enable the reader to develop an understanding of how information technology is impacting medical practice.Health equity, medicolegal ethics, and regulatory considerations are also covered. Healthcare Information Technology for Cardiovascular Medicine: Telemedicine & Digital Health provides a foundation for better understanding how these technologies impact cardiovascular care delivery.Its comprehensive analysis enables healthcare providers and other stakeholders to enhance clinical practice through digital health implementation.
Price: 64.99 £ | Shipping*: 0.00 £
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Is artificial leather waterproof?
Yes, artificial leather is typically waterproof. It is made from synthetic materials that are designed to repel water and resist moisture. This makes it a popular choice for items like bags, shoes, and jackets that may be exposed to wet conditions. However, it is always best to check the specific product details to ensure it has the desired level of water resistance.
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Is artificial insemination immoral?
The morality of artificial insemination is subjective and depends on individual beliefs and values. Some may argue that it is a helpful medical procedure that allows individuals or couples to conceive when natural methods are not possible. Others may view it as immoral due to ethical concerns about the manipulation of the natural reproductive process. Ultimately, the decision on whether artificial insemination is immoral or not is a personal one that should be based on careful consideration of one's own beliefs and values.
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What is artificial vomiting?
Artificial vomiting, also known as induced vomiting, is the act of intentionally causing oneself or someone else to vomit. This can be done for various reasons, such as to rid the body of toxic substances or to alleviate feelings of nausea. However, artificial vomiting should only be done under the guidance of a medical professional, as it can be dangerous and may lead to complications if not done properly. It is important to seek medical advice before attempting to induce vomiting.
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Is artificial leather plastic?
Artificial leather is not made of plastic, but rather it is typically made from a variety of materials such as polyurethane (PU) or polyvinyl chloride (PVC) coated onto a fabric backing. These materials are designed to mimic the look and feel of real leather while being more affordable and easier to maintain. While artificial leather is not made of plastic, it is important to note that the production and disposal of artificial leather can still have environmental impacts, so it is important to consider sustainable alternatives.
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