Products related to Intelligence:
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Health Security Intelligence
Health Security Intelligence introduces readers to the world of health security, to threats like COVID-19, and to the many other incarnations of global health security threats and their implications for intelligence and national security. Disease outbreaks like COVID-19 have not historically been considered a national security matter.While disease outbreaks among troops have always been a concern, it was the potential that arose in the first half of the twentieth century to systematically design biological weapons and to develop these at an industrial scale, that initially drew the attention of security, defence and intelligence communities to biology and medical science.This book charts the evolution of public health and biosecurity threats from those early days, tracing how perceptions of these threats have expanded from deliberately introduced disease outbreaks to also incorporate natural disease outbreaks, the unintended consequences of research, laboratory accidents, and the convergence of emerging technologies.This spectrum of threats has led to an expansion of the stakeholders, tools and sources involved in intelligence gathering and threat assessments.This edited volume is a landmark in efforts to develop a multidisciplinary, empirically informed, and policy-relevant approach to intelligence-academia engagement in global health security that serves both the intelligence community and scholars from a broad range of disciplines.The chapters in this book were originally published as a special issue of the journal, Intelligence and National Security.
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Health Security Intelligence
Health Security Intelligence introduces readers to the world of health security, to threats like COVID-19, and to the many other incarnations of global health security threats and their implications for intelligence and national security. Disease outbreaks like COVID-19 have not historically been considered a national security matter.While disease outbreaks among troops have always been a concern, it was the potential that arose in the first half of the twentieth century to systematically design biological weapons and to develop these at an industrial scale, that initially drew the attention of security, defence and intelligence communities to biology and medical science.This book charts the evolution of public health and biosecurity threats from those early days, tracing how perceptions of these threats have expanded from deliberately introduced disease outbreaks to also incorporate natural disease outbreaks, the unintended consequences of research, laboratory accidents, and the convergence of emerging technologies.This spectrum of threats has led to an expansion of the stakeholders, tools and sources involved in intelligence gathering and threat assessments.This edited volume is a landmark in efforts to develop a multidisciplinary, empirically informed, and policy-relevant approach to intelligence-academia engagement in global health security that serves both the intelligence community and scholars from a broad range of disciplines.The chapters in this book were originally published as a special issue of the journal, Intelligence and National Security.
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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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Intelligence Agencies, Technology and Knowledge Production : Data Processing and Information Transfer in Secret Services during the Cold War
This volume examines intelligence services since 1945 in their role as knowledge producers. Intelligence agencies are producers and providers of arcane information.However, little is known about the social, cultural and material dimensions of their knowledge production, processing and distribution.This volume starts from the assumption that during the Cold War, these core activities of information services underwent decisive changes, of which scientization and computerisation are essential.With a focus on the emerging alliances between intelligence agencies, science and (computer) technology, the chapters empirically explore these transformations and are characterised by innovative combinations of intelligence history with theoretical considerations from the history of science and technology and the history of knowledge. At the same time, the book challenges the bipolarity of Cold War history in general and of intelligence history in particular in favour of comparative and transnational perspectives.The focus is not only the Soviet Union and the United States, but also Poland, Turkey, the two German states and Brazil.This approach reveals surprising commonalities across systems: time and again, the expansion and use of intelligence knowledge came up against the limits that resulted from intelligence culture itself.The book enriches our global understanding of knowledge of the state and contributes to a historical framework for the past decade of debates about the societal consequences of intelligence data processing. This book will be of much interest to students of intelligence studies, science and technology studies, security studies and International Relations.
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What does a Business Intelligence Data Architect do?
A Business Intelligence Data Architect is responsible for designing and implementing the data architecture for a company's business intelligence systems. They work closely with stakeholders to understand the organization's data needs and design data models that support reporting and analytics requirements. They also ensure data quality, integrity, and security, and may be involved in data governance and compliance efforts. Overall, a Business Intelligence Data Architect plays a crucial role in enabling data-driven decision-making within an organization.
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Why are intelligence agencies called intelligence services?
Intelligence agencies are called intelligence services because their primary function is to gather, analyze, and disseminate intelligence information. This information is used to support national security and decision-making processes. The term "intelligence" refers to the collection and analysis of information related to potential threats, security risks, and other relevant issues. Therefore, these agencies are referred to as intelligence services to emphasize their role in providing critical information to support the security and interests of a nation.
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How does emotional intelligence relate to intelligence?
Emotional intelligence is the ability to understand and manage one's own emotions, as well as understand and influence the emotions of others. It is often considered a separate form of intelligence from traditional cognitive intelligence, such as problem-solving and logical reasoning. However, emotional intelligence can complement and enhance cognitive intelligence by helping individuals navigate social interactions, manage stress, and make better decisions. In this way, emotional intelligence is a valuable aspect of overall intelligence that can contribute to success in both personal and professional settings.
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What is more important: Intelligence or emotional intelligence?
Both intelligence and emotional intelligence are important in their own ways. Intelligence helps in problem-solving, critical thinking, and decision-making, while emotional intelligence helps in understanding and managing emotions, building relationships, and empathizing with others. Both types of intelligence are valuable and can complement each other to lead to overall success and well-being. Ultimately, a balance of both types of intelligence is ideal for navigating various aspects of life effectively.
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National Security Intelligence and Ethics
This volume examines the ethical issues that arise as a result of national security intelligence collection and analysis. Powerful new technologies enable the collection, communication and analysis of national security data on an unprecedented scale.Data collection now plays a central role in intelligence practice, yet this development raises a host of ethical and national security problems, such as privacy; autonomy; threats to national security and democracy by foreign states; and accountability for liberal democracies.This volume provides a comprehensive set of in-depth ethical analyses of these problems by combining contributions from both ethics scholars and intelligence practitioners.It provides the reader with a practical understanding of relevant operations, the issues that they raise and analysis of how responses to these issues can be informed by a commitment to liberal democratic values.This combination of perspectives is crucial in providing an informed appreciation of ethical challenges that is also grounded in the realities of the practice of intelligence. This book will be of great interest to all students of intelligence studies, ethics, security studies, foreign policy and international relations. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
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Artificial Intelligence and National Security
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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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Computational Intelligence for Genomics Data
Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models.The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection.It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction.With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers.
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Can one lose high intelligence or above-average intelligence?
Intelligence is a complex trait that is influenced by both genetic and environmental factors. While it is possible for certain conditions or injuries to impact cognitive function, such as traumatic brain injury or neurodegenerative diseases, it is generally not common for someone to lose high intelligence or above-average intelligence. However, factors such as lack of mental stimulation, poor health, or substance abuse can potentially impact cognitive abilities over time. It is important to maintain a healthy lifestyle and engage in activities that stimulate the mind to preserve cognitive function.
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Are you of normal intelligence or above average intelligence?
As an AI language model, I do not possess intelligence in the same way that humans do. My responses are generated based on patterns in data and information provided to me. I am designed to assist with a wide range of tasks and provide helpful information to the best of my abilities.
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Is intelligence decreasing?
There is no definitive answer to whether intelligence is decreasing overall. Some studies suggest that average IQ scores have been increasing over time, a phenomenon known as the Flynn effect. However, other research indicates that certain cognitive abilities may be declining due to factors such as environmental pollution, lifestyle changes, and decreased physical activity. It is important to consider multiple factors and perspectives when evaluating trends in intelligence levels.
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Is intelligence inherited?
Intelligence is a complex trait that is influenced by a combination of genetic and environmental factors. While some studies suggest that there is a genetic component to intelligence, it is not solely inherited. Environmental factors such as education, nutrition, and upbringing also play a significant role in shaping a person's intelligence. Therefore, while genetics may contribute to a person's potential for intelligence, it is not the sole determining factor.
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