Products related to Intelligence:
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Mirror with a Memory : Photography, Surveillance, Artificial Intelligence
The complicity of the image: photography at the intersection of police surveillance, corporate/state control and artificial intelligenceHow are images being utilized to gather data on our daily activities?With the development and advancement of artificial intelligence, there has been a radical change in the way surveillance systems capture, categorize and synthesize photographs.Mirror with a Memory explores the intersection between AI, photography and surveillance—its past, present and future—to underscore concerns about implicit bias, right to privacy and police monitoring embedded in corporate, military and law enforcement applications. Contributors include: Zach Blas, Simone Browne, Joy Buolamwini, Oliver Chanarin, Adrian Chen, Harun Farocki, Forensic Architecture, Lynn Hershman Leeson, Trevor Paglen, Martha Rosler and Martine Syms.
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Artificial Intelligence And Innovation Management
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate.It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation).The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions.They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).
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Artificial Intelligence and the Perspective of Autonomous Surgery
This book has two heroes - the surgeon and the robot.The education system and intelligence can create a human who is specialized in surgery.While the accurate analysis of data with machine learning, AI, can create a more autonomous robot for surgery.Currently, robots still require human input in the decision-making loop, whether or not this will always be the case is an issue that still needs to be debated, analyzed and studied, preferably by computer scientists AND surgeons. Surgeons and their patients are increasingly opting for less invasive surgeries.However, among their many advantages, there is an important issue: less invasiveness always means limited access to direct information from the operating field (3D image, local palpation sensations, all information about the "whole" patient and feedback from the accompanying team during teleoperation).To increase precision, we are increasingly using surgical robots and mechatronic instruments.The less invasive the surgery and the greater the precision of robotic micro-instruments, the greater the role of artificial intelligence methods, especially machine learning, which supports the surgeon in making decisions, planning and performing the procedure. The development of artificial intelligence and further evidence of its effectiveness in various application fields mean that the work of a doctor is changing today.In the book, we address the issue of AI surgery, asking whether this means that an AI surgeon will be created?A key question about autonomous surgical robots will come up regularly: how far can we go with their autonomy while maintaining safe and effective procedures?The book provides useful information on both early successes, failures, and expectations related to the development of new technologies in surgery.It is a guide written by various experts, intended for a wide audience: from medical development planners, through students, to doctors and decision-makers.
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Robot Ethics 2.0 : From Autonomous Cars to Artificial Intelligence
The robot population is rising on Earth and other planets. (Mars is inhabited entirely by robots.) As robots slip into more domains of human life--from the operating room to the bedroom--they take on our morally important tasks and decisions, as well as create new risks from psychological to physical.This makes it all the more urgent to study their ethical, legal, and policy impacts. To help the robotics industry and broader society, we need to not only press ahead on a wide range of issues, but also identify new ones emerging as quickly as the field is evolving.For instance, where military robots had received much attention in the past (and are still controversial today), this volume looks toward autonomous cars here as an important case study that cuts across diverse issues, from liability to psychology to trust and more. And because robotics feeds into and is fed by AI, the Internet of Things, and other cognate fields, robot ethics must also reach into those domains, too. Expanding these discussions also means listening to new voices; robot ethics is no longer the concern of a handful of scholars.Experts from different academic disciplines and geographical areas are now playing vital roles in shaping ethical, legal, and policy discussions worldwide.So, for a more complete study, the editors of this volume look beyond the usual suspects for the latest thinking.Many of the views as represented in this cutting-edge volume are provocative--but also what we need to push forward in unfamiliar territory.
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Will artificial intelligence ever become autonomous?
Artificial intelligence has the potential to become increasingly autonomous as technology advances. However, the level of autonomy that AI will achieve is still uncertain and will depend on various factors such as ethical considerations, technological limitations, and regulatory frameworks. While AI systems can already perform certain tasks autonomously, such as driving cars or playing complex games, achieving full autonomy with human-like reasoning and decision-making abilities is still a long-term goal that may or may not be realized in the future.
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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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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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Ferret! : USAAF Airborne Signals Intelligence Development and Operations 1942-1945
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Militarizing Artificial Intelligence : Theory, Technology, and Regulation
This book examines the military characteristics and potential of Artificial Intelligence (AI) in the new global revolution in military affairs. Offering an original perspective on the utilization, imagination, and politics of AI in the context of military development and weapons regulation, the work provides a comprehensive response to the question of how we might reflect on the AI revolution in warfare and what can be said about the ways in which this has been handled.In the first part of the book, AI is accommodated, both theoretically and empirically, in the strategic context of the 'Revolution in Military Affairs' (RMA).The book offers a novel understanding of autonomous weapons as multi-layered composite systems, pointing to a complex, non-linear interplay between evolutionary and revolutionary dynamics.In the second section, the book provides an impartial analysis of the related politics and operations of power, whereby increases in military budgets and R&D of the great powers are met and countered by advocacy networks and scientists campaigning for a ban on lethal autonomous weapons.As such, it moves beyond popular caricatures of ‘killer robots’ and points out some of the problems which result from over-reliance on such imagery. This book will be of much interest to students of strategic studies, critical security studies, arms control and disarmament, science and technology studies and general International Relations.
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Applications of Computational Intelligence in Concrete Technology
Computational intelligence (CI) in concrete technology has not yet been fully explored worldwide because of some limitations in data sets.This book discusses the selection and separation of data sets, performance evaluation parameters for different types of concrete and related materials, and sensitivity analysis related to various CI techniques.Fundamental concepts and essential analysis for CI techniques such as artificial neural network, fuzzy system, support vector machine, and how they work together for resolving real-life problems, are explained.Features: It is the first book on this fast-growing research field. It discusses the use of various computation intelligence techniques in concrete technology applications. It explains the effectiveness of the methods used and the wide range of available techniques. It integrates a wide range of disciplines from civil engineering, construction technology, and concrete technology to computation intelligence, soft computing, data science, computer science, and so on. It brings together the experiences of contributors from around the world who are doing research in this field and explores the different aspects of their research.The technical content included is beneficial for researchers as well as practicing engineers in the concrete and construction industry.
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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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