Intelligence and Technology

Intelligence and Technology
Author: Robert J. Sternberg
Publisher: Routledge
Total Pages: 274
Release: 2005-05-13
Genre: Education
ISBN: 1136778055

In this volume, Robert J. Sternberg and David D. Preiss bring together different perspectives on understanding the impact of various technologies on human abilities, competencies, and expertise. The inclusive range of historical, comparative, sociocultural, cognitive, educational, industrial/organizational, and human factors approaches will stimula

Technology and the Intelligence Community

Technology and the Intelligence Community
Author: Margaret E. Kosal
Publisher: Springer
Total Pages: 289
Release: 2018-03-19
Genre: Political Science
ISBN: 3319752324

This volume examines the role of technology in gathering, assimilating and utilizing intelligence information through the ages. Pushing the boundaries of existing works, the articles contained here take a broad view of the use and implementation of technology and intelligence procedures during the cold war era and the space race, the September 2011 attacks, and more recent cyber operations. It looks at the development of different technologies, procedural implications thereof, and the underlying legal and ethical implications. The findings are then used to explore the future trends in technology including cyber operations, big data, open source intelligence, smart cities, and augmented reality. Starting from the core aspects of technical capabilities the articles dig deeper, exploring the hard and soft infrastructure of intelligence gathering procedures and focusing on the human and bureaucratic procedures involved therein. Technology and innovation have played an important role in determining the course of development of the intelligence community. Intelligence gathering for national security, however, is not limited only to the thread of technical capabilities but is a complex fabric of organizational structures, systemic undercurrents, and the role of personnel in key positions of decision making. The book’s findings and conclusions encompass not just temporal variation but also cut across a diverse set of issue areas. This compilation is uniquely placed in the interdisciplinary space combining the lessons from key cases in the past to current developments and implementation of technology options.

Applications of Artificial Intelligence for Smart Technology

Applications of Artificial Intelligence for Smart Technology
Author: Swarnalatha, P.
Publisher: IGI Global
Total Pages: 330
Release: 2020-10-30
Genre: Computers
ISBN: 1799833372

As global communities are attempting to transform into more efficient and technologically-advanced metropolises, artificial intelligence (AI) has taken a firm grasp on various professional fields. Technology used in these industries is transforming by introducing intelligent techniques including machine learning, cognitive computing, and computer vision. This has raised significant attention among researchers and practitioners on the specific impact that these smart technologies have and what challenges remain. Applications of Artificial Intelligence for Smart Technology is a pivotal reference source that provides vital research on the implementation of advanced technological techniques in professional industries through the use of AI. While highlighting topics such as pattern recognition, computational imaging, and machine learning, this publication explores challenges that various fields currently face when applying these technologies and examines the future uses of AI. This book is ideally designed for researchers, developers, managers, academicians, analysts, students, and practitioners seeking current research on the involvement of AI in professional practices.

Artificial Intelligence in Society

Artificial Intelligence in Society
Author: OECD
Publisher: OECD Publishing
Total Pages: 152
Release: 2019-06-11
Genre:
ISBN: 9264545190

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

Artificial Unintelligence

Artificial Unintelligence
Author: Meredith Broussard
Publisher: MIT Press
Total Pages: 247
Release: 2019-01-29
Genre: Computers
ISBN: 026253701X

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

Artificial Intelligence Supported Educational Technologies

Artificial Intelligence Supported Educational Technologies
Author: Niels Pinkwart
Publisher: Springer Nature
Total Pages: 299
Release: 2020-04-29
Genre: Education
ISBN: 3030410994

This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science. The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems, (3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters.

Artificial Intelligence as a Disruptive Technology

Artificial Intelligence as a Disruptive Technology
Author: Rosario Girasa
Publisher: Springer Nature
Total Pages: 339
Release: 2020-01-11
Genre: Social Science
ISBN: 3030359751

Artificial intelligence (AI) is the latest technological evolution which is transforming the global economy and is a major part of the “Fourth Industrial Revolution.” This book covers the meaning, types, subfields and applications of AI, including U.S. governmental policies and regulations, ethical and privacy issues, particularly as they pertain and affect facial recognition programs and the Internet-of Things (IoT). There is a lengthy analysis of bias, AI’s effect on the current and future job market, and how AI precipitated fake news. In addition, the text covers basics of intellectual property rights and how AI will transform their protection. The author then moves on to explore international initiatives from the European Union, China’s New Generation Development Plan, other regional areas, and international conventions. The book concludes with a discussion of super intelligence and the question and applicability of consciousness in machines. The interdisciplinary scope of the text will appeal to any scholars, students and general readers interested in the effects of AI on our society, particularly in the fields of STS, economics, law and politics.

Artificial Intelligence and Smart Agriculture Technology

Artificial Intelligence and Smart Agriculture Technology
Author: Utku Kose
Publisher: CRC Press
Total Pages: 291
Release: 2022-06-27
Genre: Computers
ISBN: 1000604373

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.

Bio-Inspired Artificial Intelligence

Bio-Inspired Artificial Intelligence
Author: Dario Floreano
Publisher: MIT Press
Total Pages: 674
Release: 2023-04-04
Genre: Computers
ISBN: 0262547732

A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities

Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities
Author: Francesco Corea
Publisher: Springer
Total Pages: 51
Release: 2017-01-11
Genre: Technology & Engineering
ISBN: 3319515500

Artificial Intelligence is a huge breakthrough technology that is changing our world. It requires some degrees of technical skills to be developed and understood, so in this book we are going to first of all define AI and categorize it with a non-technical language. We will explain how we reached this phase and what historically happened to artificial intelligence in the last century. Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed. Finally, we will describe the investment landscape, through the quite comprehensive study of almost 14,000 AI companies and we will discuss important features and characteristics of both AI investors as well as investments. This is the “Internet of Thinks” era. AI is revolutionizing the world we live in. It is augmenting the human experiences, and it targets to amplify human intelligence in a future not so distant from today. Although AI can change our lives, it comes also with some responsibilities. We need to start thinking about how to properly design an AI engine for specific purposes, as well as how to control it (and perhaps switch it off if needed). And above all, we need to start trusting our technology, and its ability to reach an effective and smart decision.