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Artificial Intelligence and Global Security

Artificial Intelligence and Global Security PDF Author: Yvonne R. Masakowski
Publisher: Emerald Group Publishing
ISBN: 1789738113
Category : Computers
Languages : en
Pages : 216

Book Description
Artificial Intelligence and Global Security: Future Trends, Threats and Considerations brings a much-needed perspective on the impact of the integration of Artificial Intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare.

Artificial Intelligence and Global Security

Artificial Intelligence and Global Security PDF Author: Yvonne R. Masakowski
Publisher: Emerald Group Publishing
ISBN: 1789738113
Category : Computers
Languages : en
Pages : 216

Book Description
Artificial Intelligence and Global Security: Future Trends, Threats and Considerations brings a much-needed perspective on the impact of the integration of Artificial Intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare.

WIPO Technology Trends 2019 - Artificial Intelligence

WIPO Technology Trends 2019 - Artificial Intelligence PDF Author: World Intellectual Property Organization
Publisher: WIPO
ISBN: 9280530070
Category : Law
Languages : en
Pages : 156

Book Description
The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.

Artificial Intelligent Future Development Trend Prediction

Artificial Intelligent Future Development Trend Prediction PDF Author: Johnny Ch LOK
Publisher:
ISBN: 9781718150614
Category :
Languages : en
Pages : 461

Book Description
Second part, I shall explain how future (AI) technology can be applied to business and health service aspect. The research questions: Can AI grow productivity? If AI can grow productivity, how can it raise ? If productivity raised, can it raise economic development ? How will (AI) influence human job change? Advances in artificial intelligence (AI) technology is for the progress in critical areas, such as health, education, energy, economy inclusion, social welfare and the environment. Thus, it brings this question: Which (AI) workers be instead of traditional human workers in these different new markets? In recent years, machines had been used to be human's tasks in the performance of certain tasks related to intelligence , such as aspects of image recognition. Experts also forecast that rapid progress in the field of specialized artificial intelligence will continue. Then, it also brings this question: Does (AI) exceed that of human performance on more and more tasks? If it is truth, will some of human jobs to be disappeared? (AI) will be instead of human some simple jobs, then unemployment rate to the low skillful and low educated workers will be increased. Whether (AI) will be raised either production or performance or unemployment to bring human job market more advantages or more disadvantages? In my this book, I shall explain whether (AI) will bring benefits or disadvantages to change to future human job market. If one day, (AI) technology can be applied to any human job aspects. Whether human will face unemployment disadvantages or human won't face unemployment disadvantages. Whether (AI) technology will be applied to assist to future human job to raise productivities or economic growth to any societies or improve performance for any employers' benefits and workers' benefits. This book will have explanation to let readers to feel whether how future (AI) technological innovation will bring benefits or disadvantages to influence human's job market in future one day global job market influence.This part concerns to be given my opinions to explain whether artificial intelligent technology will impact our life and will influence economic development in the future, due to productivity raises.In chapter twelve, I shall explain what the (AI) functions are benefited to human and I shall indicate whether how it can impact human job nature to raise productivity or not. I shall explain whether (AI) can influence to change to human job market to be better or worse in future global labor market in order to raise productivity in possible.

AI 2041

AI 2041 PDF Author: Kai-Fu Lee
Publisher: Crown Currency
ISBN: 0593238311
Category : Social Science
Languages : en
Pages : 497

Book Description
How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. Named a best book of the year by The Wall Street Journal • The Washington Post • Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.

The Work of the Future

The Work of the Future PDF Author: David H. Autor
Publisher: MIT Press
ISBN: 0262547309
Category : Business & Economics
Languages : en
Pages : 189

Book Description
Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. Building on findings from the multiyear MIT Task Force on the Work of the Future, the book argues that we must foster institutional innovations that complement technological change. Skills programs that emphasize work-based and hybrid learning (in person and online), for example, empower workers to become and remain productive in a continuously evolving workplace. Industries fueled by new technology that augments workers can supply good jobs, and federal investment in R&D can help make these industries worker-friendly. We must act to ensure that the labor market of the future offers benefits, opportunity, and a measure of economic security to all.

Funding a Revolution

Funding a Revolution PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309062780
Category : Computers
Languages : en
Pages : 300

Book Description
The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.

AI Superpowers

AI Superpowers PDF Author: Kai-Fu Lee
Publisher: Houghton Mifflin
ISBN: 132854639X
Category : Business & Economics
Languages : en
Pages : 275

Book Description
Introduction -- China's Sputnik moment -- Copycats in the Coliseum -- China's alternate Internet universe -- A tale of two countries -- The four waves of AI -- Utopia, dystopia, and the real AI crisis -- The wisdom of cancer -- A blueprint for human co-existence with AI -- Our global AI story

Artificial Intelligence Future Development Trend

Artificial Intelligence Future Development Trend PDF Author: Johnny Ch LOK
Publisher:
ISBN:
Category :
Languages : en
Pages : 338

Book Description
3Artificia intelligent future education market developmentArtificial intelligent robots inventionnegative impactsIndeed, artificial intelligence, computing can learn to something that effectively reasons, thinks, if (AI) learns more powerful and valuable complement to human capabilities; improving medical diaguoses, weather prediction, supply-chain management, transportation and even personal choices about where to go on vacation or what to buy, how to learn teaching any subjects knowledge to assist school teachers to teach students, e.g. accounting, law, architecture, language etc. subjects knowledge It can bring benefits to human it (AI) robots can learn teacher's any subjects to teach students or skillful knowledge, e.g. driving, taking care old people at home, manufacturing vehicles in factories. Otherwise, if (AI) robots learn how to be applied to be weapons to attack enemy. It will bring harm to human's life safety. As a result, technology can assist human's development when it can be applied to do meaning jobs, but it can also damage human's development when it can be applied to do harmful human's behaviour, e.g. attacking enemy to cause robot technological war. Consequently, the negactive impact will be depending on how humans teach (AI) robots to learn when some humans intends to teach (AI) robots to attack enemy. Thus, scientists need to know to educate (AI) robots to learn positive knowledge to attribute to us to raise our standard of living, if it is a tool in the service of humans, making our lives better. Otherwise, who ought not educate (AI) robots to learn negative knowledge to attribute to influence our's life safety when they are applied to attack enemies.However, some scientists believe (AI) robots will have negative impact to influence our economy and society. Such as (AI) robots will destroy most jobs, it will make humans foolish, due to humans depend on (AI) robots to assist us to do any jobs; it will destroy people's privacy and it will enable bias and abuse and it will eventally exterminate humanity. Hence, when time comes to develop computers really think, intelligence is the same things as consciousness, the brain is a computer. Then, scientists must have responsibilities to concern how to teach (AI) robots to learn useful or attributable human's knowledge, not harmful human's knowledge to avoid future invented (AI) robots are taught to learn how to attack ourselves.2.12.4Future AI tutoring system potentialdevelopment marketHumans can learn (AI) robots how to educate our next generation after it has be taught any knowledge from human. Thus, it brings this question: How can human teach new knowledge to (AI) robots to learn successfully? I shall indicate some scientists' evidences to explain that it is possible (AI) robots had abilities to learn human's mind, judgement and analytical abilities, reading, writing, speaking abilities in future one day absolutely. I shall indicate what is intelligent tutoring systems (ITS) example as below:When are computer-based tutors which act as a supplement to human teachers. The major advantage of an (ITS) is, it can provide personalized instructions to students according to their cognitive abilities. In this scenario, an intelligent tutoring system can be quite relevant to solve unavailability of skilled teachers challenges. Such as India has many students who demend teachers to learn to them, but India is facing skilled teachers shortage challenge. (ITS) are computer-based tutors, which act as a supplement to human teachers. An intelligent tutoring system is educational software containing an artificial intelligence component. The software tracks students work, tailoring feedback and hints along the way. By contenting information on a particular student's performance, the software can make interences about strengths and weaknesses, and can suggest addition work.

The Smart Cyber Ecosystem for Sustainable Development

The Smart Cyber Ecosystem for Sustainable Development PDF Author: Pardeep Kumar
Publisher: John Wiley & Sons
ISBN: 1119761662
Category : Technology & Engineering
Languages : en
Pages : 484

Book Description
The Smart Cyber Ecosystem for Sustainable Development As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained. The cyber ecosystem consists of a huge number of different entities that work and interact with each other in a highly diversified manner. In this era, when the world is surrounded by many unseen challenges and when its population is increasing and resources are decreasing, scientists, researchers, academicians, industrialists, government agencies and other stakeholders are looking toward smart and intelligent cyber systems that can guarantee sustainable development for a better and healthier ecosystem. The main actors of this cyber ecosystem include the Internet of Things (IoT), artificial intelligence (AI), and the mechanisms providing cybersecurity. This book attempts to collect and publish innovative ideas, emerging trends, implementation experiences, and pertinent user cases for the purpose of serving mankind and societies with sustainable societal development. The 22 chapters of the book are divided into three sections: Section I deals with the Internet of Things, Section II focuses on artificial intelligence and especially its applications in healthcare, whereas Section III investigates the different cyber security mechanisms. Audience This book will attract researchers and graduate students working in the areas of artificial intelligence, blockchain, Internet of Things, information technology, as well as industrialists, practitioners, technology developers, entrepreneurs, and professionals who are interested in exploring, designing and implementing these technologies.

Deploying Machine Learning

Deploying Machine Learning PDF Author: Robbie Allen
Publisher: Addison-Wesley Professional
ISBN: 9780135226209
Category : Computers
Languages : en
Pages : 99998

Book Description
Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.