A Brief History Of Artificial Intelligence

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A Brief History of Artificial Intelligence

Author : Michael Wooldridge
Publisher : Flatiron Books
Page : 272 pages
File Size : 47,8 Mb
Release : 2021-01-19
Category : Computers
ISBN : 9781250770738


A Brief History of Artificial Intelligence Book in PDF, Epub and Kindle

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: Artificial Intelligence The somewhat ill-defined long-term aim of AI is to build machines that are conscious, self-aware, and sentient; machines capable of the kind of intelligent autonomous action that currently only people are capable of. As an AI researcher with 25 years of experience, professor Mike Wooldridge has learned to be obsessively cautious about such claims, while still promoting an intense optimism about the future of the field. There have been genuine scientific breakthroughs that have made AI systems possible in the past decade that the founders of the field would have hailed as miraculous. Driverless cars and automated translation tools are just two examples of AI technologies that have become a practical, everyday reality in the past few years, and which will have a huge impact on our world. While the dream of conscious machines remains, Professor Wooldridge believes, a distant prospect, the floodgates for AI have opened. Wooldridge's A Brief History of Artificial Intelligence is an exciting romp through the history of this groundbreaking field--a one-stop-shop for AI's past, present, and world-changing future.


Publisher : Unknown
Page : 0 pages
File Size : 55,5 Mb
Release : 2022
Category : Electronic
ISBN : 9781250770752



A Brief History of Artificial Intelligence

Author : Michael Wooldridge
Publisher : Flatiron Books
Page : 272 pages
File Size : 43,6 Mb
Release : 2021-01-19
Category : Computers
ISBN : 1250770742


A Brief History of Artificial Intelligence Book in PDF, Epub and Kindle

From the head of Oxford's Computer Science Department and one of the most cited AI researcher internationally comes Michael Wooldridge's A Brief History of Artificial Intelligence, a comprehensive and accessible tour through the history and future of science's most cutting-edge and misunderstood field: Artificial Intelligence...

Expertise at Work

Author : Marie-Line Germain,Robin S. Grenier
Publisher : Springer Nature
Page : 237 pages
File Size : 47,6 Mb
Release : 2021-03-12
Category : Business & Economics
ISBN : 9783030643713


Expertise at Work Book in PDF, Epub and Kindle

Expertise, which combines knowledge, years of experience in one domain, problem-solving skills, and behavioral traits, is a valuable resource for organizations. To understand the diverse picture of expertise in the workplace, this book offers scholars and scholar-practitioners a comprehensive assessment of the development of human expertise in organizations. Using contemporary perspectives across a broad range of domains, contributors offer readers various professional perspectives including veterans, education, sports, and information technology. The book also describes how researchers and practitioners can address practical problems related to the development, redevelopment, and sustainability of expertise. Finally, the book puts specific emphasis on the emerging trends in the study and practice of expertise in organizations, including the use of artificial intelligence.

Rebooting AI

Author : Gary Marcus,Ernest Davis
Publisher : Vintage
Page : 290 pages
File Size : 46,9 Mb
Release : 2020-08-25
Category : Computers
ISBN : 9780525566045


Rebooting AI Book in PDF, Epub and Kindle

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

The Myth of Artificial Intelligence

Author : Erik J. Larson
Publisher : Harvard University Press
Page : 321 pages
File Size : 44,6 Mb
Release : 2021-04-06
Category : Computers
ISBN : 9780674983519


The Myth of Artificial Intelligence Book in PDF, Epub and Kindle

“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.

Handbook of Research on Teaching With Virtual Environments and AI

Author : Panconesi, Gianni,Guida, Maria
Publisher : IGI Global
Page : 811 pages
File Size : 51,6 Mb
Release : 2021-02-19
Category : Education
ISBN : 9781799876397


Handbook of Research on Teaching With Virtual Environments and AI Book in PDF, Epub and Kindle

The increasingly pervasive use of digital technology has catapulted society into an interconnected world where the natural boundaries between humankind and machine, virtual and real, individual and community have become less perceptible. As individuals interact with different digital technologies, they must build a digital intelligence, which must be further cultivated as it is a key competency for the future of school and work. Digital intelligence includes understanding the mutual strengths between people and technology, as well as developing an awareness in the use of digital tools in order to avoid common threats such as cyberbullying, addiction to video games, techno-stress, and more. As adolescents continue to engage with virtual reality and 3D virtual worlds where the online and offline overlap and coincide, it is important to build this intelligence as well as utilize these technologies to promote successful learning. The Handbook of Research on Teaching With Virtual Environments and AI explores the new personalized educational opportunities that are available with digital technology and virtual environments that can be used within education. This book focuses on the use of these tools and how to navigate the use of new technologies such as AI and virtual environments for educational practices. While highlighting topics such as virtual worlds, game-based learning, intelligent tutoring, augmented reality, and more, this book is ideal for teachers, administrators, technologists, educational software developers, IT specialists, practitioners, researchers, academicians, and students interested in how virtual environments and AI are being implemented in teaching practices.

Artificial Intelligence for Big Data

Author : Anand Deshpande,Manish Kumar
Publisher : Packt Publishing Ltd
Page : 384 pages
File Size : 41,9 Mb
Release : 2018-05-22
Category : Computers
ISBN : 9781788476010


Artificial Intelligence for Big Data Book in PDF, Epub and Kindle

Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.


Author : Daniel Crevier
Publisher : Unknown
Page : 408 pages
File Size : 52,7 Mb
Release : 1993-05-18
Category : Computers
ISBN : UOM:39015031792255


Ai Book in PDF, Epub and Kindle

Traces the successes and failures of the group of scientists who began research on artificial intelligence, and offers ideas on what future research will achieve

Artificial Intelligence

Author : Jerry Kaplan
Publisher : Oxford University Press
Page : 193 pages
File Size : 40,6 Mb
Release : 2016
Category : Computers
ISBN : 9780190602383


Artificial Intelligence Book in PDF, Epub and Kindle

Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you.

The Cambridge Handbook of Artificial Intelligence

Author : Keith Frankish,William M. Ramsey
Publisher : Cambridge University Press
Page : 367 pages
File Size : 43,8 Mb
Release : 2014-06-12
Category : Computers
ISBN : 9780521871426


The Cambridge Handbook of Artificial Intelligence Book in PDF, Epub and Kindle

An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.

AI Narratives

Author : Stephen Cave,Kanta Dihal,Sarah Dillon
Publisher : Oxford University Press
Page : 448 pages
File Size : 45,5 Mb
Release : 2020-02-14
Category : Computers
ISBN : 9780192586049


AI Narratives Book in PDF, Epub and Kindle

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing pre-history of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first-centuries in which a greater density of narratives emerge alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI's social, ethical and philosophical consequences, including questions of dehumanization, automation, anthropomorphisation, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.

Artificial Intelligence: A Very Short Introduction

Author : Margaret A. Boden
Publisher : Oxford University Press
Page : 168 pages
File Size : 43,9 Mb
Release : 2018-08-16
Category : Computers
ISBN : 9780191080067


Artificial Intelligence: A Very Short Introduction Book in PDF, Epub and Kindle

The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. In this Very Short Introduction , Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

The Quest for Artificial Intelligence

Author : Nils J. Nilsson
Publisher : Cambridge University Press
Page : 128 pages
File Size : 45,8 Mb
Release : 2009-10-30
Category : Computers
ISBN : 9781139642828


The Quest for Artificial Intelligence Book in PDF, Epub and Kindle

Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.

A Brief History of Computing

Author : Gerard O'Regan
Publisher : Springer Science & Business Media
Page : 264 pages
File Size : 52,8 Mb
Release : 2012-03-05
Category : Computers
ISBN : 9781447123590


A Brief History of Computing Book in PDF, Epub and Kindle

This lively and fascinating text traces the key developments in computation – from 3000 B.C. to the present day – in an easy-to-follow and concise manner. Topics and features: ideal for self-study, offering many pedagogical features such as chapter-opening key topics, chapter introductions and summaries, exercises, and a glossary; presents detailed information on major figures in computing, such as Boole, Babbage, Shannon, Turing, Zuse and Von Neumann; reviews the history of software engineering and of programming languages, including syntax and semantics; discusses the progress of artificial intelligence, with extension to such key disciplines as philosophy, psychology, linguistics, neural networks and cybernetics; examines the impact on society of the introduction of the personal computer, the World Wide Web, and the development of mobile phone technology; follows the evolution of a number of major technology companies, including IBM, Microsoft and Apple.