Artificial Intelligence

Artificial Intelligence
Author: Melanie Mitchell
Publsiher: Pelican
Total Pages: 448
Release: 2020-09-24
ISBN 10: 9780241404836
ISBN 13: 0241404835
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Review:

No recent scientific enterprise has been so alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. How intelligent are the best of today's AI programs? To what extent can we entrust them with decisions that affect our lives? How human-like do we expect them to become, and how soon do we need to worry about them surpassing us in most, if not all, human endeavours? From leading AI researcher and award-winning author Melanie Mitchell comes a knowledgeable and captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humor, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI requires such elusive human qualities in order to be reliable, trustworthy and beneficial. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible, entertaining, and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go, and what it means for all of our futures.

Artificial Intelligence

Artificial Intelligence
Author: Max Bramer
Publsiher: Springer Science & Business Media
Total Pages: 247
Release: 2009-08-04
ISBN 10: 3642032257
ISBN 13: 9783642032257
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Review:

Featuring the viewpoint of expert members of the IFIP Technical Committee 12, its Working Groups and their colleagues, this book provides an international perspective on recent and future directions in this significant field.

Responsible Artificial Intelligence

Responsible Artificial Intelligence
Author: Virginia Dignum
Publsiher: Springer Nature
Total Pages: 127
Release: 2019-11-04
ISBN 10: 3030303713
ISBN 13: 9783030303716
Language: EN, FR, DE, ES & NL

Responsible Artificial Intelligence Book Review:

In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.

A Citizen s Guide to Artificial Intelligence

A Citizen s Guide to Artificial Intelligence
Author: John Zerilli,John Danaher,James Maclaurin,Colin Gavaghan
Publsiher: Unknown
Total Pages: 232
Release: 2021-02-23
ISBN 10: 0262044811
ISBN 13: 9780262044813
Language: EN, FR, DE, ES & NL

A Citizen s Guide to Artificial Intelligence Book Review:

"An accessible overview of the threats and opportunities inherent in automated decision making in academia, government, and industry"--

The Promise of Artificial Intelligence

The Promise of Artificial Intelligence
Author: Brian Cantwell Smith
Publsiher: MIT Press
Total Pages: 184
Release: 2019-10-08
ISBN 10: 0262043041
ISBN 13: 9780262043045
Language: EN, FR, DE, ES & NL

The Promise of Artificial Intelligence Book Review:

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence
Author: Wolfgang Ertel
Publsiher: Springer
Total Pages: 356
Release: 2018-01-29
ISBN 10: 9783319584867
ISBN 13: 3319584863
Language: EN, FR, DE, ES & NL

Introduction to Artificial Intelligence Book Review:

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW). Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.

Artificial Intelligence in Practice

Artificial Intelligence in Practice
Author: Bernard Marr
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2019-04-15
ISBN 10: 1119548985
ISBN 13: 9781119548980
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Practice Book Review:

Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Artificial Intelligence

Artificial Intelligence
Author: David L. Poole,Alan K. Mackworth
Publsiher: Cambridge University Press
Total Pages: 820
Release: 2017-09-25
ISBN 10: 110719539X
ISBN 13: 9781107195394
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Review:

Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Artificial Intelligence

Artificial Intelligence
Author: Stuart J. Russell,Stuart Jonathan Russell,Peter Norvig,Ernest Davis
Publsiher: Prentice Hall
Total Pages: 1132
Release: 2010
ISBN 10: 0136042597
ISBN 13: 9780136042594
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Review:

Artificial intelligence: A Modern Approach, 3e,is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. It is also a valuable resource for computer professionals, linguists, and cognitive scientists interested in artificial intelligence. The revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence
Author: Mariusz Flasiński
Publsiher: Springer
Total Pages: 321
Release: 2016-08-31
ISBN 10: 3319400223
ISBN 13: 9783319400228
Language: EN, FR, DE, ES & NL

Introduction to Artificial Intelligence Book Review:

In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers. The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.

Artificial Intelligence for Business

Artificial Intelligence for Business
Author: Jason L. Anderson,Jeffrey L. Coveyduc
Publsiher: John Wiley & Sons
Total Pages: 240
Release: 2020-04-21
ISBN 10: 1119651735
ISBN 13: 9781119651734
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Business Book Review:

Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist. With data in hand, a scoped prototype can be built to limit risk and provide tangible value to the organization as a whole to justify further investment. Finally, a production level AI system can be developed with best practices to ensure quality with not only the application code, but also the AI models. Finally, with this particular AI adoption journey at an end, the authors will show that there is additional value to be gained by iterating on this AI adoption lifecycle and improving other parts of the organization.

Prolog Programming for Artificial Intelligence

Prolog Programming for Artificial Intelligence
Author: Ivan Bratko
Publsiher: Addison-Wesley Professional
Total Pages: 673
Release: 2011
ISBN 10: 9780321417466
ISBN 13: 0321417461
Language: EN, FR, DE, ES & NL

Prolog Programming for Artificial Intelligence Book Review:

The fourth edition of this best-selling guide to Prolog and Artificial Intelligence has been updated to include key developments in the field while retaining its lucid approach to these topics. New and extended topics include Constraint Logic Programming, abductive reasoning and partial order planning. Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques. This textbook is meant to teach Prolog as a practical programming tool and so it concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems. The fourth edition has been fully revised and extended to provide an even greater range of applications, making it a self-contained guide to Prolog, AI or AI Programming for students and professional programmers.

Artificial Intelligence

Artificial Intelligence
Author: Nils J. Nilsson
Publsiher: Morgan Kaufmann
Total Pages: 513
Release: 1998
ISBN 10: 1558605355
ISBN 13: 9781558605350
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Review:

This new book, by one of the most respected researchers in Artificial Intelligence, features a radical new 'evolutionary' organization that begins with low level intelligent behavior and develops complex intelligence as the book progresses.

A Brief History of Artificial Intelligence

A Brief History of Artificial Intelligence
Author: Michael Wooldridge
Publsiher: Flatiron Books
Total Pages: 272
Release: 2021-01-19
ISBN 10: 1250770734
ISBN 13: 9781250770738
Language: EN, FR, DE, ES & NL

A Brief History of Artificial Intelligence Book Review:

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.

Artificial Intelligence and Human Institutions

Artificial Intelligence and Human Institutions
Author: John Richard Ennals,Richard Ennals
Publsiher: Springer
Total Pages: 181
Release: 1991
ISBN 10:
ISBN 13: UCAL:B4495257
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Human Institutions Book Review:

Artificial Intelligence and Human Institutions argues that successful applications of artificial intelligence are possible only within an understanding of human institutions and the limitations of technology. Products of artificial intelligence research are becoming widely available to non-specialists using low-cost computer systems, but there has been a lack of communication between re- searchers and community groups. Taking the "weak AI" position, the book explores the way insights and tools from artificial intelligence can be valuable in coming to terms with real world problems. Drawing on the author's extensive practical experience in AI research and research management, the book brings together case studies from the fields of education, training, business, engineering, defence, health, and community work, and suggests future directions. This book deals with advanced concepts of artificial intelligence for non-specialist readers, while providing an introduction to state-of-the-art developments. It seeks to use AI concepts to illuminate the practical and theoretical concerns of institutions and organisations, opening up possibilities for new areas of collaborative work, and revealing new sources of references and ideas. This is the latest title in the Artificial Intelligence and Society series and will be of interest to lecturers and students in AI, education, social and political sciences, and business studies.

Artificial Intelligence for Games

Artificial Intelligence for Games
Author: Ian Millington,John Funge
Publsiher: CRC Press
Total Pages: 872
Release: 2009-08-06
ISBN 10: 0123747317
ISBN 13: 9780123747310
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Games Book Review:

Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques. "Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games).

Artificial Intelligence

Artificial Intelligence
Author: Richard E. Neapolitan,Xia Jiang
Publsiher: CRC Press
Total Pages: 466
Release: 2018-03-12
ISBN 10: 1351384384
ISBN 13: 9781351384384
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Review:

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.

Artificial Intelligence and the Two Singularities

Artificial Intelligence and the Two Singularities
Author: Calum Chace
Publsiher: CRC Press
Total Pages: 376
Release: 2018-04-20
ISBN 10: 1351254448
ISBN 13: 9781351254441
Language: EN, FR, DE, ES & NL

Artificial Intelligence and the Two Singularities Book Review:

The science of AI was born a little over 60 years ago, but for most of that time its achievements were modest. In 2012 it experienced a big bang, when a branch of statistics called Machine Learning (and a sub-branch called Deep Learning) was applied to it. Now machines have surpassed humans in image recognition, and they are catching up with us at speech recognition and natural language processing. Every day, the media reports the launch of a new service, a new product, and a new demonstration powered by AI. When will it end? The surprising truth is, the AI revolution has only just begun. Artificial Intelligence and the Two Singularities argues that in the course of this century, the exponential growth in the capability of AI is likely to bring about two "singularities" - points at which conditions are so extreme that the normal rules break down. The first is the economic singularity, when machine skill reaches a level that renders many of us unemployable and requires an overhaul of our current economic and social systems. The second is the technological singularity, when machine intelligence reaches and then surpasses the cognitive abilities of an adult human, relegating us to the second smartest species on the planet. These singularities will present huge challenges, but this book argues that we can meet these challenges and overcome them. If we do, the rewards could be almost unimaginable. This book covers: • Recent developments in AI and its future potential • The economic singularity and the technological singularity in depth • The risks and opportunities presented by AI • What actions we should take Artificial intelligence can turn out to be the best thing ever to happen to humanity, making our future wonderful almost beyond imagination. But only if we address head-on the challenges that it will raise. Calum Chace is a best-selling author of fiction and non-fiction books and articles, focusing on the subject of artificial intelligence. He is a regular speaker on artificial intelligence and related technologies, and runs a blog on the subject at www.pandoras-brain. com. Prior to becoming a full-time writer and speaker, he spent 30 years in business as a marketer, a strategy consultant, and a CEO. He studied philosophy at Oxford University, where he discovered that the science fiction he had been reading since boyhood was simply philosophy in fancy dress.

Our Final Invention

Our Final Invention
Author: James Barrat
Publsiher: St. Martin's Griffin
Total Pages: 336
Release: 2015-02-17
ISBN 10: 9781250058782
ISBN 13: 1250058783
Language: EN, FR, DE, ES & NL

Our Final Invention Book Review:

A Huffington Post Definitive Tech Book of 2013 In as little as a decade, artificial intelligence could match and then surpass human intelligence. Corporations and government agencies around the world are pouring billions into achieving AI's Holy Grail--human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful, and more alien than we can imagine. Through profiles of tech visionaries, industry watchdogs, and groundbreaking AI systems, James Barrat's Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?

Hands On Artificial Intelligence for Cybersecurity

Hands On Artificial Intelligence for Cybersecurity
Author: Alessandro Parisi
Publsiher: Packt Publishing Ltd
Total Pages: 342
Release: 2019-08-02
ISBN 10: 1789805171
ISBN 13: 9781789805178
Language: EN, FR, DE, ES & NL

Hands On Artificial Intelligence for Cybersecurity Book Review:

Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key Features Identify and predict security threats using artificial intelligence Develop intelligent systems that can detect unusual and suspicious patterns and attacks Learn how to test the effectiveness of your AI cybersecurity algorithms and tools Book Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learn Detect email threats such as spamming and phishing using AI Categorize APT, zero-days, and polymorphic malware samples Overcome antivirus limits in threat detection Predict network intrusions and detect anomalies with machine learning Verify the strength of biometric authentication procedures with deep learning Evaluate cybersecurity strategies and learn how you can improve them Who this book is for If you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.