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Artificial Intelligence: What Is Behind the Technology of the Future?
by Gerhard Paaß Dirk HeckerArtificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life – from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. The English translation of the book “Künstliche Intelligenz – Was steckt hinter der Technologie der Zukunft?” originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. Mathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future.
Artificial Intelligence: From Medieval Robots to Neural Networks (Union Square & Co. Illustrated Histories)
by Clifford A. Pickover“This is an addictive stroll through the annals of artificial intelligence, highlighting almost 100 innovations developed between 1300 BCE and 2018” (Booklist).From medieval robots and Boolean algebra to facial recognition, artificial neural networks, and adversarial patches, this fascinating history takes readers on a lively tour through the world of artificial intelligence. Award–winning author Clifford A. Pickover (The Math Book, The Physics Book, Death & the Afterlife) explores the historic and current applications of AI in such diverse fields as computing, medicine, popular culture, mythology, and philosophy, and considers the enduring threat to humanity should AI grow out of control. Across 100 illustrated entries, Pickover provides an entertaining and informative look into when artificial intelligence began, how it developed, where it’s going, and what it means for the future of human-machine interaction.“An enjoyable diversion to read cover to cover, follow along common strands, or dip into for random bits.” —Booklist
Artificial Intelligence
by David L. Poole Alan K. MackworthConstraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include configuration and design problems, planning and scheduling, temporal and spatial reasoning, defeasible and causal reasoning, machine vision and language understanding, qualitative and diagnostic reasoning, and expert systems. Constraint-Based Reasoning presents current work in the field at several levels: theory, algorithms, languages, applications, and hardware. Constraint-based reasoning has connections to a wide variety of fields, including formal logic, graph theory, relational databases, combinatorial algorithms, operations research, neural networks, truth maintenance, and logic programming. The ideal of describing a problem domain in natural, declarative terms and then letting general deductive mechanisms synthesize individual solutions has to some extent been realized, and even embodied, in programming languages. Contents :- Introduction, E. C. Freuder, A. K. Mackworth. - The Logic of Constraint Satisfaction, A. K. Mackworth. - Partial Constraint Satisfaction, E. C. Freuder, R. J. Wallace. - Constraint Reasoning Based on Interval Arithmetic: The Tolerance Propagation Approach, E. Hyvonen. - Constraint Satisfaction Using Constraint Logic Programming, P. Van Hentenryck, H. Simonis, M. Dincbas. - Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems, S. Minton, M. D. Johnston, A. B. Philips, and P. Laird. - Arc Consistency: Parallelism and Domain Dependence, P. R. Cooper, M. J. Swain. - Structure Identification in Relational Data, R. Dechter, J. Pearl. - Learning to Improve Constraint-Based Scheduling, M. Zweben, E. Davis, B. Daun, E. Drascher, M. Deale, M. Eskey. - Reasoning about Qualitative Temporal Information, P. van Beek. - A Geometric Constraint Engine, G. A. Kramer. - A Theory of Conflict Resolution in Planning, Q. Yang. A Bradford Book.
Artificial Intelligence: Applications and Innovations (Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series)
by Rashmi Priyadarshini, R M Mehra, Amit Sehgal and Prabhu Jyot SinghArtificial Intelligence: Applications and Innovations is a book about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. This book provides a valuable resource for researchers, scientists, professionals, academicians and students dealing with the new challenges and advances in the areas of AI and innovations. This book also covers a wide range of applications of machine learning such as fire detection, structural health and pollution monitoring and control. Key Features Provides insight into prospective research and application areas related to industry and technology Discusses industry- based inputs on success stories of technology adoption Discusses technology applications from a research perspective in the field of AI Provides a hands- on approach and case studies for readers of the book to practice and assimilate learning This book is primarily aimed at graduates and post- graduates in computer science, information technology, civil engineering, electronics and electrical engineering and management.
Artificial Intelligence: Applications in Healthcare Delivery
by Sandeep ReddyThe rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.
Artificial Intelligence: 10 Things You Should Know (10 Things You Should Know)
by Professor Tim Rocktäschel"An excellent, extremely up-to-date overview of the most important technological revolution in human history." - Prof. Jeff Clune, University of British Columbia"If I were to recommend one book on AI, this would be it!" - Dr Edward Hughes, LSE & Google DeepMindExplore humanity's most transformative technology: artificial intelligence...In ten short and informative essays, Professor of AI at University College London, Tim Rocktäschel, reveals everything we need to know about artificial intelligence. From what the futures holds for AI and why it continues to improve with more data, to how superhuman AI is attainable and why we still have to fold our own laundry, discover all of this and much, much more!Artificial Intelligence: 10 Things You Should Know is an illuminating and engaging guide to the most important area of science and technology today.
Artificial Intelligence: 10 Things You Should Know (10 Things You Should Know)
by Professor Tim Rocktäschel"An excellent, extremely up-to-date overview of the most important technological revolution in human history." - Prof. Jeff Clune, University of British Columbia"If I were to recommend one book on AI, this would be it!" - Dr Edward Hughes, LSE & Google DeepMindExplore humanity's most transformative technology: artificial intelligence...In ten short and informative essays, Professor of AI at University College London, Tim Rocktäschel, reveals everything we need to know about artificial intelligence. From what the futures holds for AI and why it continues to improve with more data, to how superhuman AI is attainable and why we still have to fold our own laundry, discover all of this and much, much more!Artificial Intelligence: 10 Things You Should Know is an illuminating and engaging guide to the most important area of science and technology today.
Artificial Intelligence: 10 Things You Should Know (10 Things You Should Know)
by Professor Tim Rocktäschel"An excellent, extremely up-to-date overview of the most important technological revolution in human history." - Prof. Jeff Clune, University of British Columbia"If I were to recommend one book on AI, this would be it!" - Dr Edward Hughes, LSE & Google DeepMindExplore humanity's most transformative technology: artificial intelligence...In ten short and informative essays, Professor of AI at University College London, Tim Rocktäschel, reveals everything we need to know about artificial intelligence. From what the futures holds for AI and why it continues to improve with more data, to how superhuman AI is attainable and why we still have to fold our own laundry, discover all of this and much, much more!Artificial Intelligence: 10 Things You Should Know is an illuminating and engaging guide to the most important area of science and technology today.
Artificial Intelligence: A Modern Approach
by Stuart Russell Peter NorvigArtificial Intelligence: A Modern Approach (AIMA) is a university textbook on artificial intelligence, written by Stuart J. Russell and Peter Norvig. It was first published in 1995 and the fourth edition of the book was released 28 April 2020. It is used in over 1400 universities worldwide and has been called "the most popular artificial intelligence textbook in the world". It is considered the standard text in the field of artificial intelligence. The book is intended for an undergraduate audience but can also be used for graduate-level studies with the suggestion of adding some of the primary sources listed in the extensive bibliography.
Artificial Intelligence: Recent Trends and Applications (Artificial Intelligence (AI): Elementary to Advanced Practices)
by S. Kanimozhi Suguna, M. Dhivya, and Sara PaivaThis book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions. The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications. The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology.
Artificial Intelligence: First International Conference, ICAITA 2022, Mascara, Algeria, November 7–8, 2022, Revised Selected Papers (Communications in Computer and Information Science #1769)
by Mohammed Salem Juan Julián Merelo Patrick Siarry Rochdi Bachir Bouiadjra Mohamed Debakla Fatima DebbatThis volume constitutes selected papers presented at the First International Conference on Artificial Intelligence: Theories and Applications, ICAITA 2022, held in Mascara, Algeria, in November 2022. The 23 papers were thoroughly reviewed and selected from the 66 qualified submissions. They are organized in topical sections on artificial vision; and articial intelligence in big data and natural language processing.
Artificial Intelligence: Evolution, Ethics and Public Policy
by Saswat Sarangi Pankaj SharmaWhat will the future be? A dystopian landscape controlled by machines or a brave new world full of possibilities? Perhaps the answer lies with Artificial Intelligence (AI)—a phenomenon much beyond technology that has, continues to, and will shape lives in ways we do not understand yet. This book traces the evolution of AI in contemporary history. It analyses how AI is primarily being driven by "capital" as the only "factor of production" and its consequences for the global political economy. It further explores the dystopian prospect of mass unemployment by AI and takes up the ethical aspects of AI and its possible use in undermining natural and fundamental rights. A tract for the times, this volume will be a major intervention in an area that is heavily debated but rarely understood. It will be essential reading for researchers and students of digital humanities, politics, economics, science and technology studies, physics, and computer science. It will also be key reading for policy makers, cyber experts and bureaucrats.
Artificial Intelligence: Proceedings of AITA 2023, Volume 2 (Lecture Notes in Networks and Systems #844)
by Harish Sharma Antorweep Chakravorty Shahid Hussain Rajani KumariThis book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
Artificial Intelligence: Technologies, Applications, and Challenges
by Lavanya Sharma Pradeep Kumar GargArtificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas. Using a series of present and future applications, such as indoor-outdoor securities, graphic signal processing, robotic surgery, image processing, character recognition, augmented reality, object detection and tracking, intelligent traffic monitoring, emergency department medical imaging, and many more, this publication will support readers to get deeper knowledge and implementing the tools of Artificial Intelligence. The book offers comprehensive coverage of the most essential topics, including: Rise of the machines and communications to IoT (3G, 5G). Tools and Technologies of Artificial Intelligence Real-time applications of artificial intelligence using machine learning and deep learning. Challenging Issues and Novel Solutions for realistic applications Mining and tracking of motion based object data image processing and analysis into the unified framework to understand both IoT and Artificial Intelligence-based applications. This book will be an ideal resource for IT professionals, researchers, under or post-graduate students, practitioners, and technology developers who are interested in gaining insight to the Artificial Intelligence with deep learning, IoT and machine learning, critical applications domains, technologies, and solutions to handle relevant challenges.
Artificial Intelligence: First International Symposium, ISAI 2022, Haldia, India, February 17-22, 2022, Revised Selected Papers (Communications in Computer and Information Science #1695)
by Arif Ahmed Sk Turki Turki Tarun Kumar Ghosh Subhankar Joardar Subhabrata BarmanThis book constitutes the refereed proceedings of the First International Symposium on Artificial Intelligence, ISAI 2022, held in Haldia, India, during February 17-22, 2022. The 30 full papers included in this book were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: information systems, mathematics and data analyses; and applied artificial intelligence..
Artificial Intelligence: Research Directions in Cognitive Science: European Perspectives Vol. 5 (Psychology Revivals)
by D. Sleeman N. O. BernsenOriginally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major application area of AI. This volume was an attempt primarily to inform fellow AI workers of recent European work in AI. It was hoped that researchers in ‘sister’ disciplines, such as computer science and linguistics would gain a deeper understanding of the assumptions, techniques and tools of contemporary AI.
Artificial Intelligence: A National Strategic Initiative
by Tencent Research Institute Caict Tencent Ai Lab Tencent Open PlatformThis book begins with the past and present of the subversive technology of artificial intelligence, clearly analyzes the overall picture, latest developments and development trends of the artificial intelligence industry, and conducts in-depth research on the competitive situation of various countries. The book also provides an in-depth analysis of the opportunities and challenges that artificial intelligence brings to individuals, businesses, and society. For readers who want to fully understand artificial intelligence, this book provides an important reference and is a must-read.
Artificial Intelligence: First International Conference, AI4S 2023, Pune, India, September 4-5, 2023, Proceedings (Communications in Computer and Information Science #1907)
by Sanju Tiwari Fernando Ortiz-Rodríguez Sashikala Mishra Edlira Vakaj Ketan KotechaThis book constitutes the proceedings of the First International Conference, AI4S 2023, held in Pune, India, during September 4-5, 2023.The 14 full papers and the 2 short papers included in this volume were carefully reviewed and selected from 72 submissions. This volume aims to open discussion on trustworthy AI and related topics, trying to bring the most up to date developments around the world from researchers and practitioners.
Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8-9, 2017, Revised Selected Papers (Communications In Computer And Information Science #823)
by Bart Verheij Marco WieringThis book contains a selection of the best papers of the 29th Benelux Conference on Artificial Intelligence, BNAIC 2017, held in Groningen, The Netherlands, in November 2017. <p><p> The 11 full papers presented in this volume were carefully reviewed and selected from 30 submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.
Artificial Intelligence: The Basics (The Basics)
by Kevin Warwick'if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. Topics covered include: how intelligence can be defined whether machines can 'think' sensory input in machine systems the nature of consciousness the controversial culturing of human neurons. Exploring issues at the heart of the subject, this book is suitable for anyone interested in AI, and provides an illuminating and accessible introduction to this fascinating subject.
Artificial Intelligence: A Beginner's Guide (Beginner's Guides)
by Blay WhitbyTomorrow begins right here as we embark on an enthralling and jargon-free journey into the world of computers and the inner recesses of the human mind. Readers encounter everything from the nanotechnology used to make insect-like robots, to computers that perform surgery, in addition to discovering the biggest controversies to dog the field of AI. Blay Whitby is a Lecturer on Cognitive Science and Artificial Intelligence at the University of Sussex UK. He is the author of two books and numerous papers.
Artificial Intelligence: Everything you need to know about the coming AI. A Ladybird Expert Book (The Ladybird Expert Series #27)
by Michael Wooldridge'I propose to consider the question, 'Can machines think?' Alan Turing (1950)Part of the ALL-NEW Ladybird Expert series.This book is for everyone living in the age of Artificial Intelligence. And this is an accessible and authoritative introduction to one of the most important conversations of our time . . . Written by computer scientist Michael Wooldridge, Artificial Intelligence chronicles the development of intelligent machines, from Turing's dream of machines that think, to today's digital assistants like Siri and Alexa. AI is not something that awaits us in the future. Inside you'll learn how we have come to rely on embedded AI software and what a world of ubiquitous AI might look like.What's inside?- The British mathematician Alan Turing- Can machines 'understand'?- Logical and Behavioural AI- The reality of AI today- AI tomorrow- And much more . . . For an adult readership, the Ladybird Expert series is produced in the same iconic small hardback format pioneered by the original Ladybirds. Each beautifully illustrated book features the first new illustrations produced in the original Ladybird style for nearly forty years.
Artificial Intelligence: First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5–6, 2021, Proceedings, Part I (Lecture Notes in Computer Science #13069)
by Guangtao Zhai Jane Wang Yiran Chen Lu Fang Ruiping Wang Weisheng DongThis two-volume set LNCS 13069-13070 constitutes selected papers presented at the First CAAI International Conference on Artificial Intelligence, held in Hangzhou, China, in June 2021. Due to the COVID-19 pandemic the conference was partially held online. The 105 papers were thoroughly reviewed and selected from 307 qualified submissions. The papers are organized in topical sections on applications of AI; computer vision; data mining; explainability, understandability, and verifiability of AI; machine learning; natural language processing; robotics; and other AI related topics.
Artificial Intelligence: First CCF International Conference, ICAI 2018, Jinan, China, August 9-10, 2018, Proceedings (Communications in Computer and Information Science #888)
by Zhi-Hua Zhou Qiang Yang Yang Gao Yu ZhengThis book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018. The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised learning, graph-based and semi-supervised learning, neural networks and deep learning, planning and optimization, AI applications.
Artificial Intelligence (2nd edition)
by Patrick H. WinstonThis is an eagerly awaited revision of the single bestselling introduction to Artificial Intelligence ever published. It retains the best features of the earlier works including superior readability, currency, and excellence in the selection of the examples.