Nascent Applications Of Bio Inspired Artificial Intelligence For Creative Game Design And Optimization

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Bio-Inspired Artificial Intelligence

Author : Dario Floreano
Publisher : MIT Press
ISBN 13 : 0262547732
Total Pages : 674 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Bio-Inspired Artificial Intelligence by : Dario Floreano

Download or read book Bio-Inspired Artificial Intelligence written by Dario Floreano and published by MIT Press. This book was released on 2023-04-04 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Encyclopedia of Information Science and Technology

Author : Mehdi Khosrow-Pour
Publisher : IGI Global Snippet
ISBN 13 : 9781605660264
Total Pages : 4292 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Encyclopedia of Information Science and Technology by : Mehdi Khosrow-Pour

Download or read book Encyclopedia of Information Science and Technology written by Mehdi Khosrow-Pour and published by IGI Global Snippet. This book was released on 2009 with total page 4292 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.

The Democratization of Artificial Intelligence

Author : Andreas Sudmann
Publisher : transcript Verlag
ISBN 13 : 3839447194
Total Pages : 335 pages
Book Rating : 4.8/5 (394 download)

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Book Synopsis The Democratization of Artificial Intelligence by : Andreas Sudmann

Download or read book The Democratization of Artificial Intelligence written by Andreas Sudmann and published by transcript Verlag. This book was released on 2019-10-31 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?

Rules of Play

Author : Katie Salen Tekinbas
Publisher : MIT Press
ISBN 13 : 9780262240451
Total Pages : 680 pages
Book Rating : 4.2/5 (44 download)

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Book Synopsis Rules of Play by : Katie Salen Tekinbas

Download or read book Rules of Play written by Katie Salen Tekinbas and published by MIT Press. This book was released on 2003-09-25 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: An impassioned look at games and game design that offers the most ambitious framework for understanding them to date. As pop culture, games are as important as film or television—but game design has yet to develop a theoretical framework or critical vocabulary. In Rules of Play Katie Salen and Eric Zimmerman present a much-needed primer for this emerging field. They offer a unified model for looking at all kinds of games, from board games and sports to computer and video games. As active participants in game culture, the authors have written Rules of Play as a catalyst for innovation, filled with new concepts, strategies, and methodologies for creating and understanding games. Building an aesthetics of interactive systems, Salen and Zimmerman define core concepts like "play," "design," and "interactivity." They look at games through a series of eighteen "game design schemas," or conceptual frameworks, including games as systems of emergence and information, as contexts for social play, as a storytelling medium, and as sites of cultural resistance. Written for game scholars, game developers, and interactive designers, Rules of Play is a textbook, reference book, and theoretical guide. It is the first comprehensive attempt to establish a solid theoretical framework for the emerging discipline of game design.

The Quest for Artificial Intelligence

Author : Nils J. Nilsson
Publisher : Cambridge University Press
ISBN 13 : 1139642820
Total Pages : 644 pages
Book Rating : 4.1/5 (396 download)

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Book Synopsis The Quest for Artificial Intelligence by : Nils J. Nilsson

Download or read book The Quest for Artificial Intelligence written by Nils J. Nilsson and published by Cambridge University Press. This book was released on 2009-10-30 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

MATLAB for Machine Learning

Author : Giuseppe Ciaburro
Publisher : Packt Publishing Ltd
ISBN 13 : 1788399390
Total Pages : 374 pages
Book Rating : 4.7/5 (883 download)

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Book Synopsis MATLAB for Machine Learning by : Giuseppe Ciaburro

Download or read book MATLAB for Machine Learning written by Giuseppe Ciaburro and published by Packt Publishing Ltd. This book was released on 2017-08-28 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn Learn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.

Understanding the impact of artificial intelligence on skills development

Author : UNESCO International Centre for Technical and Vocational Education and Training
Publisher : UNESCO Publishing
ISBN 13 : 9231004468
Total Pages : 56 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis Understanding the impact of artificial intelligence on skills development by : UNESCO International Centre for Technical and Vocational Education and Training

Download or read book Understanding the impact of artificial intelligence on skills development written by UNESCO International Centre for Technical and Vocational Education and Training and published by UNESCO Publishing. This book was released on 2021-04-02 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning with Python

Author : Francois Chollet
Publisher : Simon and Schuster
ISBN 13 : 1638352046
Total Pages : 597 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Deep Learning with Python by : Francois Chollet

Download or read book Deep Learning with Python written by Francois Chollet and published by Simon and Schuster. This book was released on 2017-11-30 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance

Artificial Intelligence in the 21st Century

Author : Stephen Lucci
Publisher : Mercury Learning and Information
ISBN 13 : 1944534539
Total Pages : 1168 pages
Book Rating : 4.9/5 (445 download)

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Book Synopsis Artificial Intelligence in the 21st Century by : Stephen Lucci

Download or read book Artificial Intelligence in the 21st Century written by Stephen Lucci and published by Mercury Learning and Information. This book was released on 2015-12-10 with total page 1168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on robotics and machine learning are now included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion DVD is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption. eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected]. FEATURES: • Includes new chapters on robotics and machine learning and new sections on speech understanding and metaphor in NLP • Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations • Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest • Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications • Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises • Includes DVD with resources, simulations, and figures from the book • Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc.

Machine Learning

Author :
Publisher :
ISBN 13 : 9781782522591
Total Pages : 125 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Machine Learning by :

Download or read book Machine Learning written by and published by . This book was released on 2017 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Resisting Reduction

Author : Nicky Case
Publisher : Mit Press
ISBN 13 : 9780262043144
Total Pages : 0 pages
Book Rating : 4.0/5 (431 download)

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Book Synopsis Resisting Reduction by : Nicky Case

Download or read book Resisting Reduction written by Nicky Case and published by Mit Press. This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provocative, hopeful essays imagine a future that is not reduced to algorithms. When Joi Ito published an essay, "Resisting Reduction: A Manifesto," about human flourishing in an age of machine intelligence, his argument against industrial optimizations in the pursuit of growth and for the importance of natural complexity and resilience received such an impassioned response that he invited writers to develop full-length essays continuing the conversation. Resisting Reduction is the result: Ito's manifesto and nine equally provocative responses, all imagining a future that is not limited by a worldview defined by algorithm. Rather than await our inevitable domination by machines, Ito and his respondents argue, we should work toward a future of interconnected complex systems. Ito blames Silicon Valley's "groupthink" and "cult of technology" for claiming that narrow technical solutions can resolve the world's complex problems. More computing power does not make us more "intelligent," he tells us, only more computationally powerful. In their responses, the other writers offer persuasive and compelling variations on Ito's argument. Among other things, they call for a "Human+AI Centaur" as the best way to augment intelligence; draw on indigenous epistemology to argue for an extended "circle of relationships" that includes the nonhuman and robotic; debunk the myth of the lone pioneer and propose instead a model of adaptive interconnectivity; cast "Snow White" as a tale of AI featuring a "smart mirror"; point out the "cisnormativity" of security protocol algorithms; and consider the limits of moral mathematics. Contributors Noelani Arista, Nicky Case, Sasha Costanza-Chock, Vafa Ghazavi, Kat Holmes, Joi Ito, Suzanne aka Kite, Cathryn Klusmeier, Jason Edward Lewis, Molly McCue, Archer Pechawis, Jaclyn Sawyer, Gary Zhexi Zhang, Snoweria Zhang

Artificial Intelligence, China, Russia, and the Global Order

Author : Shazeda Ahmed
Publisher :
ISBN 13 : 9781585662951
Total Pages : 264 pages
Book Rating : 4.6/5 (629 download)

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Book Synopsis Artificial Intelligence, China, Russia, and the Global Order by : Shazeda Ahmed

Download or read book Artificial Intelligence, China, Russia, and the Global Order written by Shazeda Ahmed and published by . This book was released on 2019 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Artificial intelligence (AI) and big data promise to help reshape the global order. For decades, most political observers believed that liberal democracy offered the only plausible future pathways for big, industrially sophisticated countries to make their citizens rich. Now, by allowing governments to monitor, understand, and control their citizens far more effectively than ever before, AI offers a plausible way for big, economically advanced countries to make their citizens rich while maintaining control over them--the first since the end of the Cold War. That may help fuel and shape renewed international competition between types of political regimes that are all becoming more "digital." Just as competition between liberal democratic, fascist, and communist social systems defined much of the twentieth century, how may the struggle between digital liberal democracy and digital authoritarianism define and shape the twenty-first? This work highlights several key areas where AI-related technologies have clear implications for globally integrated strategic planning and requirements development"--

Synthetic Biology

Author : Madan L. Nagpal
Publisher : BoD – Books on Demand
ISBN 13 : 1789840899
Total Pages : 208 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Synthetic Biology by : Madan L. Nagpal

Download or read book Synthetic Biology written by Madan L. Nagpal and published by BoD – Books on Demand. This book was released on 2020-02-12 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Synthetic biology gives us a new hope because it combines various disciplines, such as genetics, chemistry, biology, molecular sciences, and other disciplines, and gives rise to a novel interdisciplinary science. We can foresee the creation of the new world of vegetation, animals, and humans with the interdisciplinary system of biological sciences. These articles are contributed by renowned experts in their fields. The field of synthetic biology is growing exponentially and opening up new avenues in multidisciplinary approaches by bringing together theoretical and applied aspects of science.

E-agriculture in action: Drones for agriculture

Author : Food and Agriculture Organization of the United Nations
Publisher : Food & Agriculture Org.
ISBN 13 : 9251302464
Total Pages : 126 pages
Book Rating : 4.2/5 (513 download)

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Book Synopsis E-agriculture in action: Drones for agriculture by : Food and Agriculture Organization of the United Nations

Download or read book E-agriculture in action: Drones for agriculture written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2018-07-20 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: The FAO-ITU E-agriculture strategy guide (available at http://www.fao.org/3/a-i5564e.pdf) is actively being used to assist countries in the successful identification, development and implementation of sustainable ICT solutions for agriculture.The use of unmanned aerial vehicles (UAVs), also known as drones, and connected analytics has great potential to support and address some of the most pressing problems faced by agriculture in terms of access to actionable real-time quality data. Goldman Sachs predicts that the agriculture sector will be the second largest user of drones in the world in the next five years. Sensor networks based on the Internet of things (IoT) are increasingly being used in the agriculture sector to meet the challenge of harvesting meaningful and actionable information from the big data generated by these systems. This publication is the second in the series titled E-agriculture in action (2016), launched by FAO and ITU, and builds on the previous FAO publications that highlight the use of ICT for agriculture such as Mobile technologies for agriculture and rural development (2012), Information and communication technologies for agriculture and rural development (2013) and Success stories on information and communication technologies for agriculture and rural development (2015). The ultimate aim is to promote successful, scalable, sustainable and replicable ICT for agriculture (ICT4Ag) solutions.

Universal Artificial Intelligence

Author : Marcus Hutter
Publisher : Springer Science & Business Media
ISBN 13 : 3540268774
Total Pages : 294 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Universal Artificial Intelligence by : Marcus Hutter

Download or read book Universal Artificial Intelligence written by Marcus Hutter and published by Springer Science & Business Media. This book was released on 2005-12-29 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob lems, pattern recognition, classification, learning, induction, deduction, build ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.

Converging Technologies for Improving Human Performance

Author : Mihail C. Roco
Publisher : Springer Science & Business Media
ISBN 13 : 9401703590
Total Pages : 477 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Converging Technologies for Improving Human Performance by : Mihail C. Roco

Download or read book Converging Technologies for Improving Human Performance written by Mihail C. Roco and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: M. C. Roco and W.S. Bainbridge In the early decades of the 21st century, concentrated efforts can unify science based on the unity of nature, thereby advancing the combination of nanotechnology, biotechnology, information technology, and new technologies based in cognitive science. With proper attention to ethical issues and societal needs, converging in human abilities, societal technologies could achieve a tremendous improvement outcomes, the nation's productivity, and the quality of life. This is a broad, cross cutting, emerging and timely opportunity of interest to individuals, society and humanity in the long term. The phrase "convergent technologies" refers to the synergistic combination of four major "NBIC" (nano-bio-info-cogno) provinces of science and technology, each of which is currently progressing at a rapid rate: (a) nanoscience and nanotechnology; (b) biotechnology and biomedicine, including genetic engineering; (c) information technology, including advanced computing and communications; (d) cognitive science, including cognitive neuroscience. Timely and Broad Opportunity. Convergence of diverse technologies is based on material unity at the nanoscale and on technology integration from that scale.

Applications of Artificial Intelligence in Business, Education and Healthcare

Author : Allam Hamdan
Publisher : Springer Nature
ISBN 13 : 3030720802
Total Pages : 503 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Applications of Artificial Intelligence in Business, Education and Healthcare by : Allam Hamdan

Download or read book Applications of Artificial Intelligence in Business, Education and Healthcare written by Allam Hamdan and published by Springer Nature. This book was released on 2021-07-12 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the current COVID-19 pandemic, in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy.