Advances In Artificial Intelligence Based Technologies

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Advances in Artificial Intelligence-based Technologies

Maria Virvou,George A. Tsihrintzis,Lefteri H. Tsoukalas,Lakhmi C. Jain
Advances in Artificial Intelligence based Technologies Book PDF

Author : Maria Virvou,George A. Tsihrintzis,Lefteri H. Tsoukalas,Lakhmi C. Jain
Publisher : Springer Nature
Page : 241 pages
File Size : 40,6 Mb
Release : 2021-10-02
Category : Technology & Engineering
ISBN : 9783030805715

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Advances in Artificial Intelligence-based Technologies by Maria Virvou,George A. Tsihrintzis,Lefteri H. Tsoukalas,Lakhmi C. Jain Pdf

With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

Artificial Intelligence

Luis Carlos Rabelo Mendizabal
Artificial Intelligence Book PDF

Author : Luis Carlos Rabelo Mendizabal
Publisher : Unknown
Page : 0 pages
File Size : 44,6 Mb
Release : 2017-11
Category : Artificial intelligence
ISBN : 1536126772

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Artificial Intelligence by Luis Carlos Rabelo Mendizabal Pdf

After decades of basic research and more promises than impressive applications, artificial intelligence (AI) is starting to deliver benefits. A convergence of advances is motivating this new surge of AI development and applications. Computer capability as it has evolved from high throughput and high performance computing systems is increasing. AI models and operations research adaptations are becoming more mature, and the world is breeding big data not only from the web and social media but also from the Internet of Things. Organizations around the world have been realizing that there are substantial performance gains and increases in productivity for the use of AI and predictive analytics techniques. Their use is bringing a new era of breakthrough innovation and opportunities. This book, compiles research insights and applications in diverse areas such as manufacturing, supply chain management, pricing, autonomous vehicles, healthcare, ecommerce, and aeronautics. Using classical and advanced tools in AI such as deep learning, particle swarm optimization, support vector machines and genetic programming among others. This is a very distinctive book which discusses important applications using a variety of paradigms from AI and outlines some of the research to be performed. The work supersedes similar books that do not cover as diversified a set of sophisticated applications. The authors present a comprehensive and articulated view of recent developments, identifies the applications gap by quoting from the experience of experts, and details suggested research areas. Artificial Intelligence: Advances in Research and Applications guides the reader through an intuitive understanding of the methodologies and tools for building and modeling intelligent systems. The book's coverage is broad, starting with clustering techniques with unsupervised ensemble learning, where the optimal combination strategy of individual partitions is robust in comparison to the selection of an algorithmic clustering pool. This is followed by a case in a parallel-distributed simulator using deep learning for its configuration. Chapter Three presents a case for autonomous vehicles. Chapter Four discusses the novel use of genetic algorithms with support vector machines. Chapters Five through Thirteen focus on the applications. The book discusses how the use of AI can allow for productivity development and other benefits not just for businesses, but also for economies. Finally, you can find an interesting investigation of the transhuman dimension of AI.

Advances in Artificial Intelligence-based Technologies

Maria Virvou,George A. Tsihrintzis,Lefteri H. Tsoukalas,Lakhmi C. Jain
Advances in Artificial Intelligence based Technologies Book PDF

Author : Maria Virvou,George A. Tsihrintzis,Lefteri H. Tsoukalas,Lakhmi C. Jain
Publisher : Unknown
Page : 0 pages
File Size : 44,5 Mb
Release : 2022
Category : Electronic
ISBN : 3030805727

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Advances in Artificial Intelligence-based Technologies by Maria Virvou,George A. Tsihrintzis,Lefteri H. Tsoukalas,Lakhmi C. Jain Pdf

With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, "Society 5.0", the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Recent Trends and Advances in Artificial Intelligence and Internet of Things Book PDF

Author : Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Publisher : Springer Nature
Page : 618 pages
File Size : 49,5 Mb
Release : 2019-11-19
Category : Technology & Engineering
ISBN : 9783030326449

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Recent Trends and Advances in Artificial Intelligence and Internet of Things by Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava Pdf

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.

Advances in Machine Learning/Deep Learning-based Technologies

George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain
Advances in Machine Learning Deep Learning based Technologies Book PDF

Author : George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain
Publisher : Springer Nature
Page : 237 pages
File Size : 46,5 Mb
Release : 2021-08-05
Category : Technology & Engineering
ISBN : 9783030767945

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Advances in Machine Learning/Deep Learning-based Technologies by George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain Pdf

As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

Artificial Intelligence in Healthcare

Adam Bohr,Kaveh Memarzadeh
Artificial Intelligence in Healthcare Book PDF

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 53,5 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Deploying Machine Learning

Robbie Allen
Deploying Machine Learning Book PDF

Author : Robbie Allen
Publisher : Addison-Wesley Professional
Page : 99998 pages
File Size : 49,7 Mb
Release : 2019-05
Category : Computers
ISBN : 0135226201

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Deploying Machine Learning by Robbie Allen Pdf

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

Advances in Applied Artificial Intelligence

Fulcher, John
Advances in Applied Artificial Intelligence Book PDF

Author : Fulcher, John
Publisher : IGI Global
Page : 324 pages
File Size : 46,7 Mb
Release : 2006-03-31
Category : Computers
ISBN : 9781591408291

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Advances in Applied Artificial Intelligence by Fulcher, John Pdf

"This book explores artificial intelligence finding it cannot simply display the high-level behaviours of an expert but must exhibit some of the low level behaviours common to human existence"--Provided by publisher.

Advances in Artificial Intelligence and Data Engineering

Niranjan N. Chiplunkar,Takanori Fukao
Advances in Artificial Intelligence and Data Engineering Book PDF

Author : Niranjan N. Chiplunkar,Takanori Fukao
Publisher : Springer Nature
Page : 1456 pages
File Size : 42,8 Mb
Release : 2020-08-13
Category : Technology & Engineering
ISBN : 9789811535147

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Advances in Artificial Intelligence and Data Engineering by Niranjan N. Chiplunkar,Takanori Fukao Pdf

This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.

Advances in Selected Artificial Intelligence Areas

Maria Virvou,George A. Tsihrintzis,Lakhmi C. Jain
Advances in Selected Artificial Intelligence Areas Book PDF

Author : Maria Virvou,George A. Tsihrintzis,Lakhmi C. Jain
Publisher : Springer Nature
Page : 363 pages
File Size : 50,6 Mb
Release : 2022-02-27
Category : Technology & Engineering
ISBN : 9783030930523

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Advances in Selected Artificial Intelligence Areas by Maria Virvou,George A. Tsihrintzis,Lakhmi C. Jain Pdf

As new technological challenges are perpetually arising, Artificial Intelligence research interests are focusing on the incorporation of improvement abilities into machines in an effort to make them more efficient and more useful. Recent reports indicate that the demand for scientists with Artificial Intelligence skills significantly exceeds the market availability and that this shortage will intensify further in the years to come. A potential solution includes attracting more women into the field, as women currently make up only 26 percent of Artificial Intelligence positions in the workforce. The present book serves a dual purpose: On one hand, it sheds light on the very significant research led by women in areas of Artificial Intelligence, in hopes of inspiring other women to follow studies in the area and get involved in related research. On the other hand, it highlights the state-of-the-art and current research in selected Artificial Intelligence areas and applications. The book consists of an editorial note and an additional thirteen (13) chapters, all authored by invited women-researchers who work on various Artificial Intelligence areas and stand out for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Paradigms, (ii) Advances in Artificial Intelligence Applications, and (iii) Recent Trends in Artificial Intelligence Areas and Applications. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the Artificial Intelligence areas of interest to them.

Artificial Intelligence in Behavioral and Mental Health Care

David D. Luxton
Artificial Intelligence in Behavioral and Mental Health Care Book PDF

Author : David D. Luxton
Publisher : Academic Press
Page : 308 pages
File Size : 48,6 Mb
Release : 2015-09-10
Category : Psychology
ISBN : 9780128007921

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Artificial Intelligence in Behavioral and Mental Health Care by David D. Luxton Pdf

Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

Empowering Artificial Intelligence Through Machine Learning

Nedunchezhian Raju,M. Rajalakshmi,Dinesh Goyal,S. Balamurugan,Ahmed A. Elngar,Bright Kesawn
Empowering Artificial Intelligence Through Machine Learning Book PDF

Author : Nedunchezhian Raju,M. Rajalakshmi,Dinesh Goyal,S. Balamurugan,Ahmed A. Elngar,Bright Kesawn
Publisher : CRC Press
Page : 264 pages
File Size : 43,5 Mb
Release : 2022-06-16
Category : Computers
ISBN : 9781000089424

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Empowering Artificial Intelligence Through Machine Learning by Nedunchezhian Raju,M. Rajalakshmi,Dinesh Goyal,S. Balamurugan,Ahmed A. Elngar,Bright Kesawn Pdf

This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next-big-game changer in research and technology, The volume looks at how computing has enabled machines to learn, making machine and tools become smarter in many sectors, including science and engineering, healthcare, finance, education, gaming, security, and even agriculture, plus many more areas. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more. The book will be valuable to professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology.

Novel Developments in Futuristic AI-based Technologies

Manoj Sahni,José M. Merigó,Walayat Hussain
Novel Developments in Futuristic AI based Technologies Book PDF

Author : Manoj Sahni,José M. Merigó,Walayat Hussain
Publisher : Springer Nature
Page : 276 pages
File Size : 52,7 Mb
Release : 2023-07-19
Category : Technology & Engineering
ISBN : 9789819930760

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Novel Developments in Futuristic AI-based Technologies by Manoj Sahni,José M. Merigó,Walayat Hussain Pdf

The book offers many ideas based on the artificial intelligence techniques, fueled by digital technologies that can be implemented in human lives to make them smarter and more intelligent to survive in this rapidly changing world. This book contains diverse applications based on intelligence systems, such as in the development of innovative digital technologies based on cloud-based infrastructure, agriculture supply-chain management, technology that enables the visually impaired to live more comfortably and confidently in their daily lives. It contains new techniques of encryption and decryption, development of various decision-making systems, artificial intelligence techniques in medical areas, etc. This book addresses newly developed technologies and key ideas for new theory which can be used in the development of more advanced and intelligent world for better future.

Artificial Intelligence Supported Educational Technologies

Niels Pinkwart,Sannyuya Liu
Artificial Intelligence Supported Educational Technologies Book PDF

Author : Niels Pinkwart,Sannyuya Liu
Publisher : Springer Nature
Page : 299 pages
File Size : 45,9 Mb
Release : 2020-04-29
Category : Education
ISBN : 9783030410995

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Artificial Intelligence Supported Educational Technologies by Niels Pinkwart,Sannyuya Liu Pdf

This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science. The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems, (3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters.

Preparing for the Future of Artificial Intelligence

Executive Office President,Megan Smith,National Science and on Technology
Preparing for the Future of Artificial Intelligence Book PDF

Author : Executive Office President,Megan Smith,National Science and on Technology
Publisher : Createspace Independent Publishing Platform
Page : 58 pages
File Size : 45,6 Mb
Release : 2017-03-12
Category : Electronic
ISBN : 1544643136

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Preparing for the Future of Artificial Intelligence by Executive Office President,Megan Smith,National Science and on Technology Pdf

Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors. A companion document lays out a strategic plan for Federally-funded research and development in AI. Additionally, in the coming months, the Administration will release a follow-on report exploring in greater depth the effect of AI-driven automation on jobs and the economy. The report was developed by the NSTC's Subcommittee on Machine Learning and Artificial Intelligence, which was chartered in May 2016 to foster interagency coordination, to provide technical and policy advice on topics related to AI, and to monitor the development of AI technologies across industry, the research community, and the Federal Government. The report was reviewed by the NSTC Committee on Technology, which concurred with its contents. The report follows a series of public-outreach activities spearheaded by the White House Office of Science and Technology Policy (OSTP) in 2016, which included five public workshops co-hosted with universities and other associations that are referenced in this report.