Artificial Intelligence and the Future of Testing

Artificial Intelligence and the Future of Testing
Author: Roy Freedle
Publsiher: Psychology Press
Total Pages: 344
Release: 2014-02-24
ISBN: 1317785754
Category: Psychology
Language: EN, FR, DE, ES & NL

Artificial Intelligence and the Future of Testing Book Excerpt:

This volume consists of a series of essays written by experts, most of whom participated in a conference conducted by the Educational Testing Service to explore how current fields of artificial intelligence might contribute to ETS's plans to automate one or more of its testing activities. The papers presented in Artificial Intelligence and the Future of Testing touch on a variety of topics including mathematics tutors, graph comprehension and computer vision, student reasoning and human accessing, modeling software design within a general problem-space architecture, memory organization and retrieval, and natural language systems. Also included: speculation on possible uses each AI specialty might have for a wide number of testing activities, and selective critical commentaries by two eminent AI researchers. As Roy Freedle notes in his introduction, "We are at an exciting juncture in applying AI to testing activities." The essays presented in this collection convey some of that excitement, and represent an important step toward the merging of AI and testing -- a powerful combination that has the potential to instruct and inspire.

Artificial Intelligence and the Future of Defense

Artificial Intelligence and the Future of Defense
Author: Stephan De Spiegeleire,Matthijs Maas,Tim Sweijs
Publsiher: The Hague Centre for Strategic Studies
Total Pages: 140
Release: 2017-05-17
ISBN: 9492102544
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence and the Future of Defense Book Excerpt:

Artificial intelligence (AI) is on everybody’s minds these days. Most of the world’s leading companies are making massive investments in it. Governments are scrambling to catch up. Every single one of us who uses Google Search or any of the new digital assistants on our smartphones has witnessed first-hand how quickly these developments now go. Many analysts foresee truly disruptive changes in education, employment, health, knowledge generation, mobility, etc. But what will AI mean for defense and security? In a new study HCSS offers a unique perspective on this question. Most studies to date quickly jump from AI to autonomous (mostly weapon) systems. They anticipate future armed forces that mostly resemble today’s armed forces, engaging in fairly similar types of activities with a still primarily industrial-kinetic capability bundle that would increasingly be AI-augmented. The authors of this study argue that AI may have a far more transformational impact on defense and security whereby new incarnations of ‘armed force’ start doing different things in novel ways. The report sketches a much broader option space within which defense and security organizations (DSOs) may wish to invest in successive generations of AI technologies. It suggests that some of the most promising investment opportunities to start generating the sustainable security effects that our polities, societies and economies expect may lie in in the realms of prevention and resilience. Also in those areas any large-scale application of AI will have to result from a preliminary open-minded (on all sides) public debate on its legal, ethical and privacy implications. The authors submit, however, that such a debate would be more fruitful than the current heated discussions about ‘killer drones’ or robots. Finally, the study suggests that the advent of artificial super-intelligence (i.e. AI that is superior across the board to human intelligence), which many experts now put firmly within the longer-term planning horizons of our DSOs, presents us with unprecedented risks but also opportunities that we have to start to explore. The report contains an overview of the role that ‘intelligence’ - the computational part of the ability to achieve goals in the world - has played in defense and security throughout human history; a primer on AI (what it is, where it comes from and where it stands today - in both civilian and military contexts); a discussion of the broad option space for DSOs it opens up; 12 illustrative use cases across that option space; and a set of recommendations for - especially - small- and medium sized defense and security organizations.

Artificial Intelligence in Nondestructive Testing of Civil Engineering Materials

Artificial Intelligence in Nondestructive Testing of Civil Engineering Materials
Author: Juncai Xu,Wen Deng,Jun Wu
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2021-11-23
ISBN: 2889716694
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Nondestructive Testing of Civil Engineering Materials Book Excerpt:

Artificial Intelligence and the Future of Testing

Artificial Intelligence and the Future of Testing
Author: Roy O. Freedle
Publsiher: Psychology Press
Total Pages: 329
Release: 1990
ISBN: 9780805801170
Category: Psychology
Language: EN, FR, DE, ES & NL

Artificial Intelligence and the Future of Testing Book Excerpt:

This volume consists of a series of essays written by experts, most of whom participated in a conference conducted by the Educational Testing Service to explore how current fields of artificial intelligence might contribute to ETS's plans to automate one or more of its testing activities. The papers presented in Artificial Intelligence and the Future of Testing touch on a variety of topics including mathematics tutors, graph comprehension and computer vision, student reasoning and human accessing, modeling software design within a general problem-space architecture, memory organization and retrieval, and natural language systems. Also included: speculation on possible uses each AI specialty might have for a wide number of testing activities, and selective critical commentaries by two eminent AI researchers. As Roy Freedle notes in his introduction, "We are at an exciting juncture in applying AI to testing activities." The essays presented in this collection convey some of that excitement, and represent an important step toward the merging of AI and testing -- a powerful combination that has the potential to instruct and inspire.

Artificial Intelligence Methods for Optimization of the Software Testing Process

Artificial Intelligence Methods for Optimization of the Software Testing Process
Author: Sahar Tahvili,Leo Hatvani
Publsiher: Academic Press
Total Pages: 232
Release: 2022-08-05
ISBN: 0323912826
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Methods for Optimization of the Software Testing Process Book Excerpt:

Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents different AI-based solutions for overcoming the uncertainty found in many initial testing problems. The concept of intelligent decision making is presented as a multi-criteria, multi-objective undertaking. The book provides guidelines on how to manage diverse types of uncertainty with intelligent decision-making that can help subject matter experts in many industries improve various processes in a more efficient way. As the number of required test cases for testing a product can be large (in industry more than 10,000 test cases are usually created). Executing all these test cases without any particular order can impact the results of the test execution, hence this book fills the need for a comprehensive resource on the topics on the how's, what's and whys. To learn more about Elsevier’s Series, Uncertainty, Computational Techniques and Decision Intelligence, please visit this link: https://www.elsevier.com/books-and-journals/book-series/uncertainty-computational-techniques-and-decision-intelligence Presents one of the first empirical studies in the field, contrasting theoretical assumptions on innovations in a real industrial environment with a large set of use cases from developed and developing testing processes at various large industries Explores specific comparative methodologies, focusing on developed and developing AI-based solutions Serves as a guideline for conducting industrial research in the artificial intelligence and software testing domain Explains all proposed solutions through real industrial case studies

Artificial Intelligence and PET Imaging Part 2 An Issue of PET Clinics E Book

Artificial Intelligence and PET Imaging  Part 2  An Issue of PET Clinics   E Book
Author: Arman Rahmim,Babak Saboury,Eliot Siegel
Publsiher: Elsevier Health Sciences
Total Pages: 240
Release: 2021-11-27
ISBN: 0323850146
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence and PET Imaging Part 2 An Issue of PET Clinics E Book Book Excerpt:

In this issue of PET Clinics, guest editors Arman Rahmim, Babak Saboury, and Eliot Siegel bring their considerable expertise to the topic of Artificial Intelligence and PET Imaging. Provides in-depth, clinical reviews on the latest updates in AI and PET Imaging, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field; Authors synthesize and distill the latest research and practice guidelines to create these timely topic-based reviews.

Artificial Intelligence Applications in Specialty Crops

Artificial Intelligence Applications in Specialty Crops
Author: Yiannis Ampatzidis,Reza Ehsani,Spyros Fountas,Panos M. Pardalos
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2022-03-02
ISBN: 2889745570
Category: Science
Language: EN, FR, DE, ES & NL

Artificial Intelligence Applications in Specialty Crops Book Excerpt:

Artificial Intelligence in Education

Artificial Intelligence in Education
Author: Cristina Conati,Neil Heffernan,Antonija Mitrovic,M. Felisa Verdejo
Publsiher: Springer
Total Pages: 931
Release: 2015-06-16
ISBN: 3319197738
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Education Book Excerpt:

This book constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence in Education, AIED 2015, held in Madrid, Spain, in June 2015. The 50 revised full papers presented together with 3 keynotes, 79 poster presentations, 13 doctoral consortium papers, 16 workshop abstracts, and 8 interactive event papers were carefully reviewed and selected from numerous submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics, as well as many domain-specific areas.

Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing 2012

Software Engineering  Artificial Intelligence  Networking and Parallel Distributed Computing 2012
Author: Roger Lee
Publsiher: Springer
Total Pages: 230
Release: 2012-08-14
ISBN: 3642321720
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing 2012 Book Excerpt:

The purpose of the 13th International Conference on Computer and Information Science (SNPD 2012) held on August 8-10, 2012 in Kyoto, Japan was to bring together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 17 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. The conference organizers selected 17 outstanding papers from SNPD 2012, all of which you will find in this volume of Springer’s Studies in Computational Intelligence.

Artificial Intelligence Applications for Improved Software Engineering Development New Prospects

Artificial Intelligence Applications for Improved Software Engineering Development  New Prospects
Author: Meziane, Farid,Vadera, Sunil
Publsiher: IGI Global
Total Pages: 372
Release: 2009-07-31
ISBN: 1605667595
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Applications for Improved Software Engineering Development New Prospects Book Excerpt:

"This book provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement"--Provided by publisher.

Handbook of Understanding and Measuring Intelligence

Handbook of Understanding and Measuring Intelligence
Author: Oliver Wilhelm,Randall W. Engle,Randall W.. Engle
Publsiher: SAGE
Total Pages: 542
Release: 2005
ISBN: 9780761928874
Category: Psychology
Language: EN, FR, DE, ES & NL

Handbook of Understanding and Measuring Intelligence Book Excerpt:

"The Handbook is designed for scholars and psychology professionals interested in intelligence, cognitive abilities, educational testing and measurement, reasoning, and problem solving. It can also be used by advanced undergraduate and graduate students studying intelligence or the psychology of individual differences. In addition, the Handbook will be a welcome addition to any academic library."--BOOK JACKET.

Artificial Intelligence to Solve Pervasive Internet of Things Issues

Artificial Intelligence to Solve Pervasive Internet of Things Issues
Author: Gurjit Kaur,Pradeep Tomar,Marcus Tanque
Publsiher: Academic Press
Total Pages: 430
Release: 2020-11-18
ISBN: 012819698X
Category: Science
Language: EN, FR, DE, ES & NL

Artificial Intelligence to Solve Pervasive Internet of Things Issues Book Excerpt:

Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others. Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies

Application of Artificial Intelligence to Assessment

Application of Artificial Intelligence to Assessment
Author: Hong Jiao,Robert W. Lissitz
Publsiher: IAP
Total Pages: 223
Release: 2020-03-01
ISBN: 1641139536
Category: Computers
Language: EN, FR, DE, ES & NL

Application of Artificial Intelligence to Assessment Book Excerpt:

The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers’ engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices.

Foundations of Artificial Intelligence in Healthcare and Bioscience

Foundations of Artificial Intelligence in Healthcare and Bioscience
Author: Louis J. Catania
Publsiher: Academic Press
Total Pages: 558
Release: 2020-11-25
ISBN: 0323860052
Category: Science
Language: EN, FR, DE, ES & NL

Foundations of Artificial Intelligence in Healthcare and Bioscience Book Excerpt:

Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care. Provides an illustrated, foundational guide and comprehensive descriptions of what Artificial Intelligence is and how it functions Integrates a comprehensive discussion of AI applications in the business of health care Presents in-depth clinical and AI-related discussions on diagnostic medicine, therapeutic medicine, and prevalent disease categories with an emphasis on immunology and genetics, the two categories most influenced by AI Includes comprehensive coverage of a variety of AI treatment applications, including medical/pharmaceutical care, nursing care, stem cell therapies, robotics, and 10 common disease categories with AI applications

The Future of Software Quality Assurance

The Future of Software Quality Assurance
Author: Stephan Goericke
Publsiher: Springer Nature
Total Pages: 257
Release: 2019-11-19
ISBN: 3030295095
Category: Computers
Language: EN, FR, DE, ES & NL

The Future of Software Quality Assurance Book Excerpt:

This open access book, published to mark the 15th anniversary of the International Software Quality Institute (iSQI), is intended to raise the profile of software testers and their profession. It gathers contributions by respected software testing experts in order to highlight the state of the art as well as future challenges and trends. In addition, it covers current and emerging technologies like test automation, DevOps, and artificial intelligence methodologies used for software testing, before taking a look into the future. The contributing authors answer questions like: "How is the profession of tester currently changing? What should testers be prepared for in the years to come, and what skills will the next generation need? What opportunities are available for further training today? What will testing look like in an agile world that is user-centered and fast-paced? What tasks will remain for testers once the most important processes are automated?" iSQI has been focused on the education and certification of software testers for fifteen years now, and in the process has contributed to improving the quality of software in many areas. The papers gathered here clearly reflect the numerous ways in which software quality assurance can play a critical role in various areas. Accordingly, the book will be of interest to both professional software testers and managers working in software testing or software quality assurance.

Autonomous Real Time Testing

Autonomous Real Time Testing
Author: Thomas Michael Fehlmann
Publsiher: Logos Verlag Berlin GmbH
Total Pages: 163
Release: 2020-01-17
ISBN: 3832550380
Category: Computers
Language: EN, FR, DE, ES & NL

Autonomous Real Time Testing Book Excerpt:

Software testing is becoming increasingly important because more and more products are software-intensive. Cars, for example, contain more and more control software (ECUs) that are networked with each other. With new rail vehicles, software problems delay commissioning by months, even years, because the different components are not coordinated with each other. A timely system test would help, but there is a lack of time and resources. The functionality of the software is simply too great. So, you must automate. Automation is not only necessary for the execution of tests, but above all for the generation of suitable test cases. This is possible with Combinatory Logic, the Analytic Hierarchy Process (AHP), and Quality Function Deployment (QFD). When today’s cars use map services from the cloud, or their own sensors, for an Advanced Driving Assistance System (ADAS) to perform driving decisions; or when in the future an autonomous car meets another; or with truck platooning; or when adding a new, previously unknown device to an IoT orchestra, the original base system expands its functionality. Therefore, such an expanding system needs being retested before it can do decisions with the potential of affecting harm to humans or things, after each update, after each learning. This is Continuous Testing during operation; it supplements Continuous Delivery and Continuous Integration. Disruptive innovations in automotive require an equally disruptive new approach to testing of software-intense systems. This requires moving from once-upon-a-time testing before release to autonomous real-time software & systems testing during operations, with indications to users and suppliers about the actual state and testing results. This book explains the theory and the implementation approach for a framework for Autonomous Real-time Testing (ART) of a software-intense system while in operation.

Advances in Artificial Intelligence and Security

Advances in Artificial Intelligence and Security
Author: Xingming Sun
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3031067649
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence and Security Book Excerpt:

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
Author: Harris Papadopoulos,Andreas S. Andreou,Max Bramer
Publsiher: Springer
Total Pages: 404
Release: 2010-10-02
ISBN: 3642162398
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Applications and Innovations Book Excerpt:

The abundance of information and increase in computing power currently enable researchers to tackle highly complicated and challenging computational problems. Solutions to such problems are now feasible using advances and innovations from the area of Artificial Intelligence. The general focus of the AIAI conference is to provide insights on how Artificial Intelligence may be applied in real-world situations and serve the study, analysis and modeling of theoretical and practical issues. This volume contains papers selected for presentation at the 6th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI 2010) and held in Larnaca, Cyprus, during October 6–7, 2010. IFIP AIAI 2010 was co-organized by the University of Cyprus and the Cyprus University of Technology and was sponsored by the Cyprus University of Technology, Frederick University and the Cyprus Tourism Organization. AIAI 2010 is the official conference of the WG12.5 “Artificial Intel- gence Applications” working group of IFIP TC12, the International Federation for Information Processing Technical Committee on Artificial Intelligence (AI). AIAI is a conference that grows in significance every year attracting researchers from different countries around the globe. It maintains high quality, standards and welcomes research papers describing technical advances and engineering and ind- trial applications of intelligent systems. AIAI 2010 was not confined to introducing how AI may be applied in real-life situations, but also included innovative methods, techniques, tools and ideas of AI expressed at the algorithmic or systemic level.

Artificial Intelligence and Machine Learning Fundamentals

Artificial Intelligence and Machine Learning Fundamentals
Author: Zsolt Nagy
Publsiher: Packt Publishing Ltd
Total Pages: 330
Release: 2018-12-12
ISBN: 1789809207
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Machine Learning Fundamentals Book Excerpt:

Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).

Artificial Intelligence in Neuroscience Affective Analysis and Health Applications

Artificial Intelligence in Neuroscience  Affective Analysis and Health Applications
Author: José Manuel Ferrández Vicente,José Ramón Álvarez-Sánchez,Félix de la Paz López,Hojjat Adeli
Publsiher: Springer Nature
Total Pages: 651
Release: 2022-05-24
ISBN: 3031062426
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Neuroscience Affective Analysis and Health Applications Book Excerpt:

The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications, Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.