Funding a Revolution
Funding a Revolution

Author: National Research Council

Publisher: National Academies Press

Published: 1999-02-11

Total Pages: 300

ISBN-13: 0309062780

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The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.

Developments in Applied Artificial Intelligence
Developments in Applied Artificial Intelligence

Author: Ali Moonis

Publisher: Springer

Published: 2003-08-02

Total Pages: 831

ISBN-13: 3540450343

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The refereed proceedings of the 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, held in Loughborough, UK, in June 2003. The 81 revised full papers presented were carefully reviewed and selected from more than 140 submissions. Among the topics addressed are soft computing, fuzzy logic, diagnosis, knowledge representation, knowledge management, automated reasoning, machine learning, planning and scheduling, evolutionary computation, computer vision, agent systems, algorithmic learning, tutoring systems, and financial analysis.

Developments in Applied Artificial Intelligence
Developments in Applied Artificial Intelligence

Author: Tim Hendtlass

Publisher: Springer

Published: 2003-08-02

Total Pages: 841

ISBN-13: 3540480358

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Arti?cial Intelligence is a ?eld with a long history, which is still very much active and developing today. Developments of new and improved techniques, together with the ever-increasing levels of available computing resources, are fueling an increasing spread of AI applications. These applications, as well as providing the economic rationale for the research, also provide the impetus to further improve the performance of our techniques. This further improvement today is most likely to come from an understanding of the ways our systems work, and therefore of their limitations, rather than from ideas ‘borrowed’ from biology. From this understanding comes improvement; from improvement comes further application; from further application comes the opportunity to further understand the limitations, and so the cycle repeats itself inde?nitely. In this volume are papers on a wide range of topics; some describe appli- tions that are only possible as a result of recent developments, others describe new developments only just being moved into practical application. All the - pers re?ect the way this ?eld continues to drive forward. This conference is the 15th in an unbroken series of annual conferences on Industrial and Engineering Application of Arti?cial Intelligence and Expert Systems organized under the auspices of the International Society of Applied Intelligence.

Applied Artificial Intelligence
Applied Artificial Intelligence

Author: Professor Lewis Brown

Publisher:

Published: 2019-07-29

Total Pages: 138

ISBN-13: 9781086158465

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"Buy the paperback version of this book and get the kindle book version for free"Do you want to learn about new technologies to bring your business into the business of the 21st century? Artificial intelligence is proceeding forward to become the predominant element in human lives, whether businesses like it or not. Multinational companies have been able to leverage machine learning to gain insights into customer behavior and the intricacies of their own businesses to stay competitive and carry their businesses into the future. Standing toe-to-toe with these large companies may seem impossible with their huge data and staff resources, but artificial intelligence poises business leaders to level the playing field. Applied Artificial Intelligence teaches business leaders and data scientists how they can use intelligent technology to solve their business problems, scale AI technology to their business, use AI technology to train staff and develop leadership qualities, and keep up on the latest trends in IoT and business intelligence. The days of simply peddling a product and expecting a return are passed. The world of the modern day is characterized by information exchange, and this information exists in the form of data that need to be curated and analyzed. Businesses use data not only to make their businesses more competitive but literally to stay alive. Multinational businesses like Microsoft, Google, and Amazon are not giants in their industries because they developed sophisticated technologies and then stopped. These companies use data to stay competitive, and smaller companies will have to do the same if they expect to survive. Applied artificial intelligence refers to leveraging intelligent technology to increase the productivity of a business. This term acknowledges that artificial intelligence can be something abstract that computer scientists and data scientists experiment with in order to get a glimpse of our collective technological future, but it can also be a technology that has real practical aspects to businesses. The purpose of this book is to help the reader approach artificial intelligence pragmatically. The reader will be provided with strategies that other businesses use to integrate their data with smart technology. They will also be informed of the latest trends in business intelligence as well as given numerous examples of the many ways that businesses of every type are using machine learning to leverage profits. The idea that artificial intelligence is something scary that big, multinational companies use to do mysterious things with data is a viewpoint that is not helpful to any business owner. Artificial intelligence is shaping the future, and it is up to business leaders to recognize this and stay abreast of the latest trends and strategies. Would you like to know more?Scroll to the top of the page and select the buy now button.

New Trends in Applied Artificial Intelligence
New Trends in Applied Artificial Intelligence

Author: Hiroshi G. Okuno

Publisher: Springer

Published: 2007-07-18

Total Pages: 1213

ISBN-13: 3540733256

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This book constitutes the refereed proceedings of the 20th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2007, held in Kyoto, Japan. Coverage includes text processing, fuzzy system applications, real-world interaction, data mining, machine learning chance discovery and social networks, e-commerce, heuristic search application systems, and other applications.

Application of Artificial Intelligence to Assessment
Application of Artificial Intelligence to Assessment

Author: Hong Jiao

Publisher: IAP

Published: 2020-03-01

Total Pages: 223

ISBN-13: 1641139536

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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.

Applied Artificial Intelligence
Applied Artificial Intelligence

Author: Swati V. Shinde

Publisher: CRC Press

Published: 2023-09-29

Total Pages: 411

ISBN-13: 1000896161

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This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. It will also contribute to biosensors and secure systems,and related research. Applied Artificial Intelligence: A Biomedical Perspective begins by detailing recent trends and challenges of applied artificial intelligence in biomedical systems. Part I of the book presents the technological background of the book in terms of applied artificial intelligence in the biomedical domain. Part II demonstrates the recent advancements in automated medical image analysis that have opened ample research opportunities in the applications of deep learning to different diseases. Part III focuses on the use of cyberphysical systems that facilitates computing anywhere by using medical IoT and biosensors and the numerous applications of this technology in the healthcare domain. Part IV describes the different signal processing applications in the healthcare domain. It also includes the prediction of some human diseases based on the inputs in signal format. Part V highlights the scope and applications of biosensors and security aspects of biomedical images. The book will be beneficial to the researchers, industry persons, faculty, and students working in biomedical applications of computer science and electronics engineering. It will also be a useful resource for teaching courses like AI/ML, medical IoT, signal processing, biomedical engineering, and medical image analysis.

Advances in Applied Artificial Intelligence
Advances in Applied Artificial Intelligence

Author: Moonis Ali

Publisher: Springer Science & Business Media

Published: 2006-06-27

Total Pages: 1374

ISBN-13: 3540354530

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This book constitutes the refereed proceedings of the 19th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2006, held in Annecy, France, June 2006. The book presents 134 revised full papers together with 3 invited contributions, organized in topical sections on multi-agent systems, decision-support, genetic algorithms, data-mining and knowledge discovery, fuzzy logic, knowledge engineering, machine learning, speech recognition, systems for real life applications, and more.

Advances in Applied Artificial Intelligence
Advances in Applied Artificial Intelligence

Author: Fulcher, John

Publisher: IGI Global

Published: 2006-03-31

Total Pages: 324

ISBN-13: 1591408296

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"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.