Artificial Intelligence and Digital Systems Engineering

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Adedeji B. Badiru (Professor, Dean Graduate School of Engineering and Management, Air Force Institute of Technology (AFIT), Ohio)

Artificial Intelligence and Digital Systems Engineering

Adedeji B. Badiru (Professor, Dean Graduate School of Engineering and Management, Air Force Institute of Technology (AFIT), Ohio)

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Paperback

Forthcoming
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English

CRC Press
07 October 2024

Engineering: general

Series: Analytics and Control

The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering.

Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks.

This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations.

By: Adedeji B. Badiru (Professor Dean Graduate School of Engineering and Management Air Force Institute of Technology (AFIT) Ohio)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 216mm, Width: 138mm,
ISBN: 9780367545482
ISBN 10: 0367545489
Series: Analytics and Control
Pages: 112
Publication Date: 07 October 2024
Audience: General/trade , College/higher education , Professional and scholarly , ELT Advanced , Primary
Format: Paperback
Publisher's Status: Forthcoming

1. Understanding AI. 2. Expert Systems: The Software Side of AI. 3. Digital Systems Framework of AI. 4. Neural Networks for Artificial Intelligence. 5. Neural-Fuzzy Networks for Artificial Intelligence.

Adedeji Badiru is a professor of systems engineering at the Graduate School of Engineering and Management at the Air Force Institute of Technology. He was previously Professor and Department Head of Industrial Engineering at the University of Tennessee, and Professor of Industrial Engineering at the University of Oklahoma. He is a registered professional engineer (PE), a certified Project Management Professional (PMP), and a Fellow of the Institute of Industrial & Systems Engineers. He is the author of over 30 books, 34 book chapters, and 80 technical journal articles. He is a member of several professional associations and scholastic honor societies.