Artificial Intelligence and Digital Systems Engineering

Автор: literator от 12-08-2021, 20:32, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Artificial Intelligence and Digital Systems EngineeringНазвание: Artificial Intelligence and Digital Systems Engineering
Автор: Adedeji B. Badiru
Издательство: CRC Press
Год: 2022
Страниц: 128
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

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 (AI), 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.

Artificial Intelligence (AI) is not just one single thing. It is a conglomerate of various elements, involving software, hardware, data platform, policy, procedures, specifications, rules, and people intuition. How we leverage such a multifaceted system to do seemingly intelligent things, typical of how humans think and work, is a matter of systems implementation. This is why the premise of this book centers on a systems methodology. In spite of the recent boost in the visibility and hype of artificial intelligence, it has actually been around and toyed with for decades. What has brought AI more to the forefront nowadays is the availability and prevalence of high-powered computing tools that have enabled the data-intensive processing required by AI systems. The resurgence of AI has been driven by the following developments:

• Emergence of new computational techniques and more powerful computers
• Machine Learning techniques
• Autonomous systems
• New/innovative applications
• Specialized techniques: Intelligent Computational Search Technique Using Cantor Set Sectioning
• Human-in-the-loop requirements
• Systems integration aspects

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.

Contents:


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