Artificial Intelligence and Digital Systems Engineering

This informative guide introduces readers to artificial intelligence's foundations and applications, particularly within digital systems engineering. Artificial Intelligence and Digital Systems Engineering is a valuable resource for various audiences.

The resurgence of artificial intelligence has been significantly driven by the advancements in high-performance computational tools and techniques available today. This book serves as an introductory guide to artificial intelligence, particularly focusing on its implications within the realm of digital systems engineering. By presenting foundational concepts, it aims to demystify AI for readers who may be new to the subject.

Artificial Intelligence and Digital Systems Engineering offers a comprehensive overview of the origins of AI, exploring its various applications across different fields. The text delves into the software and hardware interfaces that facilitate the integration of AI into various systems, making it an essential resource for those looking to understand the technology's breadth and depth. Through practical examples, the book illustrates how AI can enhance the development of games, simulations, and consumer products, especially through the use of artificial neural networks.

This book is tailored for a diverse audience, including general readers, university students, and educators in industrial, production, civil, mechanical, and manufacturing engineering disciplines. Additionally, it appeals to technology managers, project leaders, and operations personnel who are keen on leveraging AI to improve efficiency and innovation in their respective fields.