Artificial Intelligence and Digital Systems Engineering

This book PDF is perfect for those who love Technology & Engineering genre, written by Adedeji B. Badiru and published by CRC Press which was released on 11 August 2021 with total hardcover pages 128. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Artificial Intelligence and Digital Systems Engineering books below.

Artificial Intelligence and Digital Systems Engineering
Author : Adedeji B. Badiru
File Size : 41,5 Mb
Publisher : CRC Press
Language : English
Release Date : 11 August 2021
ISBN : 9781000472516
Pages : 128 pages
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Artificial Intelligence and Digital Systems Engineering by Adedeji B. Badiru Book PDF Summary

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.

Artificial Intelligence and Digital Systems Engineering

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

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Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our complex world of nested feedback loops. Such algorithms and processes must gracefully and efficiently adapt to technical challenges such as data quality induced by these loops, and interdependencies that

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Digital Systems Engineering presents a comprehensive treatment of speed, reliability and power.

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This book features high-quality, peer-reviewed papers from the 28th International Conference Systems Engineering (ICSEng 2021), held at Wrcław University of Science and Technology, Wrocław, Poland, on December 14–16, 2021. Presenting the latest developments and technical solutions in systems engineering, it covers a variety of topics, such as analog and digital hardware

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Leaps and Boundaries

Advances in artificial intelligence (AI) have the potential to transform the nature of scientific inquiry and lead to significant innovations in engineering. To date, AI has primarily been used alongside existing design and discovery practices to help researchers analyze or interpret data, e.g., predict the structure of proteins, track

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