Artificial Intelligence for Science and Engineering Applications
eBook - ePub

Artificial Intelligence for Science and Engineering Applications

  1. 136 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence for Science and Engineering Applications

About this book

Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision?making. Science and engineering problem solving requires modeling of physical phenomena, and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through the inclusion of definitions and detailed examples, this book describes the actual and realistic requirements as well as what characteristics must be avoided for correct and successful science and engineering applications of AI.

This book:

  • Offers a brief history of AI and covers science and engineering applications
  • Explores the modeling of physical phenomena using AI
  • Discusses explainable AI (XAI) applications
  • Covers the ethics of AI in science and engineering
  • Features real?world case studies

Offering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in scientific and engineering disciplines.

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Yes, you can access Artificial Intelligence for Science and Engineering Applications by Shahab D. Mohaghegh in PDF and/or ePUB format, as well as other popular books in Computer Science & Chemical & Biochemical Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Author Bio
  8. Introduction
  9. Chapter 1 Definition of Artificial Intelligence and Machine Learning
  10. Chapter 2 Brief History of Artificial Intelligence
  11. Chapter 3 Science and Engineering Application of Artificial Intelligence
  12. Chapter 4 Modeling Physics Using Artificial Intelligence
  13. Chapter 5 Artificial Intelligence versus Traditional Statistics
  14. Chapter 6 Ethics of Artificial Intelligence (AI-Ethics) in Science and Engineering
  15. Chapter 7 Explainable Artificial Intelligence (XAI)
  16. References
  17. Index