Artificial Intelligence for Science and Engineering Applications

by Shahab D. Mohaghegh

Overview

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.

Product Details

ISBN-13:	9781032439044
Publisher:	CRC Press
Publication date:	04/01/2024
Pages:	136
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Shahab D. Mohaghegh, a pioneer in the application of Artificial Intelligence and Machine Learning in the Exploration and Production industry, is a Professor of Petroleum and Natural Gas Engineering at West Virginia University, USA, and the president and CEO of Intelligent Solutions, Inc. (ISI). He is the director of WVU-LEADS (Laboratory for Engineering Application of Data Science).

Table of Contents

1. Definition of Artificial Intelligence and Machine Learning, 2. Brief History of Artificial Intelligence, 3. Science and Engineering Application of Artificial Intelligence, 4. Modeling Physics Using Artificial Intelligence, 5. Artificial Intelligence versus Traditional Statistics, 6. Ethics of Artificial Intelligence (AI‑Ethics) in Science and Engineering, 7. Explainable Artificial Intelligence (XAI)