Read more
This book addresses the unique differences in how AI should be developed and used in science and engineering. Through inclusion of definitions and detailed examples, this book covers actual and realistic requirements as well as avoidance of certain characteristics for the correct and successful science and engineering application of AI.
List 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)
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).
Summary
This book addresses the unique differences in how AI should be developed and used in science and engineering. Through inclusion of definitions and detailed examples, this book covers actual and realistic requirements as well as avoidance of certain characteristics for the correct and successful science and engineering application of AI.
