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 inclusion of definitions and detailed examples, this book covers the actual and realistic requirements as well as avoidance of certain characteristics for the correct and successful science and engineering application of AI. This book:
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Offers a brief history of AI and covers science and engineering applications.
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Explores modeling of physical phenomena using AI.
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Discusses explainable AI (XAI) applications.
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Covers ethics of AI in science and engineering.
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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 the scientific and engineering disciplines.
Preface
Chapter 1 : Definition of Artificial Intelligence and Machine Learning
Chapter 2 : Brief History of Artificial Intelligence
Chapter 3 : Science and Engineering Application of Artificial Intelligence
Chapter 4 : Modeling Physics using Artificial Intelligence
Chapter 5 : Artificial Intelligence versus Traditional Statistics
Chapter 6 : Ethics of Artificial Intelligence (AI-Ethics) in Science and Engineering
Chapter 7 : Explainable Artificial Intelligence
Index
