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Synopsis
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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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).
"About this title" may belong to another edition of this title.
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Artificial Intelligence for Science and Engineering Applications (Hardcover)
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Taylor & Francis Ltd, London, 2024
ISBN 10: 1032439041
ISBN 13: 9781032439044
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Hardcover. Condition: new. Hardcover. Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decisionmaking. 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 applicationsExplores the modeling of physical phenomena using AIDiscusses explainable AI (XAI) applicationsCovers the ethics of AI in science and engineeringFeatures realworld case studiesOffering 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032439044
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