Summary:
Artificial Intelligence and Machine Learning (AI&ML) have a game-changing contribution to the industrial and engineering-related problems. This technology will completely change the future of many industries through a transformational increase of the efficiency and accuracy of the problem solving. The contributions of AI&ML to many industries can be summarized in two classes:
Class One: Minimization or avoidance of assumptions, interpretations, and simplifications in order to build highly realistic models of the physical phenomena.
Class Two: Minimization of computational footprint of the numerical models such that they can act in a realistic and practical manner.
There are major differences in how AI&ML is used to solve Engineering versus Non-engineering problems. Successful and realistic application of AI&ML in engineering disciplines requires engineering domain expertise above and beyond expertise in AI&ML. This fact challenges the current state of hypes and marketing schemes of this technology in multiple engineering disciplines.
Topic being covered in this presentation:
• Brief History of Artificial Intelligence
• Definitions of AI&ML
• Modeling Physics using AI&ML
• Engineering Applications of AI&ML
• AI&ML versus Traditional Statistics
• Engineering Case Study of AI&ML
- Computational Fluid Dynamic
If you are interested in this presentation (Tuesday June 7), please send me an Email and I provide you the link------------------------------
Shahab D. Mohaghegh
Professor; Petroleum & Natural Gas Engineering
Director of (WVU-LEADS)
West Virginia University Laboratory for Engineering Application of Data Science
------------------------------