Advanced Data Analytics In Geotechnics: Adapting to the Big Data Era

by Nick Machairas, Ph.D., (A.M.ASCE), geotechnical engineering and applied analytics consultant with experience in building custom business and engineering AI solutions, thus minimizing risk and construction costs. He is also a lecturer at Columbia University and New York University, where he teaches graduate courses on modern database systems and machine learning.,
Magued Iskander, P.E., Ph.D., (F.ASCE), professor and chair of the Civil & Urban Engineering Department at New York University’s Tandon School of Engineering. A geotechnical engineering educator with 25+ years of experience, his research focuses on physical modelling with transparent soils, polymeric piling, and applications of data analytics in geotechnology.,


Serial Information: Geo-Strata —Geo Institute of ASCE, 2020, Vol. 24, Issue 4, Pg. 32-39


Document Type: Feature article

Abstract: Everyone is talking about the impact of artificial intelligence (AI) on the future of work. In one camp are people like the industrialist Elon Musk who fear the potential evils of AI and its possible impact on the future of mankind as depicted in the movies The Terminator and The Matrix. In the opposite camp, people like Nobel laureate Joseph Stiglitz claim that AI will usher a new age of prosperity that rivals the industrial age. The truth is, of course, somewhere in between. In this article, we provide a primer on AI, debunk some misconceptions, and explore some of the possible impacts of AI on the future of geotechnics.

Subject Headings: Geotechnical engineering | Big data | Industries | Artificial intelligence and machine learning | Matrix (mathematics) | Claims

 

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