STAIGES: Insights

Archive

  • AI Is Moving Fast. Geotechnical Engineers Might Need to Slow Down

    When I started this newsletter, my original goal was simple: share insights from my research on machine learning applications in geotechnical engineering and explore how these tools could improve engineering practice. But over the past year, the landscape changed rapidly With the rise of Large Language Models (LLMs), technical information has become more accessible than…

    Laith Sadik

  • Smarter Geotech Starts With Digital Twins

    Over the past year, I’ve come across the term “digital twin” quite a bit, a term I really like because it sounds pretty cool! So I started gathering information to see how it could be applied in geotechnical engineering. This week’s article is all about that. I’ve never applied it myself, but I hope this…

    Laith Sadik

  • More Data, Better Model? Not Always!

    At the GeoCongress 2023 conference in LA, I had an interesting conversation with a geotechnical engineer about a Bayesian correlation model we developed. The model correlated cone penetration tip resistance with standard penetration test (SPT) blow counts in sandy soils, using 220 high-quality data points from previous research. His reaction? “Wait, just 220 points? And…

    Laith Sadik