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241 - Opportunities with AI (in 2026) with MZ Naser
Is it too late to start with the AI in 2026? It wen't so far, does it still make sense to get interested in this technology? Absolutely. Today we sit down with MZ Naser of Clemson University to map a clear, useful path for engineers who want results without the hype. We start with the basics - clean data, the right algorithm, and a realistic mindset - and climb toward explainability, causality, and even philosophy to show where AI informs decisions and where it can quietly mislead. We dig in...
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March 4, 2026
241 - Opportunities with AI (in 2026) with MZ Naser
Is it too late to start with the AI in 2026? It wen't so far, does it still make sense to get interested in this technology? Absolutely. Today we sit down with MZ Naser of Clemson University to map a clear, useful path for engineers who want results without the hype. We start with the basics - clea…
Feb. 25, 2026
240 - Distressed by the AI stuff around
I’m not stressed by AI itself. I’m stressed by the insatiable greed of those who profit from it, even if it means sacrificing large parts of the population. I'm also stressed about how ruthlessly it can be abused to cause del...
Feb. 18, 2026
239 - Assessing post-fire structural damage in tunnels with Negar Elhami-Khorasani
A tunnel can ride out a fire without collapsing (or even critical visible structural damage), but a question whether it is safe for operations, and what is its long-term residual fire resistance remains. With repair bills bei...
Feb. 11, 2026
238 - Fire Fundamentals pt. 19 - Defining fires in your models
Welcome to another fire fundamentals episode! Today we dig into how to place a fire in a model so results reflect real physics. From plume inputs to FDS burners, we show where HRRPUA, radiative fraction, and D* make or break ...
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