AI for American-Produced Cement and Concrete

Meta is continuing its long-term roadmap to help the construction industry leverage AI to produce high-quality and more sustainable concrete mixes, as well as those exclusively produced in the Unit…

Engineering at Meta

> As a result, producers need a way to rapidly explore and validate new formulations without spending months in the lab.

How do you bypass the normal process of pouring test articles and testing them months and years after cure? This is fundamentally a research activity that needs to conduct verifiable science. Not something you can guess at with an LLM.

Hi, I developed the model. We are not bypassing the regular testing process, and are not using LLMs, but Gaussian processes with vetted test data. The predictions are used as recommendations for onsite testing, to accelerate finding mixtures with optimal strength-speed-sustainability trade-offs.
That’s helpful. So instead of a much larger test matrix you are using a model to reduce that to the most likely candidates, right?