sebastianeament

4 ms·

1. 1.▲
   by sebastianeament 6mo ago

   That's right.
2. 2.▲
   by sebastianeament 6mo ago

   The predictions of the model are used as recommendations for onsite testing to accelerate finding mixtures with optimal strength-speed-sustainability trade-offs. We are not replacing canonical testing with the model.
3. 3.▲
   by sebastianeament 6mo ago

   Google's "Smart Cookie" indeed also used techniques from Bayesian Optimization. For some technical detail, see their write-up here: https://static.googleusercontent.com/media/research.google.c... Our wor
4. 4.▲
   by sebastianeament 6mo ago

   We use Gaussian processes trained on vetted test data from academic and industry partners. We use these predictions to recommend mixes for onsite testing to accelerate finding mixtures with optimal strength-speed-sustainability trade-offs.
5. 5.▲
   by sebastianeament 6mo ago

   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 mixtur