Tech@Lunch: Physics augmented AI for leveraging limited data
Webinar
Curious about maximizing results with limited training data?
Join our half-hour Tech@Lunch webinar, taking place on 11 March at 12h30, where we explore a modelling approach that fuses limited data and physical domain knowledge into accurate models. Discover how to quantify uncertainties on the resulting models and use them for robust decision-making. Applied to a real nonlinear mechanical system, we illustrate how the uncertainty can eliminate the risk of out of spec performance.
Crafting effective experimental campaigns extends far beyond rudimentary trial grids. You will learn how to leverage model uncertainty to optimize experimental designs for data-expensive equipment. We show how this method can find non-trivial experiments that offer the biggest gain in performance.
Don't miss this opportunity to delve into cutting-edge research insights, where data science intersects with profound domain knowledge, shaping the future of innovation.
The webinar is free of charge, however, you'll have to register:
