Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
use, and long-term crop management goals. While several algorithms have shown promising results in energy savings and crop yield, most of these methods have only been tested in simulation, and make use
-
models. We further propose to develop scalable structure learning methods for these new models, including latent variable identification, and to demonstrate their effectiveness on real data. For this, we
-
complex environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design
-
common considerations like bias and fairness. Second, you will also design methods to systematically evaluate various models against these established standards and values. This contributes
-
bias and fairness. Second, you will also design methods to systematically evaluate various models against these established standards and values. This contributes to the responsible deployment of AI