Jonathan joins the team as PhD students. He will work on novel machine learning and reinforcement learning problems within the project “Reinforcement Learning for Automated Flowsheet Synthesis of Steady-State Processes”, funded by the German Research Foundation (DFG).
Together with Computomics GmbH we successfully attracted funding from the Federal Ministry of Education and Research (BMBF) for our new project “CropML: New machine learning techniques for more accurate plant breeding by integrating heterogeneous external factors”.
We published a novel machine learning algorithm EVARS-GPR an EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data. Florian presented the method at the German AI Conference. The talk can be found on youtube: https://youtu.be/jZ6hZNMa-TE
We successfully attracted funding from the German Research Foundation (DFG) for the project “Reinforcement Learning for Automated Flowsheet Synthesis of Steady-State Processes”
An international research team with participants from several universities including Prof. Dr. Dominik Grimm has proposed a standardized registry for artificial intelligence (AI) work in biomedicine to improve the reproducibility of results and create trust in the use of AI algorithms in biomedical research and, in the future, in everyday clinical practice. The scientists presented their proposal in the scientific journal “Nature Methods”.