Awarded Projects

DigiFarm is one of Norway's leading ag-tech startups, established in 2019 who's core focus is on developing deep neural network models in agriculture leveraging SatEO data.

Numerical weather prediction (NWP) plays a critical role for European societies to avoid weather-induced harm and improve benefits, e.g. in the agricultural sector or for renewable energies.

Accurate medium-range weather prediction is of critical importance for European societies to prevent weather-induced loss of life and economic damages.

This project focuses on developing AI-assisted features for the WebRatio low-code platform by fine-tuning a Large Language Model (LLM) to generate IFML models in XML format, leveraging WebRatio's proprietary codebase.

Thermodynamic modelling routinely guides the research and development (R&D) of new materials and the CALPHAD (CALculation of PHAse Diagrams) method is one of the approaches of choice because of its accuracy achieved with a modest computational effort.

This project aims to train a Medical-Vision Language Model (Med-VLM) that can process medical images and provide high-quality textual answers to medical questions in various languages.

Protein flexibility, motion and conformational transitions form the bedrock of biological processes.

Hybrid halide perovskites (PKs) are of immense importance due to their exceptional optoelectronic applications, including high-performance solar cells, optical quantum technologies, light-emitting devices, and photodetectors.

Emulsions, i.e. matching densities immiscible fluids, are extremely common in industrial and environmental applications. The interface separating the two phases modifies significantly the carrier phase, severely affecting the flow motion.