Projects, FHNW School of Computer Science

The FHNW Institute of Interactive Technologies develops a marketplace for the open development of systems of artificial intelligence (AI). The marketplace allows connecting in-house AI pipelines with the AI pipelines of partner companies for collaboratively developing AI systems in a controlled and trusted manner.

The FHNW Institute of Interactive Technologies develops a new generation of interfaces that transform traditional surfaces like tables into interactive environments.

Thanks to machine learning algorithms, defects along the production chain of hybrid photon counting (HPC) detectors can be detected and eliminated early.

Application of state-of-the-art NLP models increases efficiency of third party patent monitoring in the nutrition and bioscience industry.

Buildings in Switzerland use about 40% of the country's energy. We are developing a system to create digital models of physical buildings to make the renovation process more efficient.

Swiss German is a difficult language to transcribe. Our project has resulted in an easy, commercially available tool for transcribing and translating Swiss German into Standard German.

Together with our project partners, we develop zero-shot learning and other machine learning tools for recognising pollen particles anywhere in the world. As a result, it will be easier to create reliable pollen weather forecasts.

A software infrastructure that enables efficient and robust pipeline processing of the vast amount of data in distributed processing sites.

When you build the world’s largest telescope, you end up collecting an astronomical amount of data. We help the international mega-science project SKAO manage its Big Data.

The FHNW Institute for Data Science is working on speech recognition technology to transform speech in various Swiss dialects to Standard German text.

The School of Engineering FHNW has developed a method to support operators of AXPO hydro power plants.

Application of state-of-the-art NLP models increases efficiency of third party patent monitoring in the nutrition and bioscience industry.

A software infrastructure that enables efficient and robust pipeline processing of the vast amount of data in distributed processing sites.

Machine learning methodology to detect, analyse and possibly predict solar flares from data provided by NASA's space telescope IRIS.