The FANTASTIC project combines AI-generated feedback with the pedagogy of learning and teaching and the didactics as three essential levels of support in order to improve the learning behavior and thus the and thus the academic success of students in a forward-looking way.
Identifying the needs and requirements of regional SMEs with regard to transformation processes (sustainability, circular economy, artificial intelligence, etc.)
The RO-BERTA project supports the Rosenheim hail defense by processing weather data from the German Weather Service as a "hail navigator" for the pilots.
The project aims to understand the effect of interfering, high-frequency coupling in a microphone installed in a mobile device (e.g. smartphone, tablet) and to reduce it by means of suitable measures.
Within proto_lab, a continuous data pipeline for discrete production/order processing will be developed within MS Azure by the end of 2023. This data pipeline must be expanded to include the collection of time series, primarily from the PDC level but also from the PDA level in 2024.
The Secure Ultra Low Power IoT Device (SULPI) complete solution offers a comprehensive IoT solution consisting of SULPI hardware, SULPI software and MoxyByte cloud. It is designed for the highest security standards, maintainability and expandability and can be adapted to specific customer requirements.
Additive manufacturing processes offer great potential for the design of complex components. The aim of the project is to overcome inhibitions and lack of basic knowledge in the field of digitalization and additive manufacturing are to be reduced.
The research project aims to explore new approaches for materials, processes and product design in order to realize resource-efficient component innovations with the help of additive manufacturing.