Press Releases of Fraunhofer EMFT

Aiming to contribute to the reduction of the digital technologies' footprint via research and development, the Fraunhofer and Leibniz institutes cooperating within the framework of the Research Fab Microelectronics Germany (FMD for its acronym in German) are jointly establishing a cross-location competence center for resource-conscious information and communication technology (Green ICT @ FMD). The project, launched on August 1, 2022, is receiving 34 million euros in funding from the German Federal Ministry of Education and Research under the Green ICT initiative. The latter is in turn part of the German government's Climate Action Programme 2030.

On June 22nd, Tel Aviv University (TAU) and Fraunhofer EMFT with guests from Israeli governmental and public bodies, industry and academia, celebrated the opening of the Fraunhofer Innovation Platform for Sensors and Applied Systems at Tel Aviv University – FIP-SENS@TAU. FIP-SENS@TAU is a Fraunhofer-like research unit, embedded in the legal structure of TAU, with the mission to promote top level multi- and interdisciplinary sensor-related research and development.

The Netherlands Organisation for Applied Scientific Research (TNO) and Fraunhofer - through its High Performance Center “Secure Intelligent Systems” (LZSiS) - have joined forces for a strategic research collaboration in order to address areas from Industry 5.0. The first common projects are focusing on the topics secure data space connections, XR technologies for remote training and education as well as wearable sensor systems for occupational safety and health.

According to forecasts, the global market for medical wearables will reach around 94 billion US dollars in 2022. At this year's Sensor+Test trade fair, Fraunhofer EMFT will be presenting new approaches to solutions for medical wearables for the early detection of pressure ulcers, for measuring blood pressure and for monitoring vital parameters during infectious diseases. In addition to the corresponding sensor technology, the focus here is on secure data transmission and AI-based diagnostic tools for the possible early detection of diseases.