Fraunhofer ISIT is the coordinator of the NeurOSmart project: research competencies include the development and integration of piezoelectric and ferroelectric materials for microelectronic and electromechanical applications. Within the project, Fraunhofer ISIT is involved in the development and fabrication of the scanning LiDAR system as well as AIScN-based ferroelectric multibit memories.

One of the primary research competences is the development of memory technologies in advanced node CMOS realizations. For this purpose, Fraunhofer IPMS has an innovative ferroelectric memory technology (FeFET). In the context of NeurOSmart, memory emulation is used, among other things, for software blocks to control the in-memory hardware blocks and to manage data streams.

The core competencies of the Fraunhofer IMS are the development of embedded software and AI, Smart Sensor Systems. The institute has developed an AIfES (Artificial Intelligence for Embedded Systems) - a platform-independent and constantly growing machine learning library in the C programming language. AlfES is also an important prerequisite for NeurOSmart for the development of the hardware platform for sensor and scanner control.

Fraunhofer IWU's area of expertise ranges from machine tools, forming, joining and assembly technology, precision engineering and mechatronics to digitalization in production and virtual reality in the context of mechanical engineering. As part of the project, the institute will evaluate the sensor system for applicability in an industrial environment.

Fraunhofer IAIS has research competencies in the areas of distributed learning, speech assistance systems and computer vision for autonomous driving. In this context, the institute has a powerful speech recognition system for automatic transcription and recognition of speech signals. Within the framework of NeurOSmart, the institute bundles its competencies for neural network training, among other things.