How can AI be used in medical implants? The MERCUR project "Neural signal processing using artificial intelligence on an embedded platform" or Sp:AI:ke for short is tackling this question.

As part of the cooperation between the Faculty of Engineering and the American University of Armenia (AUA), the third Workshop on Collaborative Technologies and Data Science in Smart City Applications took place. In addition to the workshop, a summer school funded by the German Academic Exchange Service (DAAD) was organised under the title "Data Science for Smart Cities".

The AI Lab for Distributed and Embedded Systems explores how German companies can be provided with competencies in cutting-edge research findings in the field of artificial intelligence.

The LUTNet project, funded by the Federal Ministry of Education and Research, explores how pre-trained and pre-optimized neural networks can be used to develop AI solutions that run with high efficiency on FPGAs .

We demonstrate this potential through artifact detection in ECG heart data.

Due to the continuously increasing demand for computing performance, it is essential to find ways to reduce the energy consumption of computer systems, especially in the field of High-Performance Computing.

The FiPS project aims at creating a methodology to reduce the development effort.

In the Third Life Project, new artistic possibilities were explored through the "Smart Stage". Using intelligent stage technology and specialized equipment, a combined reality of virtual worlds and the real world was created to push creative boundaries beyond the limitations of physical reality.