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Artificial Intelligence (AI) plays a crucial role in digitization and future prosperity. However, AI-specific hardware is still underrepresented in university teaching, despite its growing importance in platforms from companies like Xilinx, NVIDIA, ARM, and Intel.
In Germany, AI-capable hardware is especially important due to privacy concerns with cloud-based data processing. Technologies like Industry 4.0, 6G, smart cities, autonomous driving, and IoT require edge computing to ensure sensitive data is processed locally.
Currently, university education barely covers AI hardware due to disciplinary separation. This project aims to create a hybrid, cross-university program combining theory, design, and application, with hands-on experience in chip production in Germany.
The project is supported by Leibniz Institute IHP (Frankfurt/O.), allowing students to work on real AI hardware.
Consortium members:
- University of Potsdam:
- Prof. Milos Krstic, Institute of Computer Science (overall project lead)
- Prof. Benno Stabernack, Institute of Computer Science
- Prof. Ulrike Lucke, Institute of Computer Science
- Prof. Oliver Korup, Institute of Environmental Science and Geography
- Technical University of Munich:
- Prof. Martin Schulz / Prof. Carsten Trinitis, School of Computation, Information and Technology
- Prof. Martin Werner, School of Engineering and Design
- Prof. Daniel Cremers, School of Computation, Information and Technology
Funding: 4 million euros from BMFTR (2021–2025), with 340,000 euros for this sub-project.
Funder
