Prof. Dr.-Ing. Jürgen Teich
Chair of Hardware Software Co-Design
- “Lightweight AI”
- Automated implementation of AI accelerators (FPGA-based or digital ASICs) for embedded systems (automotive, medical technology, industrial automation
- Design flows and tools for targeting microcontroller and programmable system-on-chip (SoC) architectures as well as application-specific instruction set processors (e.g., RISC-V with custom function units)
- Optimization of energy, performance, and resource requirements using compression techniques and hardware-aware neural architecture search (NAS)
- Hardware/software co-design
- AI processes for learning models in the design space exploration of hardware/software solutions
- AI-optimized chip power management