Our research areas are divided into three main groups. They are all connected together to focus on novel optimization methods and prototyping to validate new approaches.
- Machine Learning optimization techniques
- Main competences
- Development of new ML optimization technologies
- Acceleration of ML inference with hardware accelerators
- Development of ML models on FPGA
- Image processing and compression
- Side competences
- Sensor signal measurement
- Signal processing and feature extraction
- Sensor fusion
- Embedded System Design
- Embedded hardware design
- Embedded software design
- Rapid prototyping