Research Group Neuromorphic Computing
The Neuromorphic Computing Group develops advanced neural-network based algorithms, software libraries, and systems with the new generation of computing chips – brain-inspired neuromorphic sensing and computing hardware. We focus on perception, motion planning, and control for robotic actuators with applications in life sciences: healthcare, agriculture, food processing, and smart environments. We follow a human-centered design approach to develop new generation of physical AI systems that are power-efficient, adaptive, and safe.
- Neuromorphic computing hardware and algorithms
- Event-based vision
- Robotics: Motion planning, control, SLAM
- Efficient machine learning and AI
- Dynamical systems, cognitive architectures
- Assistive robotics in healthcare, agriculture, food processing, smart environments
- Machine vision in healthcare, agriculture, food processing, smart environments
- Continual learning and adaptive systems
- Robot safety, human-robot interaction
Optimization of online education systems with reinforcement learning
The research question we tackle in this project is "Can we simultaneously increase student engagement and retainment by optimizing the order of exercises in online education courses?". To achieve this goal, we develop new algorithms to measure student engagement and retainment. We then evaluate reinforcement ...
Employing Natural Language Processing to identify inconsistencies in companies’ non-financial communication
NLP &ML tools for Swiss asset managers and owners for identifying inconsistencies in companies’ financial and non-financial communication