Article Towards safer and more reliable autonomous systems Autonomous vehicles rely on precise deep machine learning algorithms (DML) for their proper functioning, but conventional software engineering methods are insufficient to ensure their correct behaviour. In the research program SMILE, QRTECH tackled this challenge by developing a safety cage and cutting-edge [...]
Combining methods to predict failures in automotive power electronics
elin2023-01-23T13:48:13+00:00Article Combining methods to predict failures in automotive power electronics Powerful electronics will only be successful if users can depend on reliable functionality, quality, and lifetime. As a partner in the Europe-wide research initiative Intelligent Reliability 4.0 (iRel40), QRTECH are contributing to the target to increase customer satisfaction and [...]
Cutting-edge V&V for automated systems
elin2023-01-23T08:59:53+00:00Article Cutting-edge V&V for automated systems Verification and Validation (V&V) of automated systems are becoming more costly and time-consuming and numerous of security threats and cybersecurity attacks are targeting the industry. Since 2020 QRTECH is involved in the EU-funded VALU3S project, with the aim to design, implement, and evaluate state-of-the-art [...]
Quantum technologies into the light: meet four people with expert knowledge
elin2022-05-02T09:52:18+00:00Article Quantum technologies into the light: meet four people with expert knowledge Quantum technologies has gained significant attention in recent years and players across various fields are exploring its potential. Meet four of our skilled employees, with expert knowledge in one of the most challenging fields in physics. Nastaran [...]