We are excited to join SAFER – Vehicle and Traffic Safety Centre at Chalmers to contribute to a sustainable and safe transport system. We will aid SAFER in their vision towards zero accidents by providing our tools for data quality checking, robustness control, edge case analysis and anomaly detection available in the collaborative research projects at SAFER.
Asymptotic aims to discuss and help applying machine learning to research projects in the SAFER consortium and they plan to disseminate and utilize SAFER’s research by bringing knowledge to real-world use.
MALIN LEVIN, SAFER