Dr. Arnaud de La Fortelle From Big Data to Smart-Data: Abstract As AI systems evolve toward greater autonomy and physical embodiment, the data problem grows more complex and critical. Traditional Big Data approaches fall short in enabling Agentic AI, where context-rich, decision-relevant information is essential. This talk explores a Smart-Data paradigm tailored for Agentic and …

Prof. Dr.-Ing. Steven Peters Automated Driving – Why, How and When?   Biosketch Prof. Dr.-Ing. Steven Peters has headed the Institute of Automotive Engineering at TU Darmstadt since 2022, focusing his research on automated driving of cars and trucks as well as on circular software defined vehicles which remain value stable. Previously, he worked at …

Prof. Meng Wang Stochastic Modelling of Risk and Perceived Safety for Automated Driving Brief Abstract Quantifying objective risk and user-perceived safety of vehicle automation is crucial in advancing the deployment of automated vehicles, especially when interacting with other road users. In this lecture, we reflect on the concept of risk and introduce computational models that …