A hybrid-ai approach for competence assessment of automated driving functions

An increasing number of tasks is being taken over from the human driver as automated driving technology is developed. Accidents have been reported in situations where the automated driving technology was not able to function according to specifications. As data-driven Artificial Intelligence (AI) systems are becoming more ubiquitous in automated...

ViTroVo: in vitro assembly search for in vivo adaptive operator guidance: An artificial intelligence framework for highly customised manufacturing

Product customisation is a topic of growing interest in Smart Manufacturing. Allowing customers to design intended products brings additional challenges to the manufacturing task, such as the increase in flexibility of the assembly theatre, the compilation of assembly instructions for possibly unique products, and stress-related risks for human...

The semantic snake charmer search engine: A tool to facilitate data science in high-tech industry domains

The booming popularity of data science is also affecting high-tech industries. However, since these usually have different core competencies - building cyber-physical systems rather than e.g. machine learning or data mining algorithms - delving into data science by domain experts such as system engineers or architects might be more cumbersome...

Hybrid ai: white paper

Hybrid Artificial Intelligence combines the best of two worlds: the power of recent advances in deep learning with the possibility to explicitly model human knowledge in connected systems. Together, this new generation of AI becomes more controllable, explainable and fair, in line with European norms and values.

The Growing N-Gram Algorithm: A Novel Approach to String Clustering

Connected high-tech systems allow the gathering of operational data at unprecedented volumes. A direct benefit of this is the possibility to extract usage models, that is, a generic representations of how such systems are used in their field of application. Usage models are extremely important, as they can help in understanding the discrepancies...

The Semantic Snake Charmer Search Engine: A Tool to Facilitate Data Science in High-tech Industry Domains

The booming popularity of data science is also affecting high-tech industries. However, since these usually have different core competencies — building cyber-physical systems rather than e.g. machine learning or data mining algorithms — delving into data science by domain experts such as system engineers or architects might be more cumbersome...