Data Analysis and Artificial Intelligence

In our »Analytics and Computing« division, we develop methods and algorithms for analysing large, complex data sets – drawing on an interdisciplinary approach combining mathematics, statistics and computer science. We combine proven statistical methods with modern approaches from Artificial Intelligence and Machine Learning. Working closely with experts from various fields of application – such as healthcare, the automotive industry and manufacturing – we develop data analysis and visualisation solutions that are scientifically sound and practical.

At the same time, we are working to make AI and Machine Learning models more efficient, robust and scalable. This is because increasing model complexity requires powerful infrastructure and intelligent optimisation strategies. Using High Performance Computers and GPU clusters such as »Styx« as well as HPC technologies (including BeeGFS and GPI), we develop distributed and scalable methods that accelerate computationally intensive learning processes, for example through optimised and asynchronous training methods. In this way, we are laying the foundation for making AI solutions reliably usable in real-world applications.