Full logo and visualisation of team-driven data analysis

Survey results

In the summer semester 2020 and winter semester 2020/2021, we surveyed students of the University of Regensburg on Artificial Intelligence, Machine Learning and Big Data. The answers are now online!

To the results

Who we are

Knowledge creates² Data is a project at Universität Regensburg. It combines research efforts in Big Data, Artificial Intelligence and machine learning across all faculties.

Machine learning in enterprises

A growing number of companies in the Regensburg area optimize and enhance their productivity by using Artificial Intelligence – in conjunction with the universities of Regensburg.

Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data. Application to auditory category learning by trial and error.

The meetings of the Causal Inference Working Group serve as a platform for collaboration and discussion, focussing on causal data analysis in academia and industry. Using causal techniques, the group […]

Read MoreDiscovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data. Application to auditory category learning by trial and error.