BlogBasics Let us be clear: Why text simplification matters and what ML can do to help Vanessa Toborek, 15. November 2023 Text simplification is the key to written language accessibility. Discover what it entails, who benefits, and its link to readability assessment. Get an overview of ML approaches for automated text simplification....
BlogApplication What is it capable of and what does it cost? AI for the prediction of product features Andreas Pauly, 28. June 2023 How much does my custom-made product cost? These and other factors are essential for the purchase decision for a particular manufacturer. For the latter, however, the calculation is time-consuming. Machine learning can speed up this process tremendously....
BlogBasics Object Detection: How machines recognize objects Luise Weickhmann, Maximilian Otten, 31. May 2023 With the help of object detection methods, machines can be trained to recognize and locate objects. In this blog post, we provide an overview of this area of computer vision....
BlogBasics GraphSAGE: Predicting user behavior with ML-based recommendation services Anna Höpfner, 23. May 2023 GraphSAGE is a powerful ML method that is used to analyze large-scale and dynamically growing data with a graph structure. How exactly does the method, which can be used to provide personalized recommendations, work?...
BlogBasics Automatic classification of a publication network using a Graph Attention Network Maximilian Sauerzapf, 19. May 2023 Social networks are omnipresent these days. But how can information be extracted from them with the help of neural networks? To answer this question, we present the Graph Attention Network....
BlogBasics Graph Neural Networks: An introduction to the world of graph-based AI models Golo Pohl, 10. May 2023 Numerous everyday structures can be represented as graphs. Graph neural networks use their structure to collect information from neighboring nodes and to analyze the relationships between objects in graphs....
BlogBasics Linear discriminant analysis: A method for dimension reduction of classifiable data sets Fabian Gawellek, 19. April 2023 Large amounts of data are problematic when calculating ML algorithms. One solution lies in dimension reduction methods such as linear discriminant analysis (LDA), which reduces the number of data features while taking into account the existing class labels....
BlogBasics What are Support Vector Machines and how do they work? Till Schulz, 07. March 2023 The Support Vector Machine is a frequently used method for supervised learning, which is used in particular in the classification of image and text data. This blog post explains how it works....
BlogApplication Can I reduce my rent? Finding arguments in court decisions with Question Answering Birgit Kirsch, 08. February 2023 Research for case processing takes up a large part of lawyers' working time. The use of special Machine Learning methods, such as Question Answering, can reduce this effort....
