On June 19, 2025, the Faculty of Computer Science of TU Dresden invites interested people to join their 19th project show. ScaDS.AI Dresden/Leipzig is thrilled to once again present interesting research projects to students, colleagues and experts from science and industry at OUTPUT.DD. Learn more about the event on the official website.

Projects

Living Lab

Image recognition, language comprehension, data analysis and much more: artificial intelligence (AI) accompanies us in many areas of our daily lives. But what can AI really do? ScaDS.AI Dresden/Leipzig answers this question in the Living Lab (APB-1020). A wide range of demonstrators will be used to show what cutting-edge AI research at TU Dresden looks like. The topics range from VR flood simulations and the multicut problem to machine learning on smartphones with asanAI!

GPTKB – Massive Knowledge Extraction From the GPT Language Model

Large language models (LLMs) have greatly advanced artificial intelligence (AI) and natural language processing (NLP). In addition to their ability to perform many different tasks, their great success lies in the fact that they have a lot of factual knowledge. For years, researchers have always been interested in how much these models really “know”, but previous methods only work with small, pre-selected data, which leads to an “availability bias” (Tversky and Kahneman), meaning that researchers often only discover what they already expected – and may miss a lot.

To solve this problem, we have developed a new method with which we can systematically and comprehensively capture the knowledge of an LLM. To do this, we ask it many questions and intelligently summarize the answers. As a test run, we used GPT-4o-mini to create GPTKB – a huge collection of knowledge with 101 million facts about 2.9 million subjects. Best of all, we did the whole thing for just 1% of the cost of previous projects! GPTKB is a significant step forward in two areas: First, it helps to better understand how LLMs “think” and what facts they know. Secondly, it shows new, efficient ways to create large knowledge collections.

asanAI: Machine Learning made easy

asanAI allows you to experiment with Machine Learning without any prior knowledge. You can train on your own images, or even webcam data, without ever leaving the browser. You can also use CSV files, or any arbitrary tensor data. With a click of your mouse, you are able to add or remove layers or change their settings. asanAI is an almost complete graphical user interface to TensorFlow.js.

Klartext: A tool to generate texts in easy language!

It is estimated that between 10 and 17 million people in Germany have reading difficulties, including functional illiterates and people with reading and writing disorders and mental impairments. In the course of internationalization, the number of non-native speakers has also increased in recent years. All of these people could benefit from texts written in easy-to-understand language. The “Klartext” project makes this possible. We invite you to get to know the Klartext project. Under the lead of Prof. Michael Färber, a software was developed that makes it possible to translate (scientific) website content into easy-to-understand language. Target groups include the general public, journalists, students and academics as well as experts from industry.