How AI is revolutionizing science: Prof. Färber in Dresden!

How AI is revolutionizing science: Prof. Färber in Dresden!

In the fast-moving world of modern science, artificial intelligence (AI) is at the center of significant change processes. On October 16, 2025, Prof. Michael Färber will give his inaugural lecture at the Technical University of Dresden. This will take place from 4:40 p.m. to 6:10 p.m. in the Fritz Foerster Building and is dedicated to the topic "Will AI Replace Scientists? From Papers to Insights with LLMs & Knowledge Graphs".

Prof. Färber, who has been Professor of Scalable Software Architectures for Data Analytics at TU Dresden since April 2024, will show how knowledge graphs and Large Language Models (LLMs) are revolutionizing the use of scientific literature. During his time as head of the research group at the Center for Artificial Intelligence ScaDS.AI in Dresden and Leipzig, as well as as deputy professor for Web Science at KIT, Färber developed fundamental insights on this topic.

The role of knowledge graphs and LLMs

In his lecture, Färber will address the transformation of information into real knowledge. He will illustrate how knowledge graphs visually represent complex relationships and how LLMs are able to draw meaningful conclusions from data. Combined, these technologies enable the analysis of millions of research papers and provide evidence-based insights.

In addition, he will discuss the support that companies can receive when building knowledge graphs. A flexible pay-as-you-go model allows step-by-step development and adaptation to specific data requirements. This is supplemented by targeted instructions for the efficient integration of heterogeneous data sources.

Innovative technologies for better decisions

Another focus of his lecture is the use of retrieval-augmented generation, which acts as an interface between KGs and LLMs. This also involves translating natural language queries into structured SPARQL queries. These approaches help improve interoperability between knowledge graphs and LLMs to optimize data usage.

Specifically, Färber will explain how companies can gain a competitive advantage by fine-tuning LLMs for area-specific tasks. This also includes the integration of LLMs into existing software ecosystems, for example via conversational interfaces such as chatbots and virtual assistants. In addition, the need to validate and analyze LLM-generated content by comparing it with structured knowledge in knowledge graphs is addressed.

Outlook on the event

Prof. Michael Färber's lecture not only offers a platform for discussion about the potential that AI opens up in science, but also raises the question of the future of scientists in an increasingly automated world. Further information about the event and the speaker is available on the TU Dresden website: tud.de/exzellenz/uwil.

The synergy between AI and science forms a critical point in today's research, as shown by current trends and developments in the field of knowledge graphs and LLMs, as described in the Fraunhofer article. Through tailored data analysis solutions, companies can significantly improve their data-driven decision-making, which ultimately also promotes scientific progress.

For a detailed look at the latest developments in this area, it is worth taking a look at the comprehensive analysis arxiv.org.