Will AI replace scientist? On the changes AI will make in science

Lecturer: Dr. Michael Färber (ScaDS.AI, TUD)

Science is producing knowledge at a pace no human can follow. The challenge is no longer access to data, but uncovering meaningful insights. Knowledge graphs help by structuring complex information, while large language models (LLMs) provide reasoning to connect the dots. Together, they enable systems that can analyze millions of research papers, extract evidence-based insights, and turn scattered knowledge into understanding. This lecture will explore how the combination of knowledge graphs and LLMs is changing the way we work with scientific literature and what this means for the future role of AI—and of scientists themselves.