News Archive

Starting next winter semester, students will be able to enrol on the new Master’s degree programme in Quantum Information Theory (QIT) at Saarland University. The M.Sc. programme, which is taught in English, allows students to acquire knowledge and skills at the intersection of mathematics, computer science and physics – equipping them with the tools required to work with the key technologies that will be shaping our digital future.

Artificial intelligence (AI) and digital tools are becoming increasingly indispensable in chemistry research laboratories and in industry. At Saarland University, two researchers from chemistry and computer science are working together to develop a teaching concept that will introduce chemistry students to data-driven methods early on in their studies and equip them with the tools to meet the changing demands of science and industry.

How do software developers respond when they come across code they do not intuitively understand? Neuropsychologists have now explored this question by recording brain activity alongside eye movements. A team of psycholinguists then compared the findings with established patterns from natural language processing and identified some surprising parallels. The interdisciplinary team from Saarland University and Chemnitz University of Technology has now published its study in Scientific Reports.

The Saarland Ministry of Economic Affairs, in cooperation with the Saarland Informatics Campus, has presented the Journalism Prize for Informatics. The German Informatics Society is a partner of the prize. The main prizes were awarded to a radio feature by Austrian Broadcasting (ORF), an article from the magazine “c’t – Magazin für Computertechnik” , and an online piece by Swiss Radio and Television (SRF). A special prize was awarded to an article in the children’s science magazine “GEOlino.”

Whether guiding robots across factory floors or managing complex logistics operations, AI systems designed for automated planning can solve such problems. Earlier planning systems relied largely on symbolic techniques such as logic. In recent years, however, more and more methods from machine learning have been integrated to improve system performance. Computer scientist Daniel Höller now aims to develop AI planning systems that bring together the advantages of both approaches.

Professor Andreas Keller and his team at Saarland University have been selected to join the Collaborative Research Network (CRN). This comes with funding from the Aligning Science Across Parkinson’s (ASAP) initiative, in collaboration with The Michael J. Fox Foundation for Parkinson’s Research (MJFF). The aim is to identify drug candidates that could help treat Parkinson’s disease.