News Archive

Alexander Koller has been elected a Fellow of the Association for Computational Linguistics, the world’s largest professional society for computational linguistics. Among the eleven new ACL Fellows this year, the Saarbrücken professor of computational linguistics is the only European.

How do we create AI systems that facilitate learning rather than dictating it? Meet Saarland University’s LaLa Lab. Directed by Professor Tomohiro Nagashima, LaLa Lab explores how we learn, how AI can improve learning, and how to make sure learners keep their agency in a society where automated learning is starting to become the status quo. To achieve this, the lab stands at the intersection of human-computer Interaction, the learning sciences, cognitive science, and psychology.

Researchers at the Max Planck Institute for Informatics develop techniques for creating photorealistic, three-dimensional full-body and head avatars. Realistic digital avatars are becoming increasingly relevant, for example in virtual and augmented reality applications, video conferencing, films and computer games, or in medicine. Researchers at the Max Planck Institute (MPI) for Informatics in Saarbrücken, Germany, are now presenting two novel methods at two of the world’s leading computer graphics [...]

In keeping with a long-standing tradition in Saarbrücken computer science, the student councils of Computer Science and of Language Science and Technology (LST) jointly organized a torchlight procession to honor Professor Doctor Alexander Koller, supported by the Freunde der Saarbrücker Informatik (FdSI) and Friends of LST. The aim was to convince the professor, who has received a call from another university, to continue his teaching and research at Saarland University.

Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that the reactions of humans and large language models (LLMs) to complex or misleading program code significantly align, by comparing brain activity of study participants with model uncertainty. Building on this, the team developed a data-driven method to automatically detect such confusing areas in code — a promising step toward better AI assistants for software development.

We are delighted to announce that the 2025 ACM SIGBED Technical Achievement Award has been awarded to Professor Reinhard Wilhelm of Saarland University. This award, established by ACM SIGBED in 2022, recognizes significant and sustained contributions to research and system implementations in embedded, real-time, and cyber-physical systems. It honors technical achievement whose impact has been long-lasting and deeply felt across the SIGBED-relevant domains.

On November 5 and 6, 2025, leading AI researchers from across Germany and France gathered in Saarbrücken for the annual All Hands Meeting of the German [...]

At its meeting on November 20, 2025, at the Kesselhaus in the Lanolinfabrik, DFKI’s new premises in Berlin, the DFKI Supervisory Board elected Prof. Dr. Oscar-Werner Reif, Sartorius AG, as its new Chairman. The previous DFKI Supervisory Board Chairman, Dr. Ferri Abolhassan, Deutsche Telekom AG, stepped down after completing his three-year term. His chairmanship further expanded DFKI’s transfer business in a highly dynamic environment. The Supervisory Board elected Dr. Lutz Rumkorf, Ministry [...]

AI assistants have rapidly become part of everyday life – whether through our interactions with large language models like ChatGPT or in medical applications that help interpret complex datasets. Yet, despite their widespread use, AI systems still make surprisingly simple mistakes that persist even after extensive training. They also lack the ability to think logically or to truly ‘understand’ nested input. For Michael Hahn the problem lies in the architecture itself.

Outstanding research performance in academia is often measured by how frequently a scholar’s work is cited by others. Each year, the ‘Highly Cited Researchers’ list recognizes leading experts in specific fields whose publications are among the most frequently cited worldwide. This year, three researchers from Saarland University have once again earned a place on the prestigious list, reflecting their exceptional academic reputation.

The fellowship is in the area of Algorithms and Optimization. Yonggang Jiang is now supported by the Google PhD Fellowship. This program recognizes and supports outstanding doctoral candidates conducting innovative research in computer science and related fields. The financial support can run for up to two years; a reviewal will be conducted after one year.

Toghrul Karimov, a graduate student in Joël Ouaknine’s Foundations of Automatic Verification Group, has received the 2025 Ackermann Award for his PhD thesis, “Algorithmic Verification of Linear [...]

Artificial Intelligence (AI) is redefining how products are conceived, designed, and brought to market. In a comprehensive joint study, Accenture, the German Research Center for Artificial Intelligence (DFKI), and the Fraunhofer Institute for Software and Systems Engineering ISST explore how AI can accelerate and transform new product development. The white paper outlines a scalable framework for the adoption of AI across engineering domains and disciplines, bridging the gap between isolated pilots and enterprise-wide transformation.

Wird die in der EU diskutierte Chatkontrolle bald durch Hintertüren die Privatheit unserer Nachrichten untergraben? Verändern KI-Webbrowser wie die von Perplexity und OpenAI gerade das Internet? Und wird Deutschland mit dem neuen Hochleistungsrechner „Jupiter“ doch noch zur Supercomputing-Nation? Um bei der rasanten Entwicklung neuer Technologien durchzublicken, ist fundierter Journalismus gefragt. Die Medien sollten der breiten Öffentlichkeit vermitteln, welch enorme gesellschaftliche Relevanz [...]

When writing program code, software developers often work in pairs—a practice that reduces errors and encourages knowledge sharing. Increasingly, AI assistants are now being used for this role. But this shift in working practice isn’t without its drawbacks, as a new empirical study by computer scientists in Saarbrücken reveals. Developers tend to scrutinize AI-generated code less critically and they learn less from it. These findings will be presented at a major scientific conference in Seoul.
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