On 30 July 2026, more than 50 guests from research, industry and public administration came to DFKI Saarbrücken for the closing event of the ESCADE project. After three years, the consortium coordinated by Prof. Wolfgang Maaß presented how the energy demand of AI can be reduced by up to 90 percent – ...
Ahead of the closing event of the ESCADE project, Saarland University issued a press release on the results of the research consortium led by Prof. Wolfgang Maaß: how the electricity demand of AI can be cut by up to 90 percent through smaller models, automated network design and neuromorphic hardwar ...
Maxx Richard Rahman presented STT-LLM, a structural-temporal tokenization framework for adapting Large Language Models to longitudinal clinical profiles, in the Main Track of ICML 2026 in Seoul.
VISTA, a machine learning framework for dementia prognosis developed with DZNE, was presented as an oral presentation at IJCNN 2026, part of the IEEE World Congress on Computational Intelligence in Maastricht.
The new UN report on the environmental impact of AI has reignited the debate over data center resource consumption. Prof. Dr.-Ing. Wolfgang Maaß analyzes the study and points to ESCADE as a concrete approach for greater transparency and efficiency.
Hannah Stein presented our full research paper on decision support systems for cost-effective and energy-efficient AI operations in data centers at CAiSE 2026 in Verona, a conference with an acceptance rate of about 14% for full research papers.
Rishika Kumari presented ARGUS, a multimodal situational awareness framework for civil-military coordination in port disruption scenarios, at the 23rd International Conference on Information Systems for Crisis Response and Management in The Hague.
On 24 February 2026, Smart Service Engineering department, DFKI led by Prof. Wolfgang Maaß and the Luxembourg Institute of Science and Technology (LIST) held a joint workshop in Saarbrücken on resource-aware, robust and sustainable AI, agreeing on joint publications and funding proposals as next ste ...
Our paper "DiGAN: Diffusion-Guided Attention Network for Early Alzheimer's Disease Detection" received the Best Paper Presentation Award at the 1st AI for Healthy Aging and Longevity Workshop (AIAA) at AAAI 2026 in Singapore.
At Tag der Deutschen Einheit (Germany's Unity Day) celebrations in Saarbrücken, our department showcased Mentalytics, an AI system based on Large Language Models (LLMs) that predicts participants' mental states and detects actual pain and effort to perform exercises. Over 220 participants tested the ...
