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IGARSS 2025 Conference Contributions
Researchers from BIFOLD’s RSiM and DIMA groups will present a total of six papers and organize a community-contributed session at the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2025) taking place from August 3rd to August 8th in Brisbane, Australia.
Effective transparency is inevitable for AI in intelligent decision support
As AI-powered fact-checkers become more common in newsrooms and social media platforms, the question is no longer if we should use them—but how. A new study from researchers at BIFOLD and the Karlsruhe Institute of Technology (KIT) reveals that the secret to trustworthy AI-supported fact-checking may lie not just in what they say, but how they explain themselves.
Researcher Spotlight: Dr. Arnab Phani
Dr. Arnab Phani is a Postdoctoral Researcher at BIFOLD, where he addresses data management challenges in modern AI. Building directly on his foundational PhD work at the DAMS Lab, his current research at the DEEM Lab focuses on enhancing runtime efficiency and fostering responsible data management practices across the entire machine learning pipeline - from data cleaning and validation to training and inference.
XAI 2025: Best Paper Award
Congratulations to BIFOLD researchers Simon Letzgus, Klaus-Robert Müller and Grégoire Montavon, whose publication: XpertAI: uncovering regression model strategies for sub-manifolds won the BestPaperAward at the 3rd World Conference on eXplainable Artificial Intelligence. BIFOLD researchers contributed on several levels to this leading conference on XAI.
Even the smallest number can make a big difference
Minor deviations in backend libraries like CUDA or MKL can cause identical AI models to produce different outputs. At ICML 2025, BIFOLD researcher Konrad Rieck showed how such subtle imprecisions can be exploited—posing a significant risk to AI system security.
Horses, airplanes, and the question of what explainable AI actually explains
The desire to peek inside the "black box" of AI, to understand what a model has learned and how it makes decisions, is nearly as old as AI itself. BIFOLD and the Fraunhofer Heinrich Hertz Institute (HHI) not only developed one of the first methods (Layer-wise Relevance Propagation (LRP)), to systematically explain the decisions of neural networks, they also played an important role in the past and future of XAI.
From Research to Practice
Barrie Kersbergen's PhD thesis on scalable session-based recommender systems powers real-time recommendations at one of Europe's leading retailers — impactful research with direct industry applications and open-source results, co-supervised by BIFOLD´s research group lead, Sebastian Schelter.
ICML 2025 Conference Contributions
BIFOLD researchers from the DAMS, DEEM, ML and MLsec groups will present several contributions at the 42nd International Conference on Machine Learning (ICML 2025). The conference will take place July 13–19, 2025, in Vancouver, Canada.
HPI appoints BIFOLD fellow Eleni Tzirita Zacharatou as professor
Prof. Dr. Eleni Tzirita Zacharatou, BIFOLD Junior Fellow and former postdoctoral researcher in the DIMA group, has been appointed W2 Professor at the Hasso Plattner Institute, University of Potsdam. Her research focuses on advancing spatial data science through systems and abstractions that support efficient, large-scale data analysis, with applications in sustainability, equity, and social dynamics.
NebulaStream Goes Open Source
NebulaStream, an extensible, high-performance streaming engine for multi-modal edge applications is now open-source. Developed for the Internet of Things by BIFOLD, DIMA, and DFKI researchers, this novel stream processing engine eases the analysis of sensor data in real-time. The source code is now freely available under an Apache 2.0 license.