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DEBS 2026 Best Paper Award
Congratulations to the BIFOLD researchers Ariane Ziehn, Finn Glück, Philipp Emanuel Meran, Steffen Zeuch, and Volker Markl, who have been awarded the DEBS 2026 Best Paper Award for their research paper "KRAKEN: Joint Optimization of Operator Placement and Communication for Distributed Stream Processing."
BIFOLD participates in the Web Conference´26
Researchers from Aalborg University and a BIFOLD researcher recently presented their paper on “Evolving Proxy Kills Drift: Data Efficient Streaming Time Series Anomaly Detection,” at the ACM Web Conference 2026 in Dubai, United Arab Emirates. The paper introduces DESS, a data-efficient framework for anomaly detection in streaming time series, co-authored by BIFOLD Co-director Volker Markl.
BIFOLD Contributes to ICML 2026
Twelve papers co-authored by BIFOLD researchers at the Forty-Third International Conference on Machine Learning (ICML 2026), held in Seoul, Korea, from July 6 to 11. Among them, one paper on Hamiltonian flow maps received a Spotlight award.
Researcher Spotlight: Dr. Barış Büyüktaş
Petabytes of satellite data circle the Earth, locked in silos by legal and technical walls. Dr. Barış Büyüktaş is using federated learning to break them down, turning a scattered mountain of Earth observation data into a treasure trove for understanding our changing planet.
A benchmark for trustworthy clinical AI
A new study published in Nature Communications shows that today's pathology foundation models can be influenced by the origin of a tissue sample. Researchers at BIFOLD and Aignostics developed PathoROB, a first-of-its-kind benchmark to measure and reduce this bias, shaping how the next generation of pathology AI is built.
Photo recap: LNDW 2026
On June 6, 2026, four members of the Berlin AI Square (BIFOLD, PTB, DFKI, and Fraunhofer HHI) joined forces at the Lange Nacht der Wissenschaften to showcase what the network achieves: an interactive LLM workshop and a well-attended Science Slam.
Photo recap: AI to accelerate scientific understanding
From May 26–29, 2026, ELLIS Unit Berlin and BIFOLD hosted the workshop "AI to accelerate Scientific Understanding" at the Forum Digital Technologies in Berlin, exploring how explaining and interpreting AI models can advance discovery across molecular science, medicine, geoscience, and beyond.
BIFOLD Research Reveals a Blind Spot in Software Security
Malicious code need not be concealed within software itself. It can be embedded in seemingly harmless documentation. BIFOLD researchers demonstrate how large language models can hide executable functionality in natural-looking files, enabling difficult-to-detect attacks during the software build process. Presented at ACM AsiaCCS 2026.
Berlin Summer School of AI and Society
How do you design AI systems that act autonomously while remaining safe, transparent, trustworthy, and accountable? Join the 2026 Berlin Summer School of Artificial Intelligence and Society in Berlin to explore this question. Places are limited to 50. Applications close June 30, 2026.
SIGMOD/PODS 2026 Conference Contributions
At the 2026 ACM SIGMOD/PODS Conference, held in Bengaluru, India, from May 31 to June 5, 2026, BIFOLD researchers will present two papers and receive two prestigious individual awards.