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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.
How the Brain Detects Relevance — and How AI Learns from It
The human brain’s ability to filter relevant information from the vast amount of data it continuously receives is known as attention. Researchers at BIFOLD at the Technical University of Berlin, in close collaboration with scientists from the Kording Lab at the University of Pennsylvania, have developed a new brain-inspired AI model of visual attention.
BIFOLD establishes Advisory Board
BIFOLD has officially established its Advisory Board on May 1, 2026. Four internationally renowned researchers in machine learning and data management, Nesime Tatbul, Cecilia Clementi, Yannis Ioannidis, and Masashi Sugiyama, will from now on support the advancement of the institute.
Klaus-Robert Müller Among Top 20 Computer Scientists Worldwide
Research.com's 2026 ranking places BIFOLD Co-Director Prof. Klaus-Robert Müller at 3 in Germany. He also received the Computer Science in Germany Leader Award for the fourth time, following 2022, 2023, and 2025.
Reviewing Girls' Day 2026 at BIFOLD
At Girls' Day 2026, BIFOLD welcomed eleven young women for a hands-on introduction to computer science and IT security. Across three stations, they explored digital forensics, cryptography, and programming, guided by researchers from BIFOLD's MLSec Research Group.