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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.
Complexity has to pay off
To test code before deployment, large language models (LLMs) are now frequently used. A research team from BIFOLD has shown in a recent study that the enormous technical effort behind these LLMs does not always pay off. The work was presented at the 48th IEEE/ACM International Conference on Software Engineering (ICSE) 2026.
ICDE 2026 Conference Contributions
BIFOLD researchers will be present at ICDE 2026 in Montréal, Canada (May 4–8), contributing keynotes, research papers, a tutorial, and program committee work at one of the world's leading conferences in data engineering.
Rethinking AI architecture for molecular simulations
Classical machine learning models for molecular dynamics embed physical principles, such as energy conservation and equivariance, directly into their architectures. These inductive biases have long been seen as essential for reliable simulations. A new study challenges this assumption with a surprisingly simple approach.
ICLR 2026 Conference Contributions
BIFOLD researchers will participate in the fourteenth International Conference on Learning Representations (ICLR), contributing seven workshop papers and seven posters.
Second BIFOLD Data Systems retreat
Researchers from four BIFOLD research groups gathered on April 7- 8 for their second annual retreat, spanning expertise from classical database management to modern data science processes.
New AI Method Enables More Precise Simulation of Complex Molecules
A new machine learning method enables global atomic interactions in chemical systems to be represented more efficiently. This could allow chemical and materials science processes to be simulated more accurately in the future, potentially accelerating the development of new drugs, more efficient batteries, and more sustainable materials.
BIFOLD appoints new Deputy Directors
BIFOLD appoints Prof. Dr. Begüm Demir, Prof. Dr. Konrad Rieck and Prof. Dr. Alexander Meyer, as BIFOLD Deputy Directors. With this decision, BIFOLD strengthens its leadership team and underlines its commitment to advancing cutting-edge research in data-driven technologies and machine learning.
Memphis paper receives 2026 ACM SIGMOD Research Highlight Award
The SIGMOD community honors the research of BIFOLD researchers Arnab Phani and Matthias Böhm. Their work on eliminating the inefficient reuse of intermediate computations across multi-backend machine learning systems addresses a key challenge at the intersection of data engineering and ML.