NEWS
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.
EVENTS
Lunch Talk: Dr. Mina Jamshidi "Rethinking Explainability in Digital Pathology: Beyond Heatmaps"
Join us for the next Lunch Talk on 13 May. This time, Mina Jamshidi from the Machine Learning Group will talk about "Rethinking Explainability in Digital Pathology: Beyond Heatmaps". In her talk Mina will present a research program that consolidates explainable AI in computational pathology by moving beyond fragmented attention heatmaps toward systematic validation, biologically meaningful prognostic signals, and symbolic rule-based reasoning — reframing xAI as a rigorous, quantitative interface between data-driven models and biological insight.
BLISS AI Speaker Series #33: "AI and Human Agency"
As AI systems become integrated into every aspect of our lives, a key challenge is to ensure that they are built to empower, rather than to disempower humans.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Nikolai Merkel, Ruben Mayer, Volker Markl, Hans-Arno Jacobsen
EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
Johann-Ludwig Herzog, Mathis Jürgen Adler, Leonard Hackel, Yan Shu, Angelos Zavras, Ioannis Papoutsis, Paolo Rota, Begüm Demir
BigEarthNet.txt: A Large-Scale Multi-Sensor Image-Text Dataset and Benchmark for Earth Observation
Leonardo Medrano Sandonas, David Balcells, Anton Bochkarev, Jacqueline M. Cole, Volker L. Deringer, Werner Dobrautz, Adrian Ehrenhofer, Thorben Frank, Pascal Friederich, Rico Friedrich et al.
Perspective: Towards sustainable exploration of chemical spaces with machine learning
GRADUATE SCHOOL
Based on a highly competitive application process, the BIFOLD Graduate School offers an innovative fast-track PhD Program for students holding a bachelor’s degree, as well as a PhD Program for students with a master’s degree.