NEWS
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.
EVENTS
BLISS AI Speaker Series #32: Scaling LLMs Across Languages
BLISS e.V. will discuss "Scaling LLMs Across Languages", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza.
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.
*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.
INSTITUTIONAL PARTNERS
ASSOCIATED PARTNERS
