NEWS
Symbolic XAI
Researchers at BIFOLD have been exploring how to make AI explain itself in the same way, people explain themselves. The team’s work focuses on making AI predictions as clear and intuitive as a human explanation.
Researcher Spotlight: Dr. Lukas Muttenthaler
What if AI could learn to see the world the way we do? BIFOLD PhD graduate Dr. Lukas Muttenthaler is pushing AI beyond raw performance, exploring representational alignment, where cognitive science meets computer vision to build machines that perceive more like humans.
EVENTS
kennedy+swan: The Red Queen Effect
Starting January 26, 2026, the foyer of the Rahel Hirsch Center will host a new exhibition dedicated to a topic central to research at BIH and Charité: artificial intelligence.
Lunch Talk: Leonard Hackel "Towards Efficient Foundation Models in Remote Sensing"
Leonard Hackel from the Big Data for Earth Observation and Remote Sensing Image Analysis group will talk about "Towards Efficient Foundation Models in Remote Sensing". In this talk Leonard Hackel will propose a soft mixture-of-experts masked autoencoder for remote sensing foundation models that more than doubles computational efficiency while maintaining competitive performance across downstream tasks and enabling scalable, cross-modal learning.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Carlos Enrique Muñiz-Cuza, Matthias Böhm, Torben Bach Pedersen
CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression
Olga Ovcharenko, Matthias Boehm, Sebastian Schelter
SemPipes -- Optimizable Semantic Data Operators for Tabular Machine Learning Pipelines
Jonas Möller, Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck
Hardware-Triggered Backdoors
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.