NEWS
BIFOLD Contributes to COMBINE 2026
The COMBINE 2026 Workshop is a two-day event in Berlin where neuroimaging experts meet to discuss functional near-infrared spectroscopy (fNIRS) and magnetoencephalography (MEG) with optically pumped magnetometers (OPMs). The IBS Lab at BIFOLD contributes two talks to the event.
Researcher Spotlight: Dr.-Ing. Rudi Poepsel Lemaitre
Seeing enough without seeing everything: BIFOLD researcher Dr.-Ing. Rudi Poepsel Lemaitre on building privacy-aware databases that stay fast while revealing only what they must. A Researcher Spotlight on his summa cum laude PhD at TU Berlin.
EVENTS
BIFOLD Summer School 2026
The 2026 Berlin Summer School on Artificial Intelligence and Society invites researchers and practitioners to explore the parameters which have to be considered when AI systems are designed to act autonomously. The programme will focus on fundamental questions at the interface between autonomous systems, trustworthy machine learning, and robotics, as well as deployment in critical areas such as healthcare and scientific infrastructures.
AIDAQ - AI, Data and Quantum Summit 2026
AIDAQ is a major European event focusing on the latest trends in data, AI and quantum computing. The summit offers a unique opportunity to explore best practices and engage with top-level experts, decision-makers and innovation leaders from industry, politics and academia.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Binger Chen, Tacettin Emre Bök, Behnood Rasti, Volker Markl, Begüm Demir
Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent
Lennart Behme, Emil Badura, Leonard Geißler, Matthias Böhm, Ziawasch Abedjan, Volker Markl
FedAugment: Table Augmentation Search over Decentralized Data Repositories
Roshan Prakash Rane, Marco Simnacher, Manuel Pfeuffer, Marc-Andre Schulz, Nys Tjade Siegel, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sonja Greven, Kerstin Ritter et al.
ICON Decomposition: Auditing Deep Neural Networks with Multivariate Variance-based Concept-level Explanations
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.