NEWS
Researcher Spotlight: Dr. Barış Büyüktaş
Petabytes of satellite data circle the Earth, locked in silos by legal and technical walls. Dr. Barış Büyüktaş is using federated learning to break them down, turning a scattered mountain of Earth observation data into a treasure trove for understanding our changing planet.
A benchmark for trustworthy clinical AI
A new study published in Nature Communications shows that today's pathology foundation models can be influenced by the origin of a tissue sample. Researchers at BIFOLD and Aignostics developed PathoROB, a first-of-its-kind benchmark to measure and reduce this bias, shaping how the next generation of pathology AI is built.
EVENTS
ELLIS Sites ICML Fest 2026
Ahead of ICML 2026, the ELLIS Unit Berlin hosts a local Pre-Fest spotlighting cutting-edge research from the Berlin–Potsdam AI community. Researchers with relevant ICML papers are warmly invited to present, exchange ideas, and connect. Registration required via Congeno.
AI26 – The Lamarr Conference
The Lamarr Institute is happy to welcome leading researchers, innovators, and decision-makers to AI26 – The Lamarr Conference.
As Artificial Intelligence continues to transform research, industry, and society at an unprecedented rate, the AI26 Conference brings together those shaping scientific foundations and those translating AI advances into tangible impact.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Gereon Dusella, Haralampos Gavriilidis, Volker Markl, Eleni Tzirita Zacharatou
Benchmarking Spatial Operations over Heterogeneous Data: The Case of Zonal Statistics
Yanqing Luo, Julius Hense, Niklas Prenißl, Andreas Mock, Klaus-Robert Müller, Thomas Schnake, Mina Jamshidi Idaji
Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
Marco Morik, Xiao Ruiting, Shinichi Nakajima, Stefan Haufe, Ismail Huseynov
Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
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.