NEWS
Paper Highlight: Cedalion Tutorial
Researchers from BIFOLD / TU Berlin and Boston University have published a comprehensive tutorial on Cedalion, an open-source project that brings together analysis tools for multimodal neuroimaging, with a special focus on fNIRS and DOT data. The paper appeared on 13 August 2026 in the journal Neurophotonics. A hands-on community workshop follows on 24–25 August in Berlin and online.
AI Goes Phishing
BIFOLD study, co-authored by members of the Machine Learning and Security Group, shows AI-generated phishing emails are three times as effective as generic ones and cost next to nothing. The field experiment with 7,700 participants provides the first large-scale evidence of how cheaply and effectively language models can personalize phishing. The paper will be presented at the USENIX Security Symposium 2026.
EVENTS
Proteomics at the Frontier: Python Hearts, Tumour Maps and Better Blood Tests
If you want to watch biology in motion, watch the proteome: it shifts with disease, treatment, and time. Mass spectrometry provides a window onto this moving picture, which is getting dramatically better right now: new instruments quantify thousands of proteins in minutes, not hours, making population-scale and even routine clinical proteomics realistic for the first time, opening up new opportunities for drug discovery, therapy and diagnostics.
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.
*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
Carl Stadie, Ingmar Nitze, Begüm Demir, Martin Stefan Brandt, Guido Grosse
Bayesian evaluation of deep learning architectures and sensor modalities for remote sensing-based driftwood segmentation in the Mackenzie Delta, Arctic Canada
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.