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BIFOLD Update| August 28, 2026

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.

BIFOLD Update| August 28, 2026

Photo Recap: Cedalion Workshop at BIFOLD

In the context of the MoBI conference, about 140 researchers, engineers, and physicians joined BIFOLD on-site and online for a 1.5-day workshop on Cedalion, the new Python-based toolbox for multimodal fNIRS and DOT analysis.

© VLDB
BIFOLD Update| August 27, 2026

VLDB 2026 Conference Contributions

At VLDB 2026, taking place in Boston, USA, from August 31 to September 4, 2026, BIFOLD researchers will present eight research papers, three workshop papers, two demonstrations, a workshop keynote, and a panel contribution.

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BIFOLD Update| August 26, 2026

MoBI 2026: Five Posters by BIFOLD's IBS Lab

The IBS Lab, a BIFOLD research group led by Alexander von Lühmann, presents five posters and hosts a workshop on Cedalion, an optical brain imaging toolkit, at MoBI 2026, the 6th International Mobile Brain/Body Imaging Conference, August 25–28 in Berlin.

© BIFOLD / AI generated
Machine Learning| August 21, 2026

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.

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Cyber Security| August 11, 2026

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.

Data Management Data Systems Lab News| July 28, 2026

BIFOLD participated in SIGIR 2026

Researchers from BIFOLD and the University of Amsterdam presented ERASE, a new real-world-aligned benchmark for machine unlearning in recommender systems, at the 49th ACM SIGIR Conference in Melbourne, Australia, in 2026.

Dr. Alexander von Lühmann
Dr. Alexander von Lühmann
Machine Learning BIFOLD Update| July 28, 2026

Cedalion

A community-built, open-source Python toolbox that unifies established and cutting-edge fNIRS/DOT brain-imaging analysis — and connects it to the world of machine learning and data science.

BIFOLD Update| July 23, 2026

New Venture Capital for Ascléa

Berlin-based x-cardiac has a new name and a bigger mission. The company, co-founded by BIFOLD Deputy Director Alexander Meyer and known for AI tools that predict complications after heart surgery, is now called Ascléa.  

© Hector Fellow Academy
Machine Learning BIFOLD Update| July 23, 2026

AI for the Sciences

The greatest potential of artificial intelligence may lie not only in solving existing tasks more efficiently, but in fundamentally transforming science itself. The Hector Fellow Academy’s new video profile, “AI in Science: How AI Is Changing the Questions We Ask – Klaus-Robert Müller,” explores how artificial intelligence is enabling new discoveries and why it is poised to shape the future of research for years to come.