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C: BIFOLD/Michael Setzpfandt
BIFOLD Update| October 11, 2023

Photo recap: All Hands Meeting 2023

On October 9 and 10, 2023, BIFOLD welcomed the other Geman AI centers (ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, MCML, and the DFKI) in Berlin. The annual meeting featured guests, partners, visitors, and researchers from all over Germany. 

C: BIFOLD/Michael Setzpfandt
BIFOLD Update| October 10, 2023

AI centers are the foundation of the German AI ecosystem

On October 9th and 10th, 2023, the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin invited scientists from the university AI competence centers (BIFOLD, ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, and MCML) and the DFKI to Berlin to present and discuss the latest results of their research on the EUREF campus.

© Maximilian Dreyer/HHI
Explainable AI| October 04, 2023

AI - finally explainable to humans

As of today it remains difficult to understand how an AI system reaches its decisions. Scientists at the Fraunhofer Heinrich-Hertz-Institut (HHI) and the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin have collaborated for many years to make AI explainable. In their new paper the researchers present Concept Relevance Propagation (CRP), a new method for explainable AI that can explain individual AI decisions as concepts understandable to humans. 

Marco Barotti Corals BIFOLD Tokyo Biennale
© Tokyo Biennale
Machine Learning| September 23, 2023

CORALS at Tokyo Biennale 2023

CORALS is a kinetic sound sculpture by the Italian media artist Marco Barotti. The installation was created as part of the BIFOLD Artist in Residence Program and is now being exhibited at one of the largest art fairs in Asia.

© Max Planck Institute for the History of Science
Machine Learning| September 21, 2023

Peter-Haber-Preis for AI in historical sciences

Bachelor student Anika Merklein's award-winning poster uses AI to unveil secrets of early printing.

Klaus Robert Mueller machine learning IEEE International Workshop on Machine Learning for Signal Processing
© IEEE International Workshop on Machine Learning for Signal Processing
Machine Learning| September 19, 2023

33rd IEEE MLSP Workshop in Rome

Between September 17th and 20th, the 33rd annual "IEEE International Workshop on Machine Learning for Signal Processing" (MLSP) takes place in Rome. Prof. Klaus-Robert Müller, the director of BIFOLD, shared his expertise in machine learning through a keynote speech and panel discussions.

BIFOLD Update| September 06, 2023

First Neuroscience of the Everyday World Conference

From August 29th to 30th the "Neuroscience of the Everyday World" conference convened neuroscientists, researchers and experts to discuss the challenges and opportunities of continuous, multimodal brain measurements in naturalistic environments. The conference was organized, among others, by BIFOLD Research grouplead Dr. Alexander von Lühmann.

© BIFOLD
Data Management| September 05, 2023

VLDB honors NebulaStream demo

A perfect conclusion for the BIFOLD team at VLDB 2023 in Vancouver: The Nebula Stream team received an honorable mention for the best demo. In total, eleven researchers from the team of BIFOLD director Volker Markl participated in VLDB 2023 in Vancouver, one of the most important database conferences worldwide.

© P. Tözün
Big Data Engineering| August 28, 2023

Professor Dr. Pinar Tözün joins BIFOLD as a Visiting Scientist

Beginning on August 28, 2023, Professor Tözün will join BIFOLD as a Visiting Scientist. Above all, she will collaborate with Prof. Dr. Matthias Böhm and the Big Data Engineering group.

© BMBF/Hans-Joachim Rickel
Explainable AI| August 20, 2023

Gazing into the Black Box AI

Experts from Fraunhofer HHI and BIFOLD showcased an AI-assisted image evaluation technique at the BMBF Open Day. The demonstration gave an example of how Artificial Intelligence arrives at its decisions and sparked a dialogue on Explainable AI between professionals and attendees. Thanks to everyone who joined us in Berlin.