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©BIFOLD
Machine Learning| December 01, 2025

Rethinking how models "see"

Congratulations to BIFOLD researchers Tom Burgert, Oliver Stoll, and Begüm Demir from TU Berlin, and Paolo Rota from the University of Trento. They published a new study, that revisits a central claim in computer vision: so-called convolutional neural networks (CNNs) primarily rely on texture, rather than object shape, to recognize images. The publication was accepted as an oral presentation at NeurIPS 2025.

© BIFOLD / Setzpfandt
Explainable AI Machine Learning| November 28, 2025

Photo recap: AI in Medicine Workshop

Charité and BIFOLD hosted the “AI in Medicine” workshop in Berlin (Nov 24 - 25, 2025), bringing together leading experts on clinical AI, gene regulation modelling, medical LLMs and explainable AI to foster interdisciplinary collaboration between research and clinical practice.

BIFOLD Update| November 27, 2025

NeurIPS 2025 Conference Contributions

NeurIPS 2025 will be held in Mexico City and San Diego from November 30 to December 7, uniting leading experts in machine learning and computational neuroscience. BIFOLD is represented with 18 contributions, and one researcher has been recognized as a Top Reviewer.

© Amari
BIFOLD Update| November 19, 2025

Honorary Doctorate for Shun-ichi Amari

The TU Berlin has awarded an honorary doctorate to the eminent Japanese scientist Prof. Shun-ichi Amari in recognition of his groundbreaking contributions to the mathematical foundations of Artificial Intelligence. The honorary degree was presented to him by BIFOLD co-director Klaus-Robert Müller.

© Charité/BIFOLD
Machine Learning| November 14, 2025

AI Improves Lung Cancer Diagnostics

An interdisciplinary research team from BIFOLD (Berlin Institute for the Foundations of Learning and Data), Technische Universität Berlin, Universitätsklinikum Köln, Charité - Universitätsmedizin Berlin, the AI company Aignostics, and Ludwig Maximilians University Munich (LMU) has developed a novel AI-based method to more accurately predict the survival of lung cancer patients.

© Google DeepMind/BIFOLD
Machine Learning| November 13, 2025

When AI “thinks” like us

A team of researchers from BIFOLD, Google DeepMind, Max Planck Institute for Human Development and Max Planck Institute for Cognitive and Brain Sciences developed a new approach for image processing models, „AligNet“, that for the first time integrates human semantic structures into neural image processing models, bringing the visual understanding of these computer models closer to that of humans. Their publication „Aligning Machine and Human Visual Representations across Abstraction Levels“ has now been published in the prestigious scientific journal „Nature“.

BIFOLD Update| November 12, 2025

Highly Cited 2025: Recognition for Müller and Samek

BIFOLD Co-Director Klaus-Robert Müller and Fellow Wojciech Samek (Fraunhofer HHI) have been included in the 2025 Highly Cited Researchers™ list, recognizing the broad impact of their interdisciplinary work.

© Esders
BIFOLD Update| November 11, 2025

Researcher Spotlight: Dr. Malte Esders

Dr. Malte Esders refines Machine Learning Force Fields to make molecular simulations both faster and more faithful to physics.

© Wressnegger
BIFOLD Update| November 10, 2025

Christian Wressnegger joins BIFOLD as Junior Fellow

The computer scientist Prof. Dr. Wressnegger from Karlsruhe Institute of Technology strengthens BIFOLD’s expertise at the intersection of artificial intelligence, data management, and IT security.

© Felix Noak
BIFOLD Update| November 07, 2025

BIFOLD Fellow Giuseppe Caire Receives Prestigious ERC Synergy Grant

An international team led by TU Berlin’s Professor Giuseppe Caire has received an ERC Synergy Grant worth €10 million. Together with Andrea Alù, Marco di Renzo, and Christoph Studer, the researchers will develop a new, energy-efficient approach to wireless communication.