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Reflections from the workshop “AI-based Methods for the Humanities”
From September 23 to 24, 2025, the workshop "AI-based Methods for the Humanities" explored how AI-based methods can advance research into history, culture, and language. The event was organized by the Max Planck Institute for the History of Science and BIFOLD.
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.
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.
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.
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.
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.
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“.
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.
Researcher Spotlight: Dr. Malte Esders
Dr. Malte Esders refines Machine Learning Force Fields to make molecular simulations both faster and more faithful to physics.
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.