NEWS
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“.
EVENTS
kennedy+swan - "The Red Queen Effect"
New technologies make it possible to collect, visualize, and analyze data from inside the human body. kennedy+swan explore how machines are being trained to recognize and classify human tissue and to diagnose potential diseases using an artificial medical gaze.
BIFOLD Colloquium 14/2025
AI is reshaping neurosurgery—from smarter diagnostics to real-time surgical guidance. Dietmar Frey explores how supervised, unsupervised, reinforcement, and generative learning are driving progress in image analysis, outcome prediction, and precision surgery. He also addresses key hurdles like trust, validation, and data diversity.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
M. Tsokanaridou, J. Hackstein, G. Hoxha, S.-A. Kefalidis, K. Plas, B. Demir, M. Koubarakis, M. Corsi, C. Leoni, G. Pasquali et al.
DA4DTE: Anagentic system for enhancing the accessibility of Digital Twins of Earth
H. Raum, T. Schnake, F. Hellmann, J. Kurths, C. Nauck
Explainable AI for analyzing the decision of GNNs at predicting dynamic stability of complex oscillator networks
Alexander Bauer, Klaus-Robert Müller
Noise & pattern: identity-anchored Tikhonov regularization for robust structural anomaly detection
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.
INSTITUTIONAL PARTNERS
ASSOCIATED PARTNERS
