EVENTS

May 13, 2026 | BIFOLD, FR701, 7th floor (Franklinstr. 28-29, 10587 Berlin)

Lunch Talk: Dr. Mina Jamshidi "Rethinking Explainability in Digital Pathology: Beyond Heatmaps"

Join us for the next Lunch Talk on 13 May. This time, Mina Jamshidi from the Machine Learning Group will talk about "Rethinking Explainability in Digital Pathology: Beyond Heatmaps". In her talk Mina will present a research program that consolidates explainable AI in computational pathology by moving beyond fragmented attention heatmaps toward systematic validation, biologically meaningful prognostic signals, and symbolic rule-based reasoning — reframing xAI as a rigorous, quantitative interface between data-driven models and biological insight.

 

May 19, 2026 | C130, Institut für Chemie, Technische Universität Berlin Chemiegebäude, Str. des 17. Juni 115, 10623 Berlin

BLISS AI Speaker Series #33: "AI and Human Agency"

As AI systems become integrated into every aspect of our lives, a key challenge is to ensure that they are built to empower, rather than to disempower humans.

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*Data collected from 2020 onwards.

PUBLICATIONS

Johann-Ludwig Herzog, Mathis Jürgen Adler, Leonard Hackel, Yan Shu, Angelos Zavras, Ioannis Papoutsis, Paolo Rota, Begüm Demir

BigEarthNet.txt: A Large-Scale Multi-Sensor Image-Text Dataset and Benchmark for Earth Observation

April 01, 2026
https://doi.org/10.48550/arXiv.2603.29630

Leonardo Medrano Sandonas, David Balcells, Anton Bochkarev, Jacqueline M. Cole, Volker L. Deringer, Werner Dobrautz, Adrian Ehrenhofer, Thorben Frank, Pascal Friederich, Rico Friedrich et al.

Perspective: Towards sustainable exploration of chemical spaces with machine learning

March 31, 2026
https://doi.org/10.48550/arXiv.2604.00069

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.

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INSTITUTIONAL PARTNERS

ASSOCIATED PARTNERS