NEWS
How the Brain Detects Relevance — and How AI Learns from It
The human brain’s ability to filter relevant information from the vast amount of data it continuously receives is known as attention. Researchers at BIFOLD at the Technical University of Berlin, in close collaboration with scientists from the Kording Lab at the University of Pennsylvania, have developed a new brain-inspired AI model of visual attention.
BIFOLD establishes Advisory Board
BIFOLD has officially established its Advisory Board on May 1, 2026. Four internationally renowned researchers in machine learning and data management, Nesime Tatbul, Cecilia Clementi, Yannis Ioannidis, and Masashi Sugiyama, will from now on support the advancement of the institute.
EVENTS
06/2026 BIFOLD Colloquium
In his talk 'A Bird's-Eye View of Approximate Data Stream Analytics', Minos Garofalakis (TU Crete) will provide an overview of key algorithmic tools for streaming data analytics, with applications and challenges in real-time big data systems.
idalab Seminar, Kay Brosien, x-cardiac
Europe wants AI in healthcare, but is the regulatory system ready? Kay Brosien (COO, x-cardiac) shares lessons from certifying one of Europe's first adaptive AI devices under MDR.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Jakob Paul Zimmermann, Jim Berend, Georg Loho, Sebastian Lapuschkin, Wojciech Samek
Playing the network backward: A Game Theoretic Attribution Framework
Philip Naumann, Jacob Kauffmann, Klaus-Robert Müller, Grégoire Montavon
Reliable Modeling of Distribution Shifts via Displacement-Reshaped Optimal Transport
Nikolai Merkel, Ruben Mayer, Volker Markl, Hans-Arno Jacobsen
EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
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.