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Scientific foundations in the fields of ML

Unit Mission

The ELLIS unit Berlin unit is hosted at BIFOLD. Its aim is to drive forward the following five priority research areas: (1) explainable AI, (2) scalable machine learning and data management, (3) machine learning for the sciences (in particular physics, chemistry and earth observation as well as medicine), (4) deep learning and (5) learning and inference with structure and priors.

Research Agenda

The goal of the ELLIS unit Berlin is to provide the scientific foundations in the fields of ML and, as a result, advance AI applications to yield a substantial benefit and progress for society, economy, and the sciences. The ELLIS unit Berlin collaborates closely with BIFOLD, MATH+ and multiple graduate schools (Graduiertenkolleg) and collaborative research centers, established by the German Research Foundation (DFG).
 
By cooperating with universities in the Greater Berlin Metropolitan Area (e.g., Charite, FU Berlin, HU Berlin, TU Berlin, University of Potsdam), scientific associations and societies as well as institutes of applied research (e.g., acatech, BBAW, DFKI, Fraunhofer, Helmholtz, Leibniz, Leopoldina, Max Planck, Max Delbrück Center) as well as with companies and startups, the ELLIS unit Berlin will help to spark innovation in a broad spectrum of applications in the sciences and industry.

Participating Institutions

More Information on ELLIS

Members

Coordination

Partner Institutions