Munich and Helmholtz Zentrum München Join the ELLIS Unit Network to Shape AI in Europe
The European Lab for Learning and Intelligent Systems (ELLIS) has added ELLIS Munich to its network of independent units performing outstanding basic research in artificial intelligence (AI) and machine learning (ML). The newly-created ELLIS Munich unit, officially presented in a virtual launch event on September 15th, integrates expertise from Helmholtz Zentrum München, the Technical University of Munich (TUM) and draws on the strengths of the Munich Data Science Institute and the Helmholtz AI network.
"The ELLIS Munich unit offers top expertise in applied machine learning, access to unique and relevant data, a nurturing ecosystem and the ability to generate industrial partnerships." says Fabian Theis (Helmholtz AI - Helmholtz Zentrum München) a co director along with Daniel Cremers) and Massimo Fornasier (TUM).
ELLIS Munich’s activities will cover four areas of expertise: foundations of machine learning (deep learning on graphs and time series, optimal control, knowledge graphs, novel training methods), biomedicine (with applications in human functional genomics, biomedical imaging and bioengineering, drug research and electronic health records), earth observation (focusing on elaboration of remote sensing data) and computer vision (with applications such as image restoration, multiple-view reconstruction, visual SLAM, dynamic scene understanding and multiple object tracking).
ELLIS brings together the best European AI researchers to ensure excellence and to be maximally competitive at the international level. ELLIS units are envisioned as new working environments where outstanding researchers are enabled to combine cutting-edge research with the creation of start-ups and industrial impact.
So far, the network includes 30 units from 14 different countries that work closely together in research, training and infrastructure.
<link ellis.eu - extern>https://ellis.eu</link>
<link www.ellismunich.ai - extern>www.ellismunich.ai</link>