"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.
Relevant links:
<link ellis.eu - extern>https://ellis.eu</link>
<link www.ellismunich.ai - extern>www.ellismunich.ai</link>