Munich Center for Machine Learning starts

Machine learning and artificial intelligence are key technologies for the digital economy and society. Leibniz Prize winner Prof. Daniel Cremers from the Technical University of Munich (TUM) is one of the coordinators of a new competence center dedicated to these topics. The Munich Center for Machine Learning (MCML), which is funded by the Federal Ministry of Research, will in the future network key expertise in data science, computer science and statistics.

With advances in computing power and new algorithms, computers can intelligently link data, pinpoint relationships, draw conclusions, and make predictions. This forms the basis for new diagnostic tools in medicine, or for self-controlling systems in logistics and industrial manufacturing.

Numerous outstanding scientists in the field of Artificial Intelligence (AI) are doing research in the Munich region. In the current “Times Higher Education Ranking” 2018, the TUM occupies the sixth place in AI research worldwide.

Daniel Cremers is an expert in deep-learning methods and neural networks in the area of ​​computer vision and co-coordinator of the now established competence center Munich Center for Machine Learning (MCML). In the MCML, 15 teams from the fields of data science, computer science and statistics from LMU and TUM have come together to further develop the methods of machine learning and pattern recognition.

For more information, please read here (German only)

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