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     “Machine learning and AI for the sciences -- towards understanding”




  Thursday, 18. May 2017

    Video-Recording for any system with MP4-support


       - Video.mp4  (ca.475 Mb)


 15:15 – 16:30



                                                         Klaus-Robert Müller

                                                                 (TU Berlin)

Abstract :

In recent years machine learning (ML) and Artificial Intelligence (AI) methods have begun

to play a more and more enabling role in the sciences and in industry. In particular the advent

of large and/or complex data corpora has given rise to new technological challenges

and possibilities.


The talk will touch upon the topic of ML applications in sciences, here, in Neuroscience,

Medicine and Physics and discuss possibilities for extracting information from machine

learning models for furthering our understanding by explaining nonlinear ML models.


Finally briefly perspectives and limits will be outlined.



The future colloquium program can be found at:




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