Machine Learning and AI for the Sciences - Towards Understanding

Machine Learning and AI for the Sciences - Towards Understanding

Date Posted: 

November 30, 2017

Date Recorded: 

November 17, 2017


Klaus-Robert Müller
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  • Brains, Minds and Machines Seminar Series

Associated CBMM Pages: 


Klaus-Robert Müller, Technische Universität 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. In his talk, Müller will touch upon the topic of ML applications in the sciences, in particular in neuroscience, medicine and physics. He will also discuss possibilities for extracting information from machine learning models to further our understanding by explaining nonlinear ML models.  E.g. Machine Learning Models for Quantum Chemistry can, by applying interpretable ML,  contribute to furthering chemical understanding.  Finally, Müller will briefly outline perspectives and limitations.