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Machine learning in optical analytics encompasses a wide range of applications in which optical instruments and analysis methods are improved by self-learning algorithms. Application examples include the quantitative determination of material composition from complex spectra, fast real-time data analysis incorporating prior knowledge, or intelligent alarm triggers. Current challenges lie in the...

Date:Wed 13.11.2019 13:00 to 18:30

Lecture Hall @ HZB (BESSY II)

Albert-Einstein-Str. 15

12489 Berlin-Adlershof