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so thank you and my name is ching and im a phd student here at ddh zurich and today im going to talk about domain adaptation for data-driven for diagnosis so data-driven masters have been successfully applied on a large range of general tasks for example on the image classification task we have known that data-driven methods have been over outperforming human performance for several years and for example on a machine translation digital masters have enabled us to use our own phone to do machine translation and also on they enable us to do detection and segmentation in a more even more dynamic environments and with the help of data-driven methods we are even able to um help the doctors to diagnose eye diseases and all that still sounds promising but how about their performance on industry applications well weve heard some successful stories for example in deepmind they reduce the google data centers cooling bill by 40 and fujitsu reduces development time of past assembly machines b
