公开(公告)号：EP4198832A1

公开(公告)日：2023-06-21

申请号：EP22213730.9

申请日：2022-12-15

申请人： Tvarit GmbH

发明人： Srivastava, Aditya ,  Shekhawat, Sanjay ,  Gupta, Rushil ,  Kumar, Sachin ,  Galrani, Kamal ,  Prajapat, Rahul ,  Modukuru, Naga Sai Pranay ,  Agrahari, Rishabh ,  Barde, Nihal Rajan ,  Mondal, Arnab Kumar ,  Prasad, Prathosh Aragola

IPC分类号： G06N3/096 ,  G06N3/0455 ,  G06N3/0464 ,  G06N3/0442 ,  G06N3/094

摘要： A cross domain generalization system (200) for industrial artificial intelligence (AI) applications is disclosed. A target encoder subsystem (310) obtains target data from a target machine (204) product and generates lower dimensional data for obtained target data using a target artificial intelligence (AI) model. The generated lower dimensional data are corresponding to a plurality of target embeddings data (404). The target encoder subsystem (310) further applies the plurality of target embeddings data (404) into a source classifier AI model. A source classifier subsystem (308) predicts a quality of the target machine (204) product by generating class labels for each of the plurality of target embeddings data (404) based on a result of the classifier AI model. The goal of the present invention is to learn features or representations such that the correlation with a label space is similar both in source and target domains while being invariant of data distributions.