The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 09, 2024
Filed:
Dec. 08, 2022
Tvarit Gmbh, Frankfurt am Main, DE;
Aditya Srivastava, Delhi, IN;
Sanjay Shekhawat, Nagaur, IN;
Rushil Gupta, Chandigarh, IN;
Sachin Kumar, Hesse, DE;
Kamal Galrani, Hessen, DE;
Rahul Prajapat, Frankfurt am Main, DE;
Naga Sai Pranay Modukuru, Stuttgart, DE;
Rishabh Agrahari, Mumbai, IN;
Nihal Rajan Barde, Sindhudurga, IN;
Arnab Kumar Mondal, New Delhi, IN;
Prathosh A.P, Mysore, IN;
TVARIT GMBH, , DE;
Abstract
A cross domain generalization system for industrial artificial intelligence (AI) applications is disclosed. A target encoder subsystem obtains target data from a target machine 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. The target encoder subsystem further applies the plurality of target embeddings data into a source classifier AI model. A source classifier subsystem predicts a quality of the target machine product by generating class labels for each of the plurality of target embeddings data 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.