This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2021-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021-2023
Title: Pei Wang: Innovator in Error Prediction Systems
Introduction
Pei Wang is a notable inventor based in Burnaby, Canada. He has made significant contributions to the field of error prediction within structured datasets. With a total of 2 patents, his work focuses on enhancing the accuracy of data management systems.
Latest Patents
Pei Wang's latest patents include innovative systems and methods for leveraging a collection of training tables to accurately predict errors within various tables. The disclosed systems utilize hypothesis tests to identify errors in tables and other structured datasets. For instance, these systems can generate a modified table from an input table by removing one or more entries. They also determine probabilities associated with whether the input and modified tables are drawn from a collection of training tables. By comparing these probabilities, the systems can accurately identify errors in the entries. This technology is applicable to different sizes and types of tables, allowing for the identification of common errors in input tables.
Career Highlights
Pei Wang is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in data management. His expertise in error prediction systems has positioned him as a valuable asset in the tech industry.
Collaborations
Pei Wang collaborates with Yeye He, who is also a talented professional in the field. Their partnership enhances the development of advanced technologies in error detection and data accuracy.
Conclusion
Pei Wang's contributions to error prediction systems demonstrate his commitment to improving data management technologies. His innovative patents and collaborations reflect his significant impact in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
