This inventor holds 2 USPTO granted patents. Top assignee: Google Inc.. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Mountain View, CA (US) (2022)
- San Jose, CA (US) (2023)
Company Filing History:
Years Active: 2022-2023
Title: Lin Ma - Innovator in Entity Correlation Systems
Introduction
Lin Ma is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of entity correlation systems, holding a total of 2 patents. His work focuses on advanced methods and systems for processing data related to multiple entities.
Latest Patents
Lin Ma's latest patents include innovative technologies for accelerated large-scale similarity calculation. These patents describe methods, systems, and apparatuses that utilize computer programs encoded on a computer storage medium. The technology involves obtaining data stored at a storage device using a first processor of an entity correlation system. The first processor generates data arrays that include parameter values for multiple entities, which are then processed at respective computing cells of a second processor. The second processor executes a correlation algorithm to concurrently process the data arrays, computing a correlation score based on calculations performed at the cells. This system determines relationships among entities based on the correlation score, indicating overlapping attributes or similarities among subsets of entities.
Career Highlights
Lin Ma is currently employed at Google Inc., where he continues to develop and refine his innovative technologies. His work has been instrumental in enhancing the efficiency and effectiveness of data processing systems.
Collaborations
Lin collaborates with Nathan Wiegand, contributing to the advancement of their shared projects and innovations.
Conclusion
Lin Ma is a key figure in the development of entity correlation systems, with a focus on improving data processing methodologies. His contributions through patents and collaboration with colleagues like Nathan Wiegand highlight his commitment to innovation in this field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
