This inventor holds 1 USPTO granted patent. Top assignee: Autonom8, Inc.. Active years: 2019.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019
Title: Innovations by Paresh Saxena
Introduction
Paresh Saxena is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of semantic textual information recognition. His innovative work has led to the development of a unique system that enhances the understanding of textual data.
Latest Patents
Paresh Saxena holds a patent for a "System and method for semantic textual information recognition." This system includes a memory configured to receive a plurality of text elements along with respective text element coordinates. The processor within the system is designed to identify these text elements on an information axis based on their coordinates. Additionally, it features a semantic clustering module that determines semantic clusters by calculating a proximity matrix using the text elements and a semantic data model. The system also includes a rank clustering module that generates rank clusters by ranking the semantic clusters. Furthermore, a machine learning module is incorporated to update the semantic data model based on the feature set. This patent showcases his innovative approach to processing and understanding textual information.
Career Highlights
Paresh Saxena is currently associated with Autonom8, Inc., where he continues to work on advancing technologies related to semantic recognition. His expertise in this area has positioned him as a valuable asset to his company and the broader field of innovation.
Collaborations
Paresh collaborates with Ranjit Padmanabhan, contributing to the development of cutting-edge technologies in their field.
Conclusion
Paresh Saxena's work in semantic textual information recognition exemplifies the impact of innovation in technology. His contributions are paving the way for advancements in how we process and understand textual data.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile