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For the Inventor, By the Inventor

San Jose, CA, United States of America

Chitrabharathi Ganapathy

USPTO Granted Patents = 10 

Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 32(Granted Patents)


Company Filing History:

goldMedal10 out of 1,066 
 
Servicenow, Inc.
 patents

Years Active: 2019-2024

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10 patents (USPTO):
1. 12141182 - Data structures for efficient storage and updating of paragraph vectors (2024-11-12),
2. 11880435 - Determination of intermediate representations of discovered document structures (2024-01-23),
3. 11586659 - Clustering and dynamic re-clustering of similar textual documents (2023-02-21),
4. 11423069 - Data structures for efficient storage and updating of paragraph vectors (2022-08-23),
5. 11403332 - Selectively generating word vector and paragraph vector representations of fields for machine learning (2022-08-02),
6. 11238230 - Persistent word vector input to multiple machine learning models (2022-02-01),
7. 10970491 - Incident matching with vector-based natural language processing (2021-04-06),
8. 10795923 - Selectively generating word vector and paragraph vector representations of fields for machine learning (2020-10-06),
9. 10606955 - Incident matching with vector-based natural language processing (2020-03-31),
10. 10459962 - Selectively generating word vector and paragraph vector representations of fields for machine learning (2019-10-29),

Title: Innovations of Chitrabharathi Ganapathy

Introduction

Chitrabharathi Ganapathy is a notable inventor based in San Jose, California. He has made significant contributions to the field of data structures and machine learning, holding a total of 10 patents. His work focuses on enhancing the efficiency of data management and information extraction.

Latest Patents

Ganapathy's latest patents include "Data structures for efficient storage and updating of paragraph vectors." This invention describes systems and methods for managing paragraph vectors for textual searching. The database contains records associated with identifiers, text strings, and timestamps. A look-up table correlates text strings with paragraph vectors and hashes, allowing for efficient retrieval of information. Another recent patent is "Determination of intermediate representations of discovered document structures." This patent involves analyzing documents to extract text and content structures, creating intermediate text representations for use in machine learning models.

Career Highlights

Chitrabharathi Ganapathy currently works at ServiceNow, Inc., where he applies his expertise in data structures and machine learning. His innovative approaches have contributed to advancements in the management of textual data and information retrieval.

Collaborations

Ganapathy collaborates with talented individuals such as Baskar Jayaraman and Aniruddha Madhusudan Thakur, enhancing the impact of his work through teamwork and shared expertise.

Conclusion

Chitrabharathi Ganapathy's contributions to the field of data structures and machine learning demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its applications in improving data management.

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