Issaquah, WA, United States of America

Grace Edith Carlson

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Moat Metrics, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Grace Edith Carlson. Retrieved from https://idiyas.com/inventor/grace-edith-carlson

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Grace Edith Carlson: Innovator in Dataset Distinctiveness Modeling

Introduction

Grace Edith Carlson is an accomplished inventor based in Issaquah, WA (US). She has made significant contributions to the field of dataset distinctiveness modeling. Her innovative work focuses on systems and methods that enhance the understanding of intellectual property assets, particularly trademarks.

Latest Patents

Grace holds 1 patent for her invention titled "Dataset Distinctiveness Modeling." This patent discloses systems and methods for querying databases to identify datasets associated with intellectual property assets. The invention involves generating vector representations for trademarks and their associated goods and services. A machine learning model is trained to predict a distinctiveness score based on these vector representations and various similarity metrics.

Career Highlights

Grace is currently employed at Moat Metrics, Inc., where she applies her expertise in dataset distinctiveness modeling. Her work is instrumental in advancing the understanding of trademark distinctiveness in the context of intellectual property.

Collaborations

Some of Grace's notable coworkers include Melody Denise Litovkin and Ke Feng. Their collaborative efforts contribute to the innovative environment at Moat Metrics, Inc.

Conclusion

Grace Edith Carlson is a pioneering inventor whose work in dataset distinctiveness modeling is shaping the future of intellectual property analysis. Her contributions are vital to the ongoing development of systems that enhance trademark understanding and protection.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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