Escondido, CA, United States of America

Brenda Booth

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Brenda Booth. Retrieved from https://idiyas.com/inventor/brenda-booth

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Brenda Booth

Introduction

Brenda Booth is a notable inventor based in Escondido, California. She has made significant contributions to the field of machine learning through her innovative patent. Her work focuses on improving the efficiency of data labeling processes, which is crucial for training machine learning models.

Latest Patents

Brenda holds a patent titled "Taxonomy management for labeling data for training machine learning models." This patent addresses the challenges of managing data labeling taxonomies. It allows for the generation and execution of data labeling jobs by managing and reusing taxonomy versions. Instead of relying on manually managed configuration files, her system enables the registration, updating, and reuse of a single taxonomy across various labeling scenarios. This innovation supports chaining jobs and continual learning loops, enhancing the overall efficiency of machine learning training.

Career Highlights

Brenda is currently employed at Amazon Technologies, Inc., where she continues to develop her ideas and contribute to advancements in technology. Her work at Amazon has allowed her to collaborate with other talented individuals in the field, further enriching her experience and expertise.

Collaborations

Some of Brenda's coworkers include Alex Anto Chirayath and Marcelo Aberle. Their collaboration fosters a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Brenda Booth's contributions to machine learning through her patent demonstrate her innovative spirit and dedication to advancing technology. Her work not only enhances data labeling processes but also paves the way for future developments in the field.

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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