San Diego, CA, United States of America

Sean Rowan

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: **Sean Rowan: Innovator in Machine Learning Input Labeling**

Introduction

Sean Rowan is a prominent inventor based in San Diego, CA, known for his contributions to the field of machine learning. With a total of two patents under his name, Rowan has significantly impacted how data is labeled and processed for machine learning applications. His work aids in refining the efficiency and accuracy of algorithms, ultimately advancing the capabilities of artificial intelligence.

Latest Patents

Sean Rowan's most notable patents include:

1. **System and method for labeling machine learning inputs** - This innovative patent describes a system that includes processes for retrieving labeled data and identifying characteristics that predict labels for unlabeled data items. The method involves training an analysis model to predict future labels and generating predictions for unlabeled data, thus streamlining the labeling process and improving data management within machine learning frameworks.

2. **System and method for labeling machine learning inputs** - This patent assists users in generating training sets of labeled data points necessary for machine learning processes. The system receives unlabeled data from users and facilitates the labeling process while analyzing previously labeled data to enhance future selections presented to the user.

Career Highlights

Throughout his career, Sean Rowan has made significant strides in the tech industry, particularly while working for Intuit, Inc. His expertise in database management and machine learning has allowed him to develop systems that lead to enhanced productivity and effectiveness in labeling and data processing.

Collaborations

Sean collaborates with talented professionals, including his coworker Joseph B Cessna. Together, they work on advancing the techniques used for labeling machine learning inputs, fostering innovation within their organization and the broader tech community.

Conclusion

In summary, Sean Rowan stands out as an influential inventor whose work in machine learning input labeling is paving the way for future advancements in data processing. As the demand for efficient machine learning solutions grows, Rowan’s contributions will undoubtedly continue to play a crucial role in shaping the industry.

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