Baton Rouge, LA, United States of America

Samuel Irving

This inventor holds 1 USPTO granted patent. Top assignee: USA as Represented by Secretary of the Navy. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Samuel Irving. Retrieved from https://idiyas.com/inventor/samuel-irving-gea0qrdg

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Samuel Irving: Innovator in Human-Assisted Machine Learning

Introduction

Samuel Irving is a notable inventor based in Baton Rouge, LA (US). He has made significant contributions to the field of machine learning, particularly through his innovative patent that enhances user interaction with advanced algorithms.

Latest Patents

Samuel Irving holds a patent for "Human-assisted machine learning through geometric manipulation and refinement." This patent outlines systems and methods for feature detection, allowing users to leverage advanced machine learning and artificial intelligence (AI) without needing an in-depth understanding of existing algorithms and techniques. The embodiments of this patent provide easy access to a suite of machine learning algorithms, an intuitive interface for training AI to recognize image features, and real-time visualizations of training effectiveness.

Career Highlights

Samuel Irving is currently employed by the United States as represented by the Secretary of the Navy. His work focuses on integrating machine learning technologies into practical applications, making them more accessible to users.

Collaborations

Samuel collaborates with notable colleagues, including Christopher J Michael and Meg Palmsten. Their combined expertise contributes to the advancement of machine learning technologies.

Conclusion

Samuel Irving's innovative work in human-assisted machine learning exemplifies the potential of technology to simplify complex processes for users. His contributions are paving the way for more intuitive AI applications in various fields.

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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