Atlanta, GA, United States of America

Ryan Marc Christian Benkert

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ryan Marc Christian Benkert. Retrieved from https://idiyas.com/inventor/ryan-marc-christian-benkert

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ryan Marc Christian Benkert and Machine Learning for Autonomous Systems.

Introduction

Ryan Marc Christian Benkert is an inventor based in Atlanta, Georgia, and works at NVIDIA Corporation. His patent work concerns machine-learning methods for data mining in autonomous and semi-autonomous systems. He is named on 1 patent.

Latest Patents

Benkert’s patent, “Data Mining Using Machine Learning for Autonomous Systems and Applications,” describes neural networks that help organize and classify data. In the disclosed approach, one network can filter out samples associated with selected object classifications, while another can retrieve samples associated with other classifications. Additional networks can assess uncertainty and determine final object classifications from the filtered data. The examples include image data and applications involving autonomous or semi-autonomous systems.

Career Highlights

Benkert’s listed professional affiliation is NVIDIA Corporation, a company whose work includes computing technologies relevant to artificial intelligence and autonomous systems. His patent reflects an approach to managing data for machine-learning applications by combining filtering, retrieval, uncertainty assessment, and classification.

Collaborations

Shanshan Xu and Yifang Xu are identified as Benkert’s coworkers. The patent information provided describes the invention but does not specify the individual contributions of these coworkers.

Conclusion

Ryan Marc Christian Benkert’s patent focuses on using neural networks to make data mining and classification more effective for autonomous and semi-autonomous applications.

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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