Park City, UT, United States of America

Nicholas R Magnuson

This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Qliktech International Ab. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nicholas R Magnuson. Retrieved from https://idiyas.com/inventor/nicholas-r-magnuson

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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2 patents (USPTO):Explore Patents

Title: Innovations of Nicholas R Magnuson

Introduction

Nicholas R Magnuson is an accomplished inventor based in Park City, UT (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on automating the deployment of machine learning models, which is a crucial advancement in the technology sector.

Latest Patents

Nicholas holds a patent for an "Automated machine learning system." This technology automates the deployment of machine learning models by allowing users to connect to data stores and select target metrics through a graphical user interface. The system identifies datasets that correlate with the target metric and trains the machine learning model to generate accurate predictions. This innovation streamlines the process of utilizing machine learning in various applications.

Career Highlights

Nicholas is currently employed at Qliktech International Ab, where he continues to develop and refine his technological innovations. His expertise in machine learning and data analysis has positioned him as a valuable asset in his field.

Collaborations

Some of his notable coworkers include Killian B Dent and James M Friedman, who contribute to the collaborative environment at Qliktech International Ab.

Conclusion

Nicholas R Magnuson exemplifies the spirit of innovation in the technology sector with his automated machine learning system. His contributions are paving the way for more efficient and effective use of machine learning in various industries.

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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