Waterloo, Canada

Morgan Mcguire

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Nvidia Corporation. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Morgan Mcguire. Retrieved from https://idiyas.com/inventor/morgan-mcguire-wmp95bc9

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Morgan McGuire: Innovator in Gaze Estimation Technology

Introduction

Morgan McGuire is a prominent inventor based in Waterloo, Canada. He has made significant contributions to the field of gaze estimation technology. His work focuses on utilizing neural networks to enhance user interaction through accurate gaze tracking.

Latest Patents

Morgan McGuire holds a patent for "Gaze estimation using one or more neural networks." This patent presents apparatuses, systems, and techniques designed to estimate user gaze. In at least one embodiment, one or more neural networks are employed to determine both coarse and fine gaze estimates for users. He has 1 patent to his name.

Career Highlights

Morgan is currently employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence. His role at Nvidia allows him to work on cutting-edge technologies that push the boundaries of user experience and interaction.

Collaborations

Throughout his career, Morgan has collaborated with talented individuals such as Michael Stengel and Alexander Majercik. These collaborations have contributed to the advancement of innovative technologies in the field.

Conclusion

Morgan McGuire is a key figure in the development of gaze estimation technology, with a focus on neural networks. His contributions at Nvidia Corporation and his patent highlight his commitment to innovation in this exciting 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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