Uusimaa, Finland

Edvard Fagerholm

This inventor holds 3 USPTO granted patents. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Edvard Fagerholm. Retrieved from https://idiyas.com/inventor/edvard-fagerholm

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


% Patents Active = 33.3

Average Co-Inventor Count = 14.0

ph-index = 1


Company Filing History:


Years Active: 2026

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3 patents (USPTO):Explore Patents

Title: Edvard Fagerholm: Innovator in Neural Network Image Processing

Introduction

Edvard Fagerholm is a notable inventor based in Uusimaa, Finland. He has made significant contributions to the field of image processing through his innovative use of neural networks. With a total of 3 patents, Fagerholm continues to push the boundaries of technology.

Latest Patents

Fagerholm's latest patents focus on upsampling images using one or more neural networks. The apparatuses, systems, and techniques he has developed are designed to generate images effectively. In at least one embodiment, these neural networks utilize pixel weights that are determined based on one or more sub-pixel offset values. This innovative approach enhances the quality and resolution of generated images.

Career Highlights

Fagerholm is currently employed at Nvidia Corporation, a leading company in graphics processing technology. His work at Nvidia allows him to collaborate with some of the brightest minds in the industry, further advancing his research and inventions.

Collaborations

Some of Fagerholm's notable coworkers include Shiqiu Liu and Guilin Liu. Their collaboration contributes to the innovative environment at Nvidia, fostering advancements in image processing technologies.

Conclusion

Edvard Fagerholm is a prominent figure in the realm of neural network applications for image processing. His patents and work at Nvidia Corporation highlight his commitment to innovation and technological advancement.

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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