Little Elm, TX, United States of America

Last Feremenga

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Last Feremenga. Retrieved from https://idiyas.com/inventor/last-feremenga

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: Innovations of Last Feremenga

Introduction

Last Feremenga is an innovative inventor based in Little Elm, TX (US). He has made significant contributions to the field of image processing and logo identification. His work is characterized by a unique approach that combines neural networks with practical applications.

Latest Patents

Last Feremenga holds a patent for a "Method for identifying a logo in an image." This method involves providing a neural network that includes an image encoder, a text encoder, and a score calculator. The process begins with receiving an image and a textual description associated with the logo. The image is processed by the image encoder, while the textual description is handled by the text encoder. The image encoder generates one or more image embeddings, and the text encoder produces one or more text embeddings. The score calculator then generates a score based on these embeddings, which helps determine the presence of the logo in the image.

Career Highlights

Feremenga is currently employed at Fmr Corp., where he continues to develop innovative solutions in his field. His work has garnered attention for its practical applications and effectiveness in logo identification.

Collaborations

Some of his notable coworkers include Vallex Herard and Pradeep Mooda, who contribute to the collaborative environment at Fmr Corp.

Conclusion

Last Feremenga's contributions to the field of image processing and logo identification demonstrate his innovative spirit and commitment to advancing technology. His patent reflects a significant step forward in the use of neural networks for practical 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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