Daimiel, Spain

Carlos Márquez Rodríguez-Peral

This inventor holds 1 USPTO granted patent. Top assignee: Movidius Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Carlos Márquez Rodríguez-Peral. Retrieved from https://idiyas.com/inventor/carlos-marquez-rodriguez-peral-o8euruks

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovations of Carlos Márquez Rodríguez-Peral

Introduction

Carlos Márquez Rodríguez-Peral is a notable inventor based in Daimiel, Spain. He has made significant contributions to the field of machine learning, particularly through his innovative patent. His work focuses on enhancing various aspects of machine learning models, showcasing his expertise and creativity in this rapidly evolving field.

Latest Patents

Carlos holds a patent for a deep learning system that aims to improve machine learning models. This system involves accessing a substantially photorealistic three-dimensional (3D) graphical model of an object. A set of training images is generated from this model, which includes imperfections to degrade the photorealistic quality. These training images are then utilized as data to train an artificial neural network, demonstrating a novel approach to machine learning.

Career Highlights

Carlos Márquez Rodríguez-Peral is currently employed at Movidius Limited, where he continues to develop and refine his innovative ideas. His work at the company has allowed him to explore the practical applications of his inventions in the tech industry.

Collaborations

Some of his notable coworkers include Mi Sun Park and Jonathan Byrne. Their collaboration contributes to a dynamic work environment that fosters innovation and creativity.

Conclusion

Carlos Márquez Rodríguez-Peral exemplifies the spirit of innovation in the field of machine learning. His contributions, particularly through his patent, highlight the importance of creativity and technical expertise in advancing technology.

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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