This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Yahoo Assets LLC. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: The Innovative Mind of Nicolas Torzec
Introduction
Nicolas Torzec is a prominent inventor based in San Jose, California. He has made significant contributions to the field of electronic information extraction through his innovative patent. His work focuses on utilizing machine-learned model architecture to enhance the efficiency of information extraction from electronic documents.
Latest Patents
Nicolas Torzec holds a patent titled "Electronic information extraction using a machine-learned model architecture method and apparatus." This patent discloses techniques for automatic intelligent information extraction from electronic documents. In one embodiment, the computerized method involves training a label prediction model to generate a set of label predictions. The process includes obtaining an electronic document, analyzing it, and determining a set of features for each identified information item. The model output comprises probabilities corresponding to various information classes, ultimately generating an information extraction with corresponding labels.
Career Highlights
Nicolas Torzec is currently associated with Yahoo Assets LLC, where he applies his expertise in machine learning and information extraction. His innovative approach has positioned him as a valuable asset in the tech industry, particularly in enhancing document processing capabilities.
Collaborations
Nicolas collaborates with talented individuals such as Sanika Shirwadkar and Kostas Tsioutsiouliklis. Their combined efforts contribute to advancing the field of electronic information extraction and machine learning.
Conclusion
Nicolas Torzec's contributions to the field of electronic information extraction demonstrate his innovative spirit and commitment to advancing technology. His patent reflects a significant step forward in automating information processing, showcasing the potential of machine learning in practical applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile