This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Digital Genius Limited. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Mahyar Bordbar: Innovator in Automated Text Tagging
Introduction
Mahyar Bordbar is a notable inventor based in London, GB. He has made significant contributions to the field of computer science, particularly in the area of automated text tagging. His innovative approach combines advanced neural network techniques to enhance the efficiency of text processing.
Latest Patents
Mahyar Bordbar holds a patent for an invention titled "Automated tagging of text." This computer-implemented method involves determining values for various locations in a first vector. It processes this vector through a trained first neural network component to generate a second vector. Subsequently, a trained second neural network component processes the second vector to produce probability scores for at least ten predetermined tags. If the scores meet specific criteria, the corresponding tags are assigned to the text. The invention allows for a flexible number of locations, ranging from 600 to 20,000, with the second vector containing between 100 and 5,000 locations.
Career Highlights
Mahyar Bordbar is currently employed at Digital Genius Limited, where he continues to develop innovative solutions in artificial intelligence and machine learning. His work focuses on improving the automation of text processing, which has significant implications for various industries.
Collaborations
Some of Mahyar's coworkers include Bohdan Maksak and Conan McMurtrie, who contribute to the collaborative environment at Digital Genius Limited. Their combined expertise fosters a culture of innovation and creativity.
Conclusion
Mahyar Bordbar's contributions to automated text tagging exemplify the intersection of technology and innovation. His work not only advances the field of computer science but also sets a foundation for future developments in text processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile