This inventor holds 1 USPTO granted patent. Top assignee: Unbound Concepts, Inc.. Active years: 2014.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2014
Title: Katie Palencsar: Innovator in Dynamic Textual Complexity Analysis
Introduction
Katie Palencsar is a notable inventor based in Baltimore, MD (US). She has made significant contributions to the field of data processing through her innovative patent. Her work focuses on utilizing machine learning and artificial intelligence to enhance textual complexity analysis.
Latest Patents
Katie holds a patent for a "Method and apparatus for performing dynamic textual complexity analysis using machine learning artificial intelligence." This invention encompasses a data processing system that includes client devices connected to a network system and a data center unit. The data center unit features a network interface unit, user interface, and multiple storage devices that comprise databases. Additionally, it includes a storage device controller and database manager, a web server for client services, a database server for database services, and a machine learning artificial intelligence application server designed to predict textual complexity. This application server utilizes databases to refine textual complexity analysis, improving the accuracy of predictions.
Career Highlights
Katie Palencsar is currently associated with Unbound Concepts, Inc., where she applies her expertise in machine learning and artificial intelligence. Her innovative approach has positioned her as a key player in the development of advanced data processing systems.
Collaborations
Katie has collaborated with notable colleagues, including Benjamin Bengfort and William Voorhees, contributing to the advancement of their shared goals in technology and innovation.
Conclusion
Katie Palencsar's work in dynamic textual complexity analysis exemplifies the intersection of technology and innovation. Her contributions are paving the way for more accurate data processing systems in the future.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile