This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Capital One Services, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Bryce Freshcorn: Innovator in Machine Learning Applications
Introduction
Bryce Freshcorn is a notable inventor based in Arlington, VA (US). He has made significant contributions to the field of machine learning, particularly in developing systems that enhance user interaction with technology. With a total of 2 patents, his work focuses on generating user-specific outputs based on individual queries and profiles.
Latest Patents
Bryce's latest patents include innovative systems and methods for modifying machine learning model-generated text and images based on user queries and profiles. One of his patents describes a system that receives a user query containing a textual description. The system retrieves a user profile associated with the query and generates outputs and images using a machine learning model. This process culminates in the creation of a graphical representation of an item, enabling users to access the item based on their selection. Another patent outlines similar methods for user selection of machine learning model-based results, emphasizing the importance of tailoring outputs to individual user needs.
Career Highlights
Bryce Freshcorn is currently employed at Capital One Services, LLC, where he applies his expertise in machine learning to develop innovative solutions. His work has been instrumental in enhancing user experiences through advanced technology.
Collaborations
Some of Bryce's coworkers include Lee Adcock and Arindam Chakraborty, who contribute to the collaborative environment that fosters innovation at Capital One Services.
Conclusion
Bryce Freshcorn's contributions to machine learning and user-specific technology demonstrate his commitment to innovation. His patents reflect a deep understanding of user needs and the potential of machine learning to transform interactions with technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
