This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Teachers Insurance and Annuity Association of America. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Justin Meyer: Innovator in Automated Assistant Technology
Introduction
Justin Meyer is an accomplished inventor based in Indian Trail, NC (US). He has made significant contributions to the field of automated assistants through his innovative patent. His work focuses on enhancing the capabilities of these systems using supervised machine learning techniques.
Latest Patents
Justin Meyer holds a patent for "Supervised machine learning for automated assistants." This patent discloses methods and systems that improve the functionality of automated assistants. The example method includes receiving an automated assistant transcript comprising a plurality of records, where each record includes a query, a classification of the query, an intent associated with the query, and a responsive action associated with the intent. The method also involves receiving user input via a graphical user interface (GUI) to approve a new automated assistant transcript record. Furthermore, it compares the new record to existing records and displays a notification of any conflicts detected.
Career Highlights
Justin Meyer is currently employed at the Teachers Insurance and Annuity Association of America. His role involves leveraging his expertise in machine learning to develop advanced automated assistant technologies. His innovative approach has positioned him as a key player in the field.
Collaborations
Justin collaborates with talented individuals such as Vamsi Pola and Mehul Shah. Their combined efforts contribute to the advancement of automated assistant technologies and enhance the overall effectiveness of their projects.
Conclusion
Justin Meyer is a notable inventor whose work in supervised machine learning for automated assistants showcases his commitment to innovation. His contributions are paving the way for more efficient and intelligent automated systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile