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: Michael Ilfeld: Innovator in Supervised Machine Learning
Introduction
Michael Ilfeld is an inventor based in Charlotte, NC, recognized for his significant contributions to the field of automated assistance through his innovative approach to supervised machine learning. With one patent to his name, Ilfeld's work enhances how automated assistants process and respond to user interactions, making them more intuitive and efficient.
Latest Patents
Ilfeld's notable patent, "Supervised Machine Learning for Automated Assistants," explores methods and systems that improve the reliability of automated responses. The patent outlines sophisticated techniques for managing transcripts of user interactions, which include elements such as queries, classifications, intents, and responsive actions. A significant aspect of the invention is a graphical user interface (GUI) that allows users to approve new records while providing notifications of potential conflicts, thus refining the learning process of automation.
Career Highlights
Michael Ilfeld is currently associated with the Teachers Insurance and Annuity Association of America, where he continues his work in innovating automated systems. His role has allowed him to apply his patent within a professional setting, contributing to the advancement of technology that aids both individuals and organizations in managing their automated interactions.
Collaborations
Throughout his career, Ilfeld has collaborated with fellow innovators, including Prem Kumar Sivasankar and Vamsi Pola. These partnerships have fostered an environment of shared knowledge and innovation, driving the development of effective automated solutions.
Conclusion
Michael Ilfeld's work stands as a testament to the possibilities of supervised machine learning in improving automated assistants. With a focus on making technology more responsive and user-friendly, Ilfeld continues to contribute to the evolution of automated systems, paving the way for future developments in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile