Daniel Flynn

Title: The Innovative Mind of Daniel Flynn

Introduction

Daniel Flynn is an accomplished inventor based in Plano, Texas. He has made significant contributions to the field of machine learning and document analysis. His innovative approach combines technology with user interaction to enhance the efficiency of machine learning models.

Latest Patents

One of Daniel Flynn's notable patents is focused on document analysis using machine learning and neural networks. This patent outlines a method for providing training data for a machine learning model. The process includes monitoring a specific user as they read electronic documents, determining pauses in reading, and correlating these pauses with objects on the displayed documents. The method further involves identifying features for the machine learning model based on textual analysis and presenting relevant information to the user. This innovative approach allows for the collection of descriptors and values that define the importance of each identified feature.

Career Highlights

Daniel Flynn is currently employed at AT&T Intellectual Property I, L.P., where he continues to develop and refine his innovative ideas. His work focuses on enhancing machine learning applications, particularly in the realm of document analysis. His contributions have positioned him as a key player in the field of technology and innovation.

Collaborations

Daniel has collaborated with talented individuals such as Martin Patrick McEnroe and Andrew Vishnyakov. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Daniel Flynn's work exemplifies the intersection of technology and user experience in machine learning. His innovative patent and career at AT&T highlight his commitment to advancing the field. Through his contributions, he continues to shape the future of document analysis and machine learning.