Mesquite, TX, United States of America

Ronnie J Morris

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Ronnie J Morris

Introduction

Ronnie J Morris is an accomplished inventor based in Mesquite, Texas. He has made significant contributions to the field of machine learning, particularly through his innovative patent. His work focuses on automating functions on a graph structure, which has implications for various knowledge processing systems.

Latest Patents

Ronnie J Morris holds a patent for an "Unsupervised machine learning system to automate functions on a graph structure." This invention encompasses machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems. The patent describes an ensemble machine learning system that is integrated with a graph module, which stores a graph structure. This structure consists of a collection of entities and the relationships between those entities, forming nodes and connection arcs. Additionally, a hotfile module and hotfile propagation engine work in conjunction with the graph module to implement various functionalities generated by the machine learning systems.

Career Highlights

Ronnie J Morris is currently employed at Bank of America Corporation, where he applies his expertise in machine learning and graph structures. His role allows him to contribute to innovative projects that leverage advanced technologies to improve banking functions and services.

Collaborations

Throughout his career, Ronnie has collaborated with notable colleagues, including Dana M Pusey-Conlin and Lorraine C Edkin. These collaborations have fostered a creative environment that encourages the development of cutting-edge solutions in the field of machine learning.

Conclusion

Ronnie J Morris is a pioneering inventor whose work in machine learning and graph structures has the potential to transform various industries. His contributions, particularly through his patent, highlight the importance of innovation in technology.

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