Midway, UT, United States of America

Wacey T Richards

USPTO Granted Patents = 5 

Average Co-Inventor Count = 8.5

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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5 patents (USPTO):Explore Patents

Title: Wacey T Richards: Innovator in Machine Learning Technologies

Introduction

Wacey T Richards is a notable inventor based in Midway, Utah, recognized for his contributions to machine learning technologies. With a total of five patents to his name, Richards has made significant strides in the field of data processing and predictive analysis.

Latest Patents

Richards' latest patents include "Extensible Data Objects for Use in Machine Learning Models." This patent describes systems and methods for creating a data object for each of a plurality of imported unstructured data files. Each data object expressly includes one of the unstructured data files, and preprocessing subsystems and machine learning algorithms process the data to generate structured insight features. The system updates each data object to include these structured features. Another significant patent is "Predictive Analysis Systems and Methods Using Machine Learning." This invention utilizes a predictive analysis model to analyze contracts or other documents. The system parses documents and identifies terms, determining a difference parameter between extracted terms. It assesses whether the difference is acceptable to the user and reports a validation parameter indicating the level of acceptability.

Career Highlights

Richards is currently employed at Deepsee.ai Inc., where he continues to innovate in the realm of machine learning. His work focuses on enhancing the capabilities of predictive analysis and data processing systems, contributing to advancements in artificial intelligence.

Collaborations

Richards collaborates with notable colleagues, including Stephen W Shillingford and Michael E Kiemel, who share his passion for innovation in technology.

Conclusion

Wacey T Richards stands out as a key figure in the development of machine learning technologies, with a strong portfolio of patents that reflect his innovative spirit. His contributions are shaping the future of data analysis and predictive modeling.

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