Sunnyvale, CA, United States of America

Skylar Payne

USPTO Granted Patents = 5 

Average Co-Inventor Count = 6.5

ph-index = 2

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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5 patents (USPTO):Explore Patents

Title: Skylar Payne: Innovator in Predictive Systems

Introduction

Skylar Payne is a talented inventor based in Sunnyvale, CA. She has made significant contributions to the field of predictive systems, holding a total of 5 patents. Her work focuses on advanced methodologies for predicting feature values in complex matrices.

Latest Patents

Skylar's latest patents include innovative systems and methods for predicting feature values in a matrix. In her first patent, a server accesses a matrix with multiple dimensions, where one dimension represents features and another represents entities. The server separates the matrix into multiple submatrices along a first dimension, providing these submatrices to multiple machines. Each machine computes a correlation between values in at least one second dimension of the matrix and a preselected feature, which is then used to predict the feature's value based on other values along the second dimension. The server outputs the computed correlation.

Another patent by Skylar also revolves around negative sampling, utilizing similar methodologies to predict feature values in a matrix. This innovative approach enhances the accuracy of predictions by leveraging correlations computed across various dimensions of the matrix.

Career Highlights

Skylar is currently employed at Microsoft Technology Licensing, LLC, where she continues to develop her groundbreaking ideas. Her work has positioned her as a key player in the field of predictive analytics, contributing to advancements that benefit various industries.

Collaborations

Skylar collaborates with talented individuals such as Benjamin John McCann and Jerry Lin, further enhancing her innovative projects and expanding her impact in the technology sector.

Conclusion

Skylar Payne is a remarkable inventor whose work in predictive systems is paving the way for future innovations. Her contributions to the field are invaluable, and her patents reflect her dedication to advancing technology.

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