Los Altos, CA, United States of America

Tyler Stephen Hill

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.6

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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2 patents (USPTO):Explore Patents

Title: Tyler Stephen Hill: Innovator in Computer Vision

Introduction

Tyler Stephen Hill is a notable inventor based in Los Altos, California. He has made significant contributions to the field of computer vision, holding two patents that showcase his innovative approach to machine learning and data interpretation.

Latest Patents

Tyler's latest patents include "Performing explanation jobs for computer vision tasks" and "Global explanations of machine learning model predictions for input containing text attributes." The first patent outlines a method for executing explanation jobs for computer vision models, which involves extracting features from images and determining their importance in the model's predictions. The results include generated heat maps that provide insights into the model's decision-making process. The second patent focuses on generating explanatory data sets for machine learning models that handle text attributes. It details the identification of related token groups and the generation of prediction influence scores, culminating in an aggregate score that enhances understanding of the model's predictions.

Career Highlights

Tyler is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning and computer vision. His work is instrumental in advancing the capabilities of AI technologies within the company.

Collaborations

Tyler collaborates with talented individuals such as Michele Donini and Krishnaram Kenthapadi, contributing to a dynamic and innovative work environment.

Conclusion

Tyler Stephen Hill is a prominent figure in the realm of computer vision, with patents that reflect his commitment to enhancing machine learning technologies. His work at Amazon Technologies, Inc. continues to push the boundaries of innovation in this exciting field.

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