Rowlett, TX, United States of America

Jeffrey Dix

This inventor holds 4 USPTO granted patents and 4 published patent applications. Top assignee: At&t Intellectual Property I, LP. Active years: 2022-2026.

USPTO Granted Patents = 4 

% Patents Active = 50.0

Average Co-Inventor Count = 2.5

ph-index = 1


Company Filing History:


Years Active: 2022-2026

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4 patents (USPTO):Explore Patents

Title: Innovations by Jeffrey Dix

Introduction

Jeffrey Dix is an accomplished inventor based in Rowlett, TX (US). He has made significant contributions to the field of machine learning, holding a total of 4 patents. His work focuses on enhancing the representation and execution of machine learning models.

Latest Patents

One of Jeffrey Dix's latest patents involves a machine learning model representation and execution. This patent describes a device that includes a processing system with a processor and a memory that stores executable instructions. When executed, these instructions facilitate operations such as receiving user-specified metadata for execution tasks associated with a machine learning (ML) model, receiving artifacts that specify program code for implementing the ML model, and creating a file system structure for a container to hold the ML model. Additionally, it includes receiving environment variables for the operation of the ML model and building the container, which includes a model image for the ML model. Other embodiments are also disclosed in this patent.

Career Highlights

Jeffrey Dix is currently associated with AT&T Intellectual Property I, LP, where he continues to innovate in the field of technology. His work has been instrumental in advancing machine learning applications.

Collaborations

Jeffrey Dix collaborates with fellow inventor Jeffrey B Saxon, contributing to the development of innovative solutions in their field.

Conclusion

Jeffrey Dix's contributions to machine learning through his patents and work at AT&T Intellectual Property I, LP highlight his role as a significant inventor in the technology sector. His innovative approaches continue to shape the future of machine learning applications.

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