Cleveland, OH, United States of America

Matthew T Masarik

USPTO Granted Patents = 1 

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Matthew T Masarik: Innovator in Generative AI for Industrial Automation

Introduction

Matthew T Masarik is a notable inventor based in Cleveland, OH (US). He has made significant contributions to the field of industrial automation through his innovative work in generative artificial intelligence. His expertise lies in developing systems that enhance the efficiency and functionality of industrial automation projects.

Latest Patents

Matthew holds a patent for "Generative artificial intelligence industrial design code conversion." This invention features an integrated development environment (IDE) designed for the creation, programming, and configuration of industrial automation systems. The system utilizes a generative AI model and associated neural networks to generate components of an industrial automation project based on functional requirements provided in intuitive formats, such as spoken or written plain language text. The generative AI translates plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other elements of an industrial control project.

Career Highlights

Matthew is currently employed at Rockwell Automation Technologies Incorporated, where he applies his innovative ideas to real-world industrial challenges. His work focuses on integrating advanced technologies to streamline automation processes and improve system performance.

Collaborations

Matthew collaborates with talented professionals in his field, including Anthony Carrara and Rahul P Patel. These partnerships enhance the development of innovative solutions in industrial automation.

Conclusion

Matthew T Masarik is a pioneering inventor whose work in generative AI is transforming the landscape of industrial automation. His contributions are paving the way for more intuitive and efficient automation systems.

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