Christopher S Hays

Title: Christopher S. Hays: Inventor in Generative AI and Instruction-Code Creation

Introduction

Christopher S. Hays is an inventor based in Phoenix, Arizona, and is associated with Rockwell Automation Technologies Incorporated. His work includes a patent for using generative artificial intelligence to create executable instructions from input files.

Latest Patents

Hays is named on one patent, titled “Generative Artificial Intelligence for Creation of Instruction Code from an Input.” The invention describes systems and methods that generate executable computer code from files such as images or PDFs. These inputs may depict industrial control logic, including ladder diagrams, function block diagrams, sequential function charts, and piping and instrumentation diagrams.

The system can use historical data, including relevant subroutines, to enhance generated code. When an input does not contain enough information, it can prompt a user or other entity to provide additional details. Hays’s listed portfolio includes 1 patent.

Career Highlights

Hays’s patent connects generative AI with the interpretation of technical diagrams and the production of executable instructions. This approach is relevant to industrial automation, where converting engineering documentation into code may support development workflows.

Collaborations

Hays’s listed coworkers include Michael Ohlsen and Christopher E. Stanek. The available information identifies them as coworkers but does not specify their roles in the patent.

Conclusion

Christopher S. Hays’s patent reflects an application of generative AI to industrial automation, translating technical input files into executable instructions with opportunities for historical-data enhancement and user clarification.