Ling Shen

US Patent:

20220198269, Jun 23, 2022

Filed:

Feb 5, 2019

Appl. No.:

17/425990

Inventors:

- Munich, DE
Palash Goyal - Los Angeles CA, US
Jason Vandeventer - Charlotte NC, US
Ling Shen - Cherry Hill NJ, US

International Classification:

G06N 3/08
G06F 8/30
G06F 8/41

Abstract:

A system and method to apply deep learning techniques to an automation engineering environment are provided. Big code files and automation coding files are retrieved by the system from public repositories and private sources, respectively. The big code files include examples general software structure examples to be utilized by the method and system to train advanced automation engineering software. The system represents the coding files in a common space as embedded graphs which a neural network of the system uses to learn patterns. Based on the learning, the system can predict patterns in the automation coding files. From the predicted patterns executable automation code may be created to augment the existing automation coding files.