Abstract: Various systems and methods are presented regarding using generative artificial intelligence/machine language (AI/ML) to resolve a merge conflict between two or more versions of a program code. The program code can be industrial automation software utilized to control one or more PLCs in an industrial environment. Interaction with the program code can be via a programming tool that presents the program code in a human readable format, while the AI/ML can be applied to the underlying source code. Hence, while the source code is applied to the PLC, the programming tool enables interaction various human readable summaries of the program code and respective options available to resolve the merge conflict. Accordingly, a process engineer, or suchlike, does not have to be familiar with the source code format to readily understand a summary of the merge conflict or one or more options available to correct the conflict.

Abstract: Various systems and methods are presented regarding using generative artificial intelligence/machine language (AI/ML) to resolve a merge conflict between two or more versions of a program code. The program code can be industrial automation software utilized to control one or more PLCs in an industrial environment. Interaction with the program code can be via a programming tool that presents the program code in a human readable format, while the AI/ML can be applied to the underlying source code. Hence, while the source code is applied to the PLC, the programming tool enables interaction various human readable summaries of the program code and respective options available to resolve the merge conflict. Accordingly, a process engineer, or suchlike, does not have to be familiar with the source code format to readily understand a summary of the merge conflict or one or more options available to correct the conflict.

Abstract: Certain embodiments of the present invention provide a system for vulnerability detection and scoring with threat assessment including an analysis engine adapted to perform at least one of automated and semi-automated analysis of a computing system of at least one of known threats, vulnerabilities, and risk factors. The analysis engine is further adapted to determine a security score for the computing system based on the analysis and a schedule indicating a severity level for each threat, vulnerability, and risk factor.

Abstract: A laser printer paper handling system employing separately controllable traction rollers having a registration roller and a fuser pressure roller which are separable from their associated pressure roller and fuser roller respectively, to allow separate engagement of the print paper during a print cycle. The registration roller engages its associated pressure roller and frictionally feeds the paper past a photoconductive drum. As the leading edge of the paper approaches, the fuser roller is engaged by the fuser pressure roller and the registration roller is disengaged causing the paper to be frictionally fed exclusively by the fuser roller. Operation of the rocker arm supporting the registration roller and the carrier bracket for the fuser pressure roller, as well as a paper platen which carries a standard corona transfer unit for activating the photoconducting drum, through a multi-surface cam provides position control for the system elements.