Abstract: An illustrative embodiment provides a computer-implemented method for processing wage garnishment court orders includes obtaining a court order for wage garnishment for a user. The method also includes predicting values for a first subset of a number of fields for executing wage garnishment according to the court order using a rule engine. The method also includes predicting values for a second subset of the number of fields using a machine learning engine, wherein the second subset of the number of fields includes missing fields for which the rule engine could not provide a prediction. The machine learning engine includes one of a plurality of classification algorithms. The one of the plurality of classification algorithms selected to use for the machine learning engine for predicting field values is selected according to at least one of accuracy, speed, size of model, and explainability.

Abstract: Methods and systems for training a machine learning model using synthetic defect images are provided. One system includes one or more components executed by one or more computer subsystems. The one or more components include a graphical user interface (GUI) configured for displaying one or more images for a specimen and image editing tools to a user and for receiving input from the user that includes one or more alterations to at least one of the images using one or more of the image editing tools. The component(s) also include an image processing module configured for applying the alteration(s) to the at least one image thereby generating at least one modified image and storing the at least one modified image in a training set. The computer subsystem(s) are configured for training a machine learning model with the training set in which the at least one modified image is stored.

Abstract: A method, computer system, and computer program product are provided for processing an output of batch processed information. A document storage system receives the output of batch processed information from a number of company portals, websites, and online systems of organization. The document storage system separates the output into individual documents and individual forms. The document storage system indexes the individual documents and forms according to metadata. The metadata includes structural attributes extracted from the individual documents and forms, and company relevant parameters identified from business intelligence for the organization. The document storage system stores the individual documents and forms in association with the metadata. Responsive to storing the individual documents and forms, the document storage system generates an event message. The event message comprises information about the storing of the individual documents and forms.

Abstract: A method, computer system, and computer program product are provided for processing an output of batch processed information. A document storage system receives the output of batch processed information from a number of company portals, websites, and online systems of organization. The document storage system separates the output into individual documents and individual forms. The document storage system indexes the individual documents and forms according to metadata. The metadata includes structural attributes extracted from the individual documents and forms, and company relevant parameters identified from business intelligence for the organization. The document storage system stores the individual documents and forms in association with the metadata. Responsive to storing the individual documents and forms, the document storage system generates an event message. The event message comprises information about the storing of the individual documents and forms.

Abstract: An illustrative embodiment provides a computer-implemented method for processing wage garnishment court orders includes obtaining a court order for wage garnishment for a user. The method also includes predicting values for a first subset of a number of fields for executing wage garnishment according to the court order using a rule engine. The method also includes predicting values for a second subset of the number of fields using a machine learning engine, wherein the second subset of the number of fields includes missing fields for which the rule engine could not provide a prediction. The machine learning engine includes one of a plurality of classification algorithms. The one of the plurality of classification algorithms selected to use for the machine learning engine for predicting field values is selected according to at least one of accuracy, speed, size of model, and explainability.

Abstract: Training an artificial intelligence system to process agency notices. The process identifies historical data that includes historical text generated from optical character recognition performed on historical images of the agency notices and historical metadata for items in the historical images of the agency notices. The process generates annotations for the historical text. The annotations identify the items in the historical text and locations of the items in the historical text. The process trains the artificial intelligence system using the historical data and the annotations.

Abstract: Training an artificial intelligence system to process agency notices. The process identifies historical data that includes historical text generated from optical character recognition performed on historical images of the agency notices and historical metadata for items in the historical images of the agency notices. The process generates annotations for the historical text. The annotations identify the items in the historical text and locations of the items in the historical text. The process trains the artificial intelligence system using the historical data and the annotations.

Abstract: A scanning electron microscopy system is disclosed. The system includes a sample stage configured to secure a sample having conducting structures disposed on an insulating substrate. The system includes an electron-optical column including an electron source configured to generate a primary electron beam and a set of electron-optical elements configured to direct at least a portion of the primary electron beam onto a portion of the sample. The system includes a detector assembly configured to detect electrons emanating from the surface of the sample. The system includes a controller communicatively coupled to the detector assembly. The controller is configured to direct the electron-optical column and stage to perform, with the primary electron beam, an alternating series of image scans and flood scans of the portion of the sample, wherein each of the flood scans are performed sequential to one or more of the imaging scans.

Abstract: Methods and systems for training a machine learning model using synthetic defect images are provided. One system includes one or more components executed by one or more computer subsystems. The one or more components include a graphical user interface (GUI) configured for displaying one or more images for a specimen and image editing tools to a user and for receiving input from the user that includes one or more alterations to at least one of the images using one or more of the image editing tools. The component(s) also include an image processing module configured for applying the alteration(s) to the at least one image thereby generating at least one modified image and storing the at least one modified image in a training set. The computer subsystem(s) are configured for training a machine learning model with the training set in which the at least one modified image is stored.

Abstract: A scanning electron microscopy system is disclosed. The system includes a sample stage configured to secure a sample having conducting structures disposed on an insulating substrate. The system includes an electron-optical column including an electron source configured to generate a primary electron beam and a set of electron-optical elements configured to direct at least a portion of the primary electron beam onto a portion of the sample. The system includes a detector assembly configured to detect electrons emanating from the surface of the sample. The system includes a controller communicatively coupled to the detector assembly. The controller is configured to direct the electron-optical column and stage to perform, with the primary electron beam, an alternating series of image scans and flood scans of the portion of the sample, wherein each of the flood scans are performed sequential to one or more of the imaging scans.

Abstract: A web service for automatically determining accounting entries that are affected by the deletion of a journal, formulating reverse accounting entries, and sending the reverse entries back to the source system is described. The service can use transaction identification keys to map and track which accounting entries are affected by the deletion of the journal. The web service can use extensible markup language (XML) among other formats.

Abstract: This disclosure describes, generally, methods and systems for implementing application agnostic UI integration. Aspects of the invention relates to a generic architecture and a framework, which leverage the capabilities of a middleware server and application integration concepts, to support launching a User Interface (UI) of any target application from any source application. The source application can invoke, for example, a HTTP get request or fires a HTTP post to the target application, and the same interaction can take place while returning control back from target application to source application. Additionally, the target application can invoke a service hosted on the source application to return the control back to source application.

Abstract: A web service for automatically determining accounting entries that are affected by the deletion of a journal, formulating reverse accounting entries, and sending the reverse entries back to the source system is described. The service can use transaction identification keys to map and track which accounting entries are affected by the deletion of the journal. The web service can use extensible markup language (XML) among other formats.

Abstract: This disclosure describes, generally, methods and systems for implementing application agnostic UI integration. Aspects of the invention relates to a generic architecture and a framework, which leverage the capabilities of a middleware server and application integration concepts, to support launching a User Interface (UI) of any target application from any source application. The source application can invoke, for example, a HTTP get request or fires a HTTP post to the target application, and the same interaction can take place while returning control back from target application to source application. Additionally, the target application can invoke a service hosted on the source application to return the control back to source application.