Abstract: An inspection method includes comparing an inspection image of an inspection object to a reference image of a reference object and recognizing at least one inspection part in the inspection image and at least one reference part in the reference image. The inspection part and the reference part correspond to each other, and the inspection image is registered onto the reference image using the inspection part and the reference part. A set of registration data is provided, and a checking for at least one error using the inspection image, the reference image, and the set of registration data is performed.

Abstract: A method for generating a description of a data set may include generating a data dictionary that associates fields of the data set with descriptions of the fields based on analysis data and context data. The analysis data may indicate results of analysis of the data set including values of the fields and a value of an outcome variable. The context data may characterize a use case of the data set. The method may include generating a summary of the analysis data based on the analysis data and the dictionary; generating a description of a relationship between the outcome variable and a subset of the fields based on the context data, the summary of the analysis data, and the dictionary; generating a potential explanation for the relationship based on the context data and the description of the relationship; and outputting data based on the potential explanation.

Abstract: An inspection method includes comparing an inspection image of an inspection object to a reference image of a reference object, recognizing at least one inspection part in the inspection image and at least one reference part in the reference image, wherein the inspection part and the reference part correspond to each other, registering the inspection image onto the reference image using the inspection part and the reference part and providing a set of registration data, and checking for at least one error using the inspection image, the reference image, and the set of registration data.

Abstract: Machine learning model searching using meta data is provided. A system receives, via a graphical user interface from a client device, a request to search for one or more blueprints including one or more models to add to a project. The system can identify, based on a selection, a list of features with which to execute the requested search. The system can provide a blueprint including a model selected from projects established via input from client devices different from the client device, the projects including blueprints, the blueprints including models trained by machine learning. The system can train, via machine learning, the model of the blueprint to determine the target and add the blueprint including the trained model to the project. The system can generate data causing the graphical user interface to display an indication of the blueprint including the trained model.

Abstract: An inspection method includes comparing an inspection image of an inspection object to a reference image of a reference object, recognizing at least one inspection part in the inspection image and at least one reference part in the reference image, wherein the inspection part and the reference part correspond to each other, registering the inspection image onto the reference image using the inspection part and the reference part and providing a set of registration data, and checking for at least one error using the inspection image, the reference image, and the set of registration data.

Abstract: According to one embodiment, a method of initiating and/or routing communications within a system comprised of a plurality of disparate sub-systems is provided. The method includes collecting information from one or more sub-systems regarding participants in the integrated system, wherein collected information includes one or more of schedule, status, and contact information, wherein the collected information is stored in a central directory. A communication initiated by one of the sub-systems is received, and an event is identified within the received communication. A workflow plan is initiated based on the identified event, wherein the workflow plan utilizes collected information to generate workflow-driven communications to one or more participants. The workflow-driven communications is then delivered to the one or more participants.