Abstract: In some embodiments, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.

Abstract: In some embodiments, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.

Abstract: Aspects of the present disclosure provide techniques for recommending content to users of an application based on a probability distribution over a set of articles generated from user activity history within the application. Embodiments include receiving a content request from a user of the application. A system retrieves, using a predictive model, predictive scores for items of content in response to the content request and user activity history within the application prior to the content request. The predictive model may be trained using user clickstream data for sessions executed within the application by a plurality of users, and information about actions performed within the application prior to a request may be correlated with content viewed by a user subsequent to the request. The system selects a group of the items of content to display to the user and displays the selected group of the items of content to the user.

Abstract: To provide context-specific interpretation of a user interaction with a user interface of a computer application, a processor may detect a user interaction with a user interface (UI). The processor may analyze the user interaction to determine a plurality of action details. The processor may generate a user context based on the plurality of action details and additional context information. The processor may select at least one operation relevant to the user interaction and context. The processor may cause the computer application to perform the operation.

Abstract: A touch sensitive display device is described. The device has a touch screen and an overlay. The touch screen has a plurality of data entry locations. The overlay has a guide portion and a support portion. The guide portion has one or more apertures and one or more tactile markers, where each of the tactile markers is adjacent to one of the one or more apertures and corresponds to one of the plurality of distinct data entry locations on the touch screen. The support portion if used to retain the guide portion over the touch screen such that each of the one or more guide apertures is in registration with one of the plurality of distinct data entry locations.