Abstract: Techniques are disclosed for automatically generating new content using a trained 1-to-N generative adversarial network (GAN) model. In disclosed techniques, a computer system receives, from a computing device, a request for newly-generated content, where the request includes current content. The computer system automatically generates, using the trained 1-to-N GAN model, N different versions of new content, where a given version of new content is automatically generated based on the current content and one of N different style codes, where the value of N is at least two. After generating the N different versions of new content, the computer system transmits them to the computing device. The disclosed techniques may advantageously automate a content generation process, thereby saving time and computing resources via execution of the 1-to-N GAN machine learning model.

Abstract: A system and method to create at least one step for providing digital guidance to an underlying application is disclosed. The system comprising one or more user devices in communication with a server, the user device comprising a processor configured to: scan the underlying application for identifying one or more elements; select at least one target element; determine neighbouring element in proximity of the target element; analyse elements to determine attributes including unique attributes; classify as a pillar element depending upon presence of unique attributes; determine an intersection element between the target element and the pillar element; and determine path of the intersection element, store path of the intersection element, the path of the intersection element enables identification of the intersection element and based on the intersection element, the pillar element and the target element associated with the intersection element can be identified.

Abstract: Techniques are disclosed for automatically generating new content using a trained 1-to-N generative adversarial network (GAN) model. In disclosed techniques, a computer system receives, from a computing device, a request for newly-generated content, where the request includes current content. The computer system automatically generates, using the trained 1-to-N GAN model, N different versions of new content, where a given version of new content is automatically generated based on the current content and one of N different style codes, where the value of N is at least two. After generating the N different versions of new content, the computer system transmits them to the computing device. The disclosed techniques may advantageously automate a content generation process, thereby saving time and computing resources via execution of the 1-to-N GAN machine learning model.

Abstract: Techniques are disclosed for automatically converting a layout image to a text-based representation. In the disclosed techniques, a server computer system receives a layout image that includes a plurality of portions representing a plurality of user interface (UI) elements included in a UI design. The server computer system transforms, via executed of a trained residual neural network (ResNet), the layout image to a text-based representation of the layout image that specifies coordinates of bounding regions of the plurality of UI elements included in the UI design, where the text-based representation is usable to generate program code executable to render the UI design. The disclosed techniques may advantageously automate one or more portions of a UI design process and, as a result save time and computing resources via the execution of an image to text-based conversion ResNet machine learning model.

Abstract: Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes setting a rule or rules, in a computing device, in advance of digital guidance content creation, for detecting, upon later playback of the content, page elements of the underlying computer application that are associated with the content. The exemplary method further includes recording, in the computing device, steps of the digital guidance content as the steps are created by a content author, and automatically applying, in the computing device, the previously set rule or rules for detecting page elements, and thereby assigning strong attributes to the page elements. The method further includes saving, in the computing device, the content steps along with the strong attributes of the page elements associated with the content steps.

Abstract: Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes recording, in a computing device, steps of digital guidance content as the steps are created by a content author. The exemplary method also includes automatically segmenting, in the computing device, the digital guidance content as it is being created such that the digital guidance content is only associated with segments of the underlying computer application where the content is relevant. The exemplary method further includes making the digital guidance content available for playback to an end user on a computing device only when the end user is in a segment of the underlying computer application that is relevant to the digital guidance content.

Abstract: Systems and method are provided for selecting product corpus data. Natural language processing may be used to cluster and filter the dataset for valid descriptions of the product having a predetermined sentence length and normal natural language structure. A transformer based a multi-modal conditioned natural language generator may be instantiated based on the clustered and filtered dataset. The instantiated multi-modal conditioned natural language generator may be trained. An evaluation of an output of the multi-modal conditioned natural language generator may be performed. A product description may be generated based on the trained multi-modal conditioned natural language generator, and the product description may be output for an electronic product catalog.

Abstract: Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes recording, in a computing device, steps of digital guidance content as the steps are created by a content author. The exemplary method also includes automatically segmenting, in the computing device, the digital guidance content as it is being created such that the digital guidance content is only associated with segments of the underlying computer application where the content is relevant. The exemplary method further includes making the digital guidance content available for playback to an end user on a computing device only when the end user is in a segment of the underlying computer application that is relevant to the digital guidance content.

Abstract: Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes setting a rule or rules, in a computing device, in advance of digital guidance content creation, for detecting, upon later playback of the content, page elements of the underlying computer application that are associated with the content. The exemplary method further includes recording, in the computing device, steps of the digital guidance content as the steps are created by a content author, and automatically applying, in the computing device, the previously set rule or rules for detecting page elements, and thereby assigning strong attributes to the page elements. The method further includes saving, in the computing device, the content steps along with the strong attributes of the page elements associated with the content steps.