Abstract: Provided are techniques for dynamic fact contextualization in support of AI model development. A template from a plurality of templates is selected, where the template includes definitions for identifying facts. The facts are retrieved from a facts repository based on the definitions. It is determined that that the facts are valid based on one or more policies. A FactSheet is generated using the template and the facts. A machine learning model is used to identify one or more deficient facts from the FactSheet. The FactSheet is displayed in a preview with the one or more deficient facts. One or more facts corresponding to the one or more deficient facts are located. The FactSheet is updated to correct the one or more deficient facts with the corresponding facts.

Abstract: As may be implemented in accordance with one or more embodiments, aspects of the disclosure are directed to methods and/or apparatuses involving the provision of data on a user experience-type interface. Service circuitry can be utilized to provide services, including a plurality of applications that generate data sets in accordance with operational characteristics thereof, for a plurality of endpoint devices. User experience (UX) circuitry may be utilized to provide a UX interface for at least one of the plurality of endpoint devices. A UX interface including a plurality of panes corresponding to different regions of a display is configured. At the endpoint device, respective data is displayed in each pane using data sets generated by different ones of the plurality of applications, each pane being associated with one of the data sets that is different than ones of the data sets associated with another one of the plurality of panes.

Abstract: A system can be used to provide a customizable user interface for controlling a digital interaction. The system can receive authentication data. The system can provide a first user interface page of a customizable user interface. The system can receive first input indicating selection of an interactive element, corresponding to a digital interaction, on the first user interface page. The system can provide a second user interface page based on the digital interaction. The system can receive second input indicating selection of an interactive element on the second user interface page. The system can control the digital interaction based on the second input and a process associated with the digital interaction.

Abstract: Third-party addresses for embedded workbooks including receiving, by a workbook manager from a third-party user computing system, a request for a network address of a third-party domain including an embedded workbook, wherein the embedded workbook is embedded in the third-party domain and presents data from a cloud-based data warehouse; retrieving, by the workbook manager, a workbook identifier that identifies the embedded workbook, an embed identifier that identifies an embedding element, and a third-party domain identifier that identifies the third-party domain; generating, by the workbook manager, the network address of the third-party domain including the embedded workbook using the workbook identifier, the embed identifier, and the third-party domain identifier; and presenting, by the workbook manager on the third-party user computing system, the generated network address of the embedded workbook.

Abstract: A machine learning process for classifying human or animal motion, including the classification of repetitive movements of a human or an animal in order to assess the quality of athletic performance, artistic performance, form, or other quality of motion. The classification of the repetitive movements, in particular, provide an indication of movement dysfunctions.

Abstract: This application provides an interaction method, apparatus, device and medium. The method includes: displaying information of material or materials used in a virtual scene in response to a viewing instruction of a first user for the virtual scene; and displaying a detail page of a target material in response to a first operation on information of the target material used in the virtual scene.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and visualization font variation instances of a variable font using deep-aware focal points in a font variation space. In particular, in one or more embodiments, the disclosed systems determine, for a variable font, a set of predefined font variation instances defining named typeface variations of the variable font. In some embodiments, the disclosed systems generate, from the set of predefined font variation instances, a plurality of focal points representing additional typeface variations of the variable font in a font variation space. In one or more embodiments, the disclosed systems generate, from the plurality of focal points in the font variation space, a modified set of font variation instances defining intermediate typeface variations between the named typeface variations of the variable font.

Abstract: A method includes inserting a block on a page presented in an editor section of the workspace. The block is an in-page object on the page of the workspace and has dimensions that define a block area. The method includes causing the workspace to perform the generative function to create in-block content of a particular type. The generative function causes the system to determine a selection of in-page content based on a location of the block and the particular type of in-block content. The in-page content is presented on the page of the workspace and is located outside of the block. Cause a generative artificial intelligence (AI) system to create generative content of the particular type based on input including the selection of the in-page content. Populate the block area to present the generative content as generative in-block content.

Abstract: Methods and apparatus for managing the visual presentation of a back-end graphical flow model on a domain agnostic graphical flow interface are provided. An example method receives, from a back-end server, a back-end graphical flow node of a back-end graphical flow model additionally having one or more back-end graphical flow edges. An example method also presents at a graphical flow interface, a displayed node visual object representing the back-end graphical flow node. The method is configured to detect a user interaction with the displayed node visual object and transmit to the back-end server, a back-end graphical flow action message based at least in part on the user interaction. A back-end graphical flow update message comprising one or more back-end graphical flow update properties is received from the back-end server, causing an update to the visual presentation of the displayed node visual object.

Abstract: A system for generating a user-sensitive user interface, wherein the system includes a display device; at least a computing device, wherein the computing device comprises: a memory; and at least a processor connected to the memory, wherein the memory contains instructions configuring the at least a processor to: generate an execution operation as a function of a task module; display the execution operations in a user interface; receive, through the user interface, user response data corresponding to one or more of the execution operations; determine, as a function of the user response data, an assigned status corresponding the one or more execution operations using a machine-learning model; generate a second execution operation and an assigned node as a function of the assigned status; generate an updated user interface as a function of the second execution operation and the assigned status; and transmit the updated user interface to the assigned node.

Abstract: Implementations relate to a method implemented by one or more processors, the method including: receiving an input prompt for a large language model (LLM); generating first LLM output that is usable to generate a set of user interface (UI) each associated with a corresponding sub-prompt of the input prompt; causing, based on the first LLM output, the set of UI elements to be rendered at a user device; receiving further user input based on user interactions with one or more of the UI elements of the set of UI elements; and in response to determining that one or more termination conditions are satisfied: generating a final response to the input prompt based on generating second LLM output that is usable to generate the final response; and causing the final response to be rendered at the user device.

Abstract: A point cloud processing apparatus includes circuitry to generate a selection screen displaying a plurality of options each of which indicates a corresponding one of a plurality of qualities for point cloud processing that is performed on point cloud data representing a three-dimensional point cloud. The circuitry stores, in a memory, a processing result of the point cloud processing performed with one of the plurality of qualities on the point cloud data. The one of the plurality of qualities is a selected one of the plurality of options.

Abstract: A portable information handling system palm rest adjacent a mechanical keyboard includes a touch detection surface to accept end user touches as inputs to the information handling system and a force detection sensor to detect pressure associated with the touches. A touch row function defined in an upper strip of the touch detection surface interacts with function key value icons presented at a main display to accept function key row inputs in the place of mechanical function keys of the keyboard. Logic executing on a processing resource compares touch areas with associated pressures to differentiate intentional inputs from unintentional inputs, such as a palm resting on the palm rest.

Abstract: An information processing apparatus includes a processor configured to: in an operation of selecting and executing an object in a screen by a contactless operation with a target, allocate a first region for selecting the object to a mid-air space immediately above the screen; and allocate a second region for executing the selected object to a mid-air space farther from the screen than the first region.

Abstract: An example image forming apparatus may include a display panel, a memory, and a processor connected to the memory and the display panel. The display panel may display a first screen including a highlight indicator and a menu having a menu option displayed in the highlight indicator. Further, the memory may include a screen transition module to receive a selection of the menu option. Further, the screen transition module may perform a screen transition from the first screen to a second screen that displays a submenu option in the highlight indicator. The submenu option is associated with the selected menu option.

Abstract: Implementations relate to rendering mission action(s) in dependence on metadata associated with mission actions for an industrial environment. The rendered mission action(s) can include a first mission action rendered in a first manner and a second mission action rendered in a second manner different from the first manner. For example, the first mission action can be rendered with first graphical features based on first metadata of the first mission action being in a first level of granularity (e.g., the first metadata specifying a robot pose and a camera pose). The second mission action can be rendered with second graphical features based on second metadata of the second mission action being in a second level of granularity (e.g., the second metadata specifying a robot pose but no camera pose). Additionally or alternatively, the one or more mission actions can be rendered based on user input, and/or can be rendered in response to detecting a particular object or event.

Abstract: The present disclosure generally relates to user interfaces for managing user accounts. Initiating a process to create a user account and displaying an access-setting user interface that includes a plurality of selectable and customizable options for setting content access criteria.

Abstract: A method for designing machine learning model comprises inputting, by a layer input unit, a type of layer and parameters of the layer using a layer input panel including a layer type determination panel and a layer parameter input panel, receiving, by a layer model management unit, the type and parameters of the layer selected in the layer input step, constructing a layer model using the input layers and displaying the configuration of the layer model on the layer state display panel of the layer state panel, parsing, by a layer model process unit, the layer model displayed on the layer state display panel of the layer state panel to calculate a layer position and node position for visualization in a layer model visualization unit, and visualizing, by the layer model visualization unit, the layer model calculated in the layer model process step in 3D.

Abstract: In a method for acquiring a shared emotive image, a plurality of candidate contact identifiers is displayed. A user selection of a target contact identifier from the plurality of candidate contact identifiers is received. At least one emotive image corresponding to the target contact identifier is displayed. The at least one emotive image is shared by a target contact of the target contact identifier. A user selection of the shared emotive image from the at least one emotive image corresponding to the target contact identifier is received. An emotive image acquisition request is sent to the target contact corresponding to the target contact identifier. The emotive image acquisition request identifies the shared emotive image for which authorization is requested. The shared emotive image is added to an emotive image library based on the authorization to use the shared emotive image being received.

Abstract: An information processing apparatus for receiving input of information on a material composition from an operator includes a material reception unit configured to receive selection of a material, to which input of information is directed, in accordance with an operation specifying an on-screen position performed by the operator, and a material-content reception unit configured to receive selection of a content of the material, to which the input of information is directed, in accordance with an operation stopping specifying the on-screen position.