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.

Abstract: A mobile application with an improved user interface facilitates generating stylized media content items including images and videos. An end-user selects a desired visual effect from a set of options. The mobile application captures or accesses an image. The image is processed on a server using a generative neural network pre-trained to apply stylizations based on the selected effect. The server sends back the stylized image to the mobile application for display. The end-user can then save the stylized image or generate a video (e.g., an animation) showing the original image transition to the stylized image. The user interface provides an efficient creative workflow to apply aesthetic enhancements in a visual style chosen by the end-user. Generative machine learning techniques automate stylization to enable accessible media customization and sharing.

Abstract: A modular data acquisition and analysis system may include at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive, from a module database, a library of interoperable modules, receive, from a user interface, a module selection, generate an interface, receive a user input through the interface, update the interface as a function of the user input, define a customized workflow as a function of the user input, and save the customized workflow for subsequent execution.

Abstract: A processor-implemented method includes receiving, at a first mobile compute device of a user, a service request. Curated service information associated with the service request is retrieved in response to the user input, and displayed via a graphical user interface (GUI) of the first mobile compute device. A user selection of a subset of the curated service information is received via the GUI, and a phone number is received in response to the user populating a phone number field of the GUI. A send icon is displayed via the GUI in response to receiving at least one of the selection or the phone number. In response to a user selecting the send icon, a communication with the subset of service information is sent to a second mobile compute device having the phone number and associated with a service recipient, without including any self-identifying information associated with the user.

Abstract: Systems and processes for generating location-aware reports corresponding to a location of an avatar in a metaverse world are provided. In a method for generating location-aware reports, a virtual location of an avatar in a metaverse world associated with a metaverse application is retrieved. The virtual location may be processed to generate a processed virtual location that is compatible with an enterprise system, and a reporting table is populated in a backend of the enterprise system to generate a report based on the processed virtual location of the avatar to generate a location-aware report. The location-aware report is output for presentation to a user interface of the metaverse application, such as an avatar mode user interface, enabling a user to view the report while in an avatar mode of the metaverse application.

Abstract: In an electronic device and/or an operation method of the electronic device, a configuration of the electronic device may be changed using at least first configuration information relating to an electronic device function mapped to a first screen when the first screen is displayed as a screen while the electronic device is in a standby state, and the configuration of the electronic device may be changed using at least second configuration information relating to an electronic device function mapped when a second screen is displayed.

Abstract: A computer-implemented method for defining and creating a request intake flow for an issue tracking system is described. Embodiments described herein include systems and techniques for creating custom portal intake flows for an issue tracking system. The systems may include a user interface that allows portal intake flows to be generated and the user to select the information and workflow for an intake flow during the generation process. Embodiments are also directed to system and methods for creating dynamic summaries for issues managed by an issue tracking system. The dynamic summaries may be generated using a generative output model, as described herein, and provide information to a user about a current status, history or other events associated with an issue. Embodiments are directed to systems and methods for using a generative output engine to provide suggestions for creating a project management interface for an issue tracking system.