394 results about "Computer generation" patented technology

Methods for displaying and organizing user interfaces in a computer-generated environment provide for an efficient and intuitive user experience. In some embodiments, user interfaces can be grouped together into a container. In some embodiments, user interfaces can be added to a container, removed from a container, or moved from one location in the container to another location. In some embodiments, a visual indication is displayed before a user interface is added to a container. In some embodiments, a user interface can replace an existing user interface in a container. In some embodiments, when moving a user interface in a computer-generated environment, the transparency of a user interface that is obscured can be modified.

Methods for counter-scaling windows and rearranging objects within those counter-scaled windows in a 3D computer-generated environment is disclosed. The windows can be counter-scaled in accordance with changes to their depth within the 3D computer-generated environment. Objects within the window can be presented at their actual size and with their correct scale relative to each other and with respect to the 3D computer-generated environment, and can maintain their actual size and scale relative to each other and the environment regardless of the depth of the window in the environment. Some embodiments of the disclosure rearrange the layout of the objects to present more or fewer objects in the window as the size of the window changes due to counter-scaling. Depth-dependent window resizing and object rearrangement while preserving actual object size and scale within the 3D computer-generated environment can provide a more authentic viewing experience and can encourage increased user interaction.

Methods for displaying user interfaces in a computer-generated environment provide for an efficient and intuitive user experience. In some embodiments, user interfaces can have different immersion levels. In some embodiments, a user interface can have a respective immersion level based on its location in the three-dimensional environment or distance from the user. In some embodiments, a user interface can have a respective immersion level based on the state of the user interface. In some embodiments, a user interface can switch from one immersion level to another in response to the user's interaction with the user interface.

Disclosed is a head-mounted display system comprising a head-mounted display unit producing a computer-generated output for a user. The head-mounted display unit includes at least one sensor. The at least one sensor may be configured to measure a parameter associated with digital eye strain for the user. The at least one sensor may be configured to communicate a measured parameter to a processor, wherein the processor is configured to effect change on the computer-generated output based on the measured parameter.

A computing system displays, via a first display generation component, a computer-generated environment, and concurrently displays status information corresponding to the computing system via the second display generation component, including concurrently displaying: a visual representation of a portion of a user of the computing system who is in a position to view the computer-generated environment via the first display generation component, and one or more graphical elements that provide a visual indication of content in the computer-generated environment. The computing system detects a respective event; and in response, the computing system changes a level of immersion of the computer-generated environment displayed via the first display generation component, and changes the status information that is displayed via the second display generation component, including changing an appearance of the visual representation of the portion of the user of the computing system.

Visual programming provides an efficient and intuitive user experience in an enhanced reality computer-generated environment. In some embodiments, a graphical representation of a programming structure is displayed in a computer-generated environment, and various interactions with the graphical representation of the programming structure are provided to define behavior of objects in a computer-generated environment. In some embodiments, the behavior of the object is defined by a trigger and an action. In some embodiments, the various interactions include adding one or more graphical representations of programming objects to the graphical representation of the programming structure, removing one or more graphical representations of programming objects from the graphical representation of the programming structure or from the computer-generated environment, and / or previewing the behavior defined by the graphical representation of the programming structure.

Systems, methods, and other embodiments described herein relate to superimposing computer-generated exterior vehicle lights over asynchronous real-world exterior vehicle lights to reduce a sensory overload of a vehicle driver. In one embodiment, a method includes assessing a sensory environment of a vehicle driver. The method also includes determining that the vehicle driver is in a sensory-overloaded state based on 1) a characteristic of the sensory environment, 2) physiological sensor data for the vehicle driver, and 3) driving behavior sensor data. The method also includes superimposing an augmented reality (AR) overlay of computer-generated synchronized exterior vehicle lights over asynchronous real-world exterior vehicle lights viewed through an AR display device of the vehicle based on a determination that the vehicle driver is in the sensory-overloaded state.

Some examples of the disclosure are directed to systems and methods for synchronizing display of content among multiple devices. In some examples, a first electronic device detects a second display in communication with a second electronic device at a first location in a physical environment of the first electronic device. In some examples, in response to detecting the second display, in accordance with a determination that one or more criteria are satisfied, the first electronic device displays a first object at a first location in a computer-generated environment that corresponds to the first location in the physical environment, wherein the first object includes first content. In some examples, in accordance with a determination that the one or more criteria are not satisfied, the first electronic device forgoes display of the first object at the first location in the computer-generated environment.

Computer-based generation of information-gathering questions in response to a user query can include parsing the user query using natural language processing and extracting from the user query one or more phrases corresponding to a predetermined category. A knowledge database can be accessed, and entities semantically related to each phrase can be extracted therefrom. A query sub-graph representing a relationship between each of the one or more phrases and the entities extracted from the knowledge database can be generated. An expanded user query can be generated by traversing the query sub-graph. Passages semantically related to the expanded user query can be retrieved from one or more passages databases and ranked. A neural question generator can generate a set of information-gathering questions based on the expanded user query and a group of select passages selected from the plurality of passages in accordance with each selected passage's ranking.

A method of generating a cropped view of a computer-generated three-dimensional (3D) computer-aided design (CAD) model includes displaying the model on a computer display, receiving an indication that an element from the displayed model has been selected as a target geometry, creating a boundary shape on the selected target geometry, and generating a cropped view of the model. The method includes forming a boundary shape on a model, extending a boundary line of the boundary shape in a normal direction through the model to establish a boundary, partitioning the model at the boundary to divide a first portion of the model located within the boundary and a second portion of the model located outside the boundary, and visually displaying the first portion of the model located within the boundary based on the partitioned model. And generating a visual description of the clipping representation of the model by hiding or displaying a second portion of the model outside the boundary in a transparent state with only edges.

The invention relates to an eyewear display system (1) for displaying a virtual image in a field of view of a user, the eyewear display system comprising: a display unit (14) for emitting light (163", 161'', 162'') as computer-generated image information in an emission direction; a deflection unit (17) for deflecting the light (163", 161'', 162'') emitted by the display unit (14) as computer-generated image information into an eye (10) of the user; and a plurality of micromirror elements (12, 12', 12"), each of which can be tilted in a support structure (200) and each of which has a reflective surface (25) for deflecting the light (163", 161", 162") emitted by the display unit (14) as computer-generated image information; wherein the micromirror elements (12, 12', 12'') and the support structure (200) are arranged in a sealed housing element (17a) of the deflection unit (17), said housing element being filled with a liquid (23), in order to provide an eyewear display system (1) which offers improved immersion.

A computer-implemented method, a computer program product, and a computer system for phygital integration in commerce-based checkout experiences. A computer aggregates data from one or more personal devices of a user and data from one or more biosensors of the user. A computer trains a machine learning model on features extracted from aggregated data. A computer uses the machine learning model to predict purchase preferences of the user and to generate for the user personalized recommendations, promotions, and loyalty rewards. A computer generates notifications about the personalized recommendations, promotions, and loyalty rewards. A computer transmits the notifications to the one or more personal devices. A computer monitors interactions of the user with the personalized recommendations, promotions, and loyalty rewards. A computer uses information of the interactions to train the machine learning model for future prediction of the purchase preferences and future generation of the personalized recommendations, promotions, and loyalty rewards.

A digital assistant may be used with a computer-generated environment. In some embodiments, a digital assistant is invoked and / or terminated via user input. In some embodiments, the digital assistant is displaying in a computer-generated environment. In some embodiments, the digital assistant may be used to interact with objects in a computer-generated environment. Devices, methods, and graphical user interfaces for a digital assistant provide an improved user experience for computer-generated environments.

A three-dimensional computer-generated environment can be presented to a user. The user can create a virtual representation of a real-world object within the computer-generated environment by directing an input device towards the real-world object and tracing contours of the real-world object. The virtual representation can include voxels. The user can edit the virtual representation or create a new virtual object formed of voxels by depositing or removing voxels at virtual locations within the computer-generated environment based on selection inputs, release inputs, and optionally movement inputs detected by the input device. In some cases, the user can provide inputs via another input source, such as a hand of the user, that are detected by additional sensors or devices.

Systems and methods are disclosed for generating and providing guided practices and coaching feedback (e.g., illustrated in 3D images, video, or audio) that allow users performing sports activities to follow along to improve their physical movements in a digital environment. The feedback may be provided with a 3D avatar using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to watchlist values, animate the 3D avatar based on the measurements, and display the 3D avatar on a computer-generated user interface.

The disclosure relates to systems and methods of automatically generating unique content including natural language text based on a corpus of previously generated response documents and discrete requirements defined in a requirements specification. The system may use generative stitching that includes multi-layer processes that execute to influence the generation of unique content including natural language text through an artificial intelligence (AI) language transformer model trained to output the content based on previously written material that is semantically relevant to the discrete requirements and is weighted against labeled attributes. The labeled attributes may determine the influence asserted against the language transformer, thereby generating unique on-target content that may be combined to create a computer-generated response document.

There is provided an image processing method for generating images including a volumetric effect. The method comprises: sampling, using a three-dimensional grid, computer-generated volumetric effect data for a virtual scene at a first sampling resolution, to obtain a first set of sampling results; upscaling at least part of the first set of sampling results by interpolating between samples of the at least part of the first set of sampling results, to obtain a second set of sampling results having a second, higher, sampling resolution; and generating one or more display images for the virtual scene at least partly in dependence on the second set of sampling results.

A user-described virtual environment method, system, and apparatus obtains a representation of an object and receives a natural language-based communication from a user requesting that a computer-implemented system embody the object within a virtual environment that is described by the user. The natural language description of the virtual environment is interpreted by applying a computer-implemented trained neural network A video stream that embodies the object within a computer-generated virtual environment that is in accordance with the user-described virtual environment is generated by applying a trained neural network and then delivered to the user. The user may then describe desired modifications to the virtual environment and a second video stream is generated in accordance with the desired modifications.

A system implements an emergent web space to bind a host computer to one or more client computers. A host computer generates data aspects of characteristically random data to create emergent web spaces in which website resources can be rendered by one or more client computers intersecting the same emergent web spaces. A binding is established between the host computer and one or more client computers when a block of true random data generated by the host computer is provided to the one or more client computers. A unique block of true random data together with the remote storage of data aspects constitutes a zone. A software application executing on the one or more client computers is configured to retrieve data aspects from within the same zone, and further configured to resolve and then render website resources.

A method for generating automated discourse data using computer-generated synthetic personas is disclosed. The method is implemented at a synthetic discourse data service executing as an API-based application within a distributed network of computers. The method includes receiving discourse input data via an API endpoint from a client device, generating an embedding vector representation of the discourse input data using a GPU-accelerated embedding generation model, and identifying candidate computer-simulated personas from a vector database. A subset of personas is dynamically selected based on a computed persona relevance score derived from vector distance calculations. A discourse activation value is computed for each selected persona, determining its engagement in a simulated discourse session. A batch processing framework instantiates an engagement subset of personas, which participate in a computer-simulated discourse session, generating synthetic discourse data stored in memory. The synthetic discourse data is selectively transmitted to a client device via an API response.

A method for generating automated discourse data using computer-generated synthetic personas is disclosed. The method is implemented at a synthetic discourse data service executing as an API-based application within a distributed network of computers. The method includes receiving discourse input data via an API endpoint from a client device, generating an embedding vector representation of the discourse input data using a GPU-accelerated embedding generation model, and identifying candidate computer-simulated personas from a vector database. A subset of personas is dynamically selected based on a computed persona relevance score derived from vector distance calculations. A discourse activation value is computed for each selected persona, determining its engagement in a simulated discourse session. A batch processing framework instantiates an engagement subset of personas, which participate in a computer-simulated discourse session, generating synthetic discourse data stored in memory. The synthetic discourse data is selectively transmitted to a client device via an API response.

Computing systems, computer-readable media, and methods for providing multiple computer-generated seismic data interpretation options, of which the method includes receiving a training input, sorting the training input into a first group and a second group, subgrouping the second group into a plurality of subgroups, generating a plurality of trained models based on the plurality of subgroups and the first group, receiving a prediction input having a set of data to be interpreted, generating a plurality of interpretation options for the prediction input by applying the plurality of training models to the prediction input, and outputting the plurality of interpretation options.

Various embodiments are directed towards techniques for determining materials for computer-generated designs that include generating a query prompt based on an assembly context, transmitting the query prompt to a plurality of large language model (LLM) agents for processing, receiving a plurality of material attribute filters from the plurality of LLM agents, where each LLM generates a different material attribute filter when processing the query prompt, combining the material attribute filters included in the plurality of material attribute filters to produce a material query, querying a material database using the material query to identify at least one potential material to use for a design, evaluating simulation results to determine whether the at least one material is an appropriate material to use for the design.

A method is provided. The method is executed by an automation engine implemented as a computer program within a computing environment. The automation engine executing processing strategy based on a problem statement. The method includes receiving the problem statement comprising a specific requested task in natural language and automatically processing the problem statement by utilizing a generative artificial intelligence (AI) model to manipulate the natural language of the problem statement to create a new computer digestible script defining the specific requested task. The method includes automatically determining the processing strategy comprising an automation plan of computer generated steps that achieves the specific requested task and executing the plurality of existing automations according to the processing strategy.

Methods, systems, and apparatus for generating trajectory predictions for one or more target agents. In one aspect, a system comprises one or more computers configured to obtain scene context data characterizing a scene in an environment at a current time point, where the scene includes multiple agents that include a target agent and one or more context agents, and the scene context data includes respective context data for each of multiple different modalities of context data. The one or more computers then generate an encoded representation of the scene in the environment that includes one or more embeddings and process the encoded representation of the scene context data using a decoder neural network to generate a trajectory prediction output for the target agent that predicts a future trajectory of the target after the current time point.

Devices, methods, and graphical interfaces for content applications displayed in an XR environment provide for an efficient and intuitive user experience. In some embodiments, a content application is displayed in a three-dimensional computer-generated environment. In some embodiments, different viewing modes and user interfaces are available for a content application in a three-dimensional computer-generated environment. In some embodiments, different interactions are available with content items displayed in the XR environment.

According to various implementations, a method includes obtaining pose data that indicates a plurality of poses of the electronic device within a physical environment. The method includes obtaining a representation of a three-dimensional (3D) environment. The representation of the 3D environment includes a plurality of planes. Each of the plurality of planes defines a plurality of points in xy space. The representation of the 3D environment does not include z space (e.g., depth) information. The method includes anchoring the representation of the 3D environment to a physical anchor point within the physical environment based on the pose data. The method includes anchoring a computer-generated object to the representation of the 3D environment based on the pose data. For example, the pose data includes z space (e.g., depth) information, which is used to anchor the computer-generated object to the representation of the 3D environment.

An extended reality (XR) system is described herein. The XR system includes a display system mounted to the headset for displaying a display screen including computer-generated images thereon, and a controller that includes one or more processors programmed to execute an algorithm for operating in an optical character recognition (OCR) mode to display a text selection screen by generating an image distortion zone within the text selection screen associated with a non-viewable boundary and modifying received video images to adjust a viewable image attribute of a portion of the received video images displayed within the image distortion zone, and operating in the scrolling text mode to display a text display screen by generating machine-readable text OCR and modifying the generating machine-readable text using a lightweight language model for text correction.

A head-mounted device may be worn on the face of a user. The head-mounted device may include a user-viewable display that presents inwardly directed user-viewable images such as virtual reality images to the user. The head-mounted device may also have a publicly viewable display that presents publicly viewable images to individuals near the user. The publicly viewable images may overlap facial features of the user's face. Publicly viewable images may include captured images of user facial features or other content, may include computer-generated graphics such as user facial feature graphics, may contain a mixture of captured image content and overlaid graphics such as user facial feature graphics, or may contain other publicly viewable content. User monitoring sensors such as camera and gaze detection sensors, environmental sensors, and other circuitry in the head-mounted device may gather information that is used in adjusting the publicly viewable images.

To provide methods and computing systems utilizing automations and robotic process automations integrated with generative artificial intelligence models to accomplish a specifically requested task.SOLUTION: A method implemented by an automation engine, which is implemented as a computer program within a computing environment and executes processing strategy based on a problem statement, includes: receiving the problem statement comprising a specific requested task in natural language 910; automatically processing the problem statement by utilizing a generative artificial intelligence (AI) model to manipulate the natural language of the problem statement to create a new computer digestible script defining the specific requested task 920; automatically determining the processing strategy comprising an automation plan of computer generated steps that achieves the specific requested task 940; and executing the plurality of existing automations according to the processing strategy 950.SELECTED DRAWING: Figure 9