Node-based control and collaboration systems

    公开(公告)号:US12124996B2

    公开(公告)日:2024-10-22

    申请号:US17570278

    申请日:2022-01-06

    Abstract: A system includes processing hardware, and a memory storing software code including a hierarchical user interface (UI). The processing hardware executes the software code to receive from a first user, via the hierarchical UI, project data describing a project, and a project task for completion by a second user, and to generate, using the project data, a node-based graph of the project including the project task. The processing hardware further executes the software code to receive, via the hierarchical UI in response to performance of at least a portion of the project task by the second user, a task progression or task completion data, update, using the task progression or task completion data, the node-based graph, and display to the first user, via the hierarchical UI, the updated node-based graph and the task progression data or task completion data.

    Automated Salience Assessment of Pixel Anomalies

    公开(公告)号:US20210312213A1

    公开(公告)日:2021-10-07

    申请号:US16840201

    申请日:2020-04-03

    Abstract: According to one implementation, a system for performing automated salience assessment of pixel anomalies includes a computing platform having a hardware processor and a system memory storing a software code. The hardware processor is configured to execute the software code to analyze an image for a presence of a pixel anomaly in the image, obtain a salience criteria for the image when the analysis of the image detects the presence of the pixel anomaly, and classify the pixel anomaly as one of a salient anomaly or an innocuous anomaly based on the salience criteria for the image. The hardware processor is further configured to execute the software code to disregard the pixel anomaly when the pixel anomaly is classified as an innocuous anomaly, and to flag the pixel anomaly when the pixel anomaly is classified as a salient anomaly.

    COLLABORATIVE AI STORYTELLING
    3.
    发明申请

    公开(公告)号:US20200019370A1

    公开(公告)日:2020-01-16

    申请号:US16034310

    申请日:2018-07-12

    Abstract: Implementations of the disclosure describe AI systems that offer an improvisational story telling AI agent that may interact collaboratively with a user. In one implementation, a story telling device may be implemented using i) a natural language understanding (NLU) component to process human language input (e.g., digitized speech or text input); ii) a natural language processing (NLP) component to parse the human language input into a story segment or sequence; iii) a component for storing/recording the story as it is created by collaboration; iv) a component for generating AI-suggested story elements; and v) a natural language generation (NLG) component to transform the AI-generated story segment into natural language that may be presented to the user.

    Proactive conflict resolution in node-based collaboration systems

    公开(公告)号:US12165107B2

    公开(公告)日:2024-12-10

    申请号:US17570289

    申请日:2022-01-06

    Abstract: A system includes processing hardware, a user interface (UI), and a system memory storing a software code. The processing hardware executes the software code to receive from a first user, via the UI, project data identifying a project including multiple tasks, determine, using the project data, a node-based graph of the project including the tasks, receive from a first user or a second user via the UI, task action data producing a modification to the node-based graph, and identify, based on the modification to the node-based graph, one of a conflict or a potential future conflict among at least two nodes of the node-based graph. The software code further identifies a conflict avoidance strategy for resolving the conflict or preventing the potential future conflict, and displays, via the UI, the conflict avoidance strategy to the first user or the second user, or performs the conflict avoidance strategy.

    Node-Based Control and Collaboration Systems

    公开(公告)号:US20220215326A1

    公开(公告)日:2022-07-07

    申请号:US17570278

    申请日:2022-01-06

    Abstract: A system includes processing hardware, and a memory storing software code including a hierarchical user interface (UI). The processing hardware executes the software code to receive from a first user, via the hierarchical UI, project data describing a project, and a project task for completion by a second user, and to generate, using the project data, a node-based graph of the project including the project task. The processing hardware further executes the software code to receive, via the hierarchical UI in response to performance of at least a portion of the project task by the second user, a task progression or task completion data, update, using the task progression or task completion data, the node-based graph, and display to the first user, via the hierarchical UI, the updated node-based graph and the task progression data or task completion data.

    Automated Pixel Error Detection Using an Inpainting Neural Network

    公开(公告)号:US20210304387A1

    公开(公告)日:2021-09-30

    申请号:US16836453

    申请日:2020-03-31

    Abstract: According to one implementation, a pixel error detection system includes a hardware processor and a system memory storing a software code. The hardware processor is configured to execute the software code to receive an input image, to mask, using an inpainting neural network (NN), one or more patch(es) of the input image, and to inpaint, using the inpainting NN, the masked patch(es) based an input image pixels neighboring each of the masked patch(es). The hardware processor is configured to further execute the software code to generate, using the inpainting NN, a residual image based on differences between the inpainted masked patch(es) and the patch(es) in the input image and to identify one or more anomalous pixel(s) in the input image using the residual image.

    Techniques for streaming a media title based on user interactions with an internet of things device

    公开(公告)号:US11109099B1

    公开(公告)日:2021-08-31

    申请号:US17005271

    申请日:2020-08-27

    Abstract: In various embodiments, an interactive streaming application plays back a media title via a client device. In operation, the interactive streaming application causes the client device to playback a first chunk of the media title. While the client device plays back the first chunk, the interactive streaming application determines a movement of an internet of things (“IoT”) device that is controlled by the user. The interactive streaming application performs reinforcement-learning operation(s) based on the first chunk and the movement to determine a second chunk of the media title to playback. The interactive streaming application then causes the client device to playback the second chunk of the media title. Advantageously, the interactive streaming application can automatically personalize the playback of the media title for the user based, at least in part, on movements of the IoT device.

    Image Compression Using Normalizing Flows

    公开(公告)号:US20210142524A1

    公开(公告)日:2021-05-13

    申请号:US16811219

    申请日:2020-03-06

    Abstract: According to one implementation, an image compression system includes a computing platform having a hardware processor and a system memory storing a software code. The hardware processor executes the software code to receive an input image, transform the input image to a latent space representation of the input image, and quantize the latent space representation of the input image to produce multiple quantized latents. The hardware processor further executes the software code to encode the quantized latents using a probability density function of the latent space representation of the input image, to generate a bitstream, and convert the bitstream into an output image corresponding to the input image. The probability density function of the latent space representation of the input image is obtained based on a normalizing flow mapping of one of the input image or the latent space representation of the input image.

    Automated Content Transport Security
    9.
    发明公开

    公开(公告)号:US20240348615A1

    公开(公告)日:2024-10-17

    申请号:US18750957

    申请日:2024-06-21

    CPC classification number: H04L63/10 G06F21/10 G06N20/00 H04L63/0245

    Abstract: A content transport security system includes a computing platform having processing hardware and a memory storing software code and a database including one or more business rule(s). The processing hardware executes the software code to intercept a content file including a content asset, during a file transfer of the content file between a client device and a destination device, determine an authorization status of the destination device, and decrypt the content file, using a decryption key corresponding to an encryption key available to the client device. The processing hardware further executes the software code to search the content asset for a forensic identifier, assign a classification to the file transfer, based on the authorization status and a result of the searching, the classification being one of allowable, forbidden, or suspicious, and allow or block the file transfer to the destination device, based on the classification and the business rule(s).

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