AI-GENERATED CONTENT DETECTION
    1.
    发明申请

    公开(公告)号:US20250062909A1

    公开(公告)日:2025-02-20

    申请号:US18235357

    申请日:2023-08-18

    Abstract: A method for detecting content generated by artificial intelligence is disclosed. In one embodiment, such a method includes monitoring interaction between a user and a generative AI model. The method intercepts a response returned from the generative AI model to the user and embeds, within the response prior to its return to the user, codes that are invisible to the user when viewing the response. In certain embodiments, these codes are embedded within the response in a particular invisible code insertion pattern to indicate that the response was generated by the generative AI model. The method returns the response to the user for viewing. A third party may utilize the embedded codes to determine whether the response was generated by the generative AI model. A corresponding system and computer program product are also disclosed herein.

    INTELLIGENT SELF-GROWING AVATAR
    2.
    发明申请

    公开(公告)号:US20250053773A1

    公开(公告)日:2025-02-13

    申请号:US18448288

    申请日:2023-08-11

    Abstract: A method for maintaining an intelligent self-growing avatar (ISGA) in a metaverse is presented including supporting the ISGA with an ISGA server communicating with an ISGA client, collecting, via an ISGA data structure, personal characteristics and activities of a person in a real world, creating, via an avatar creator, an avatar having the personal characteristics of the person in the real world, training, via an ISGA trainer, the avatar to recognize and respond to the activities and relationships of the real person, and changing, via an ISGA adjuster, a behavior and personality of the avatar based on the activities and relationships of the real person in the real world to allow the avatar to continuously grow and evolve in the metaverse.

    NON-FUNGIBLE TOKEN REGISTRATION AND VERIFICATION METHODS

    公开(公告)号:US20240413998A1

    公开(公告)日:2024-12-12

    申请号:US18331921

    申请日:2023-06-08

    Abstract: A method and system for registering images as non-fungible token images include a non-fungible token verifier verifying that an image has not been registered as a registered non-fungible token. Once the image is verified, an object recognizer recognizes objects of the image that are classified into a object queue. A characteristic extractor then extracts one or more characteristics of the queued objects. A non-fungible token denormalizer then denormalizes the image into one or more denormalized images each having denormalization attributes. A uniqueness purifier then inspects objects of each of the denormalized images for characteristics extracted from objects in the queue, where matching characteristics between the objects of the denormalized images and objects of the image define unique parameters. Non-fungible token register then registers the image as a unique non-fungible token image. A non-fungible token verification method is carried out along with, or independent of, the non-fungible token registration method.

    Incorporating internet of things (IoT) data into chatbot text entry data

    公开(公告)号:US12113754B1

    公开(公告)日:2024-10-08

    申请号:US18381077

    申请日:2023-10-17

    CPC classification number: H04L51/02 G16Y20/40

    Abstract: A computer-implemented method, according to various approaches, includes parsing a first collection of data into a plurality of elements. A first sub-set of the elements includes text entry data and a second sub-set of the elements includes IoT data. In response to a determination that the text entry data does not satisfy a predetermined threshold of specificity, the first collection of data is rephrased into a second collection of data. The method further includes causing the second collection of data to be sent to a determined chatbot server and causing a first output of the determined chatbot server to be returned to a first user device. The first output is an answer to the second collection of data.

    Heterogeneous schema discovery for unstructured data

    公开(公告)号:US11947561B2

    公开(公告)日:2024-04-02

    申请号:US17807884

    申请日:2022-06-21

    Abstract: An embodiment for analyzing and tracking data flow to determine proper schemas for unstructured data. The embodiment may automatically use a sidecar to collect schema discovery rules during conversion of raw data to unstructured data. The embodiment may automatically generate multiple schemas for different tenants using the collected schema discovery rules. The embodiment may automatically use ETL to export unstructured data to SQL databases with the generated multiple schemas for the different tenants. The embodiment may automatically monitor usage data of the SQL databases and collect the usage data. The embodiment may automatically optimize schema discovery using the collected usage data. The embodiment may automatically discover schemas with hot usage and apply the discovered schemas with hot usage to other tenants for consumption and further monitoring.

    Multipart uploading to object-based storage

    公开(公告)号:US11893257B2

    公开(公告)日:2024-02-06

    申请号:US17840762

    申请日:2022-06-15

    CPC classification number: G06F3/0646 G06F3/0604 G06F3/064 G06F3/0673

    Abstract: A system may include a memory and a processor in communication with the memory configured to perform operations. The may operations include obtaining transaction logs in blocks from nodes of a data storage system. The operations may include, for each transaction log, splitting the transaction log into log entries, grouping log entries into groups associated with a same data source, and writing the log entries of the groups to empty blocks such that log entries from different groups do not share a same block. The operations may include identifying a same sequence of log entries from the written transaction logs and uploading first blocks of a first transaction log, including the same sequence of log entries, to an object-based storage without uploading second blocks of a second transaction log including the same sequence of log entries to the object-based storage.

    WORKFLOW OPTIMIZATION AND RE-DISTRIBUTION
    9.
    发明公开

    公开(公告)号:US20240004723A1

    公开(公告)日:2024-01-04

    申请号:US17809570

    申请日:2022-06-29

    CPC classification number: G06F9/5088 G06F9/5066 G06N5/02

    Abstract: Workflow optimization and re-distribution involves a target task set that is determined from a plurality of tasks in a workflow and based on a data flow of the workflow. The target task set is re-distributed to obtain at least one re-distributed task set. Each re-distributed task set indicates a respective data path different from a data path of the target task set and has a same function as the target task set. A simulated data flow for the at least one re-distributed task set is obtained by simulating data flowing in at least one data path indicated by the at least one re-distributed task set. An optimized task set for the target task set is determined based on the simulated data flow for the at least one re-distributed task set.

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