Children's Ride-On Vehicle
    1.
    发明申请

    公开(公告)号:US20250083062A1

    公开(公告)日:2025-03-13

    申请号:US18960620

    申请日:2024-11-26

    Inventor: Rongzhi Cui

    Abstract: A children's ride-on vehicle includes a vehicle body comprising a substantially rectangular shape, a steering wheel, a front wheel assembly, a steering column, and a seat located above a storage compartment. The steering wheel has a substantially rectangular shape. The seat comprises a flat panel. The plane of the seat is coplanar with the top surface of the vehicle body. The vehicle comprises a connecting frame. The connecting frame is telescopically connected to the vehicle body. The vehicle comprises a removably connected cleaning attachment. The vehicle can be converted to a piece of luggage.

    HANDLING ELECTRONIC SIGNATURES IN COLLABORATION SYSTEMS

    公开(公告)号:US20250053924A1

    公开(公告)日:2025-02-13

    申请号:US18806675

    申请日:2024-08-15

    Applicant: Box, Inc.

    Abstract: Methods, systems, and computer program products for gathering electronic signatures to be applied to collaboration system content objects (e.g., contracts, letters, insurance claims, riders, etc.). A collaboration system monitors changes made to the collaboration system content objects during electronic signature processing. A module of the content management system is configured to associate one or more instances of e-signing metadata to one or more of the stored content objects of the content management system. The e-signing metadata indicates whether or not a particular portion of the one or more of the stored content objects has been e-signed by a designated e-signatory. A collaborator who is not one of the designated e-signatories makes a change to one or more of the stored content objects (e.g., contracts, letters, insurance claims, riders, etc.). The change is remediated on-the-fly and the e-signing process continues without having to restart the e-signing process from the beginning.

    USING SAMPLE QUESTION EMBEDDINGS TO CHOOSE BETWEEN AN LLM INTERFACING MODEL AND A NON-LLM INTERFACING MODEL

    公开(公告)号:US20240362213A1

    公开(公告)日:2024-10-31

    申请号:US18398058

    申请日:2023-12-27

    Applicant: Box, Inc.

    CPC classification number: G06F16/24522 G06F16/22 G06F16/24573 G06F40/40

    Abstract: Methods, systems, and computer program products for managing interactions between a content management system (CMS) and a large language model (LLM) system. The semantics of user questions can be considered before prompting an LLM, or alternatively, before querying datasets that are local to the CMS. Given a user question to be answered, the embedding of the user question can be matched against preconfigured sample question embeddings to determine a best match. A prompt corresponding to the determined best match is then configured based on identification of the class or classes that correspond to the matched question. Prompts for provision to LLMs can be synthesized based on a particular user's identity and/or based on the particular user's historical collaboration activities over objects of the CMS. The LLM can be hosted by a third-party provider. Alternatively all or portions of a large language model system can be hosted within the CMS.

    Furniture Objects
    4.
    发明公开
    Furniture Objects 审中-公开

    公开(公告)号:US20240298806A1

    公开(公告)日:2024-09-12

    申请号:US18598942

    申请日:2024-03-07

    CPC classification number: A47C17/23 A47C17/132

    Abstract: A variety of apparatuses are disclosed, including, in one embodiment, a sofa bed, that includes opposing arm rest sections, a back section, and a pull-out section, that includes a honeycomb structure disposed between the opposing arm rest sections, where the honeycomb structure of each pull-out section is configured to change between an extended and a non-extended position.

    HANDLING COLLABORATION AND GOVERNANCE ACTIVITIES THROUGHOUT THE LIFECYCLE OF AUTO-GENERATED CONTENT OBJECTS

    公开(公告)号:US20240214384A1

    公开(公告)日:2024-06-27

    申请号:US18087620

    申请日:2022-12-22

    Applicant: Box, Inc.

    CPC classification number: H04L63/104 G06F16/908 H04L63/101 H04L65/1093

    Abstract: Methods, systems, and computer program products for automated document generation within a collaboration system. Multiple components are operatively interconnected to carry out automated document generation operations. Collaboration activity limitations are enforced over newly-generated documents. The document generation process produces newly-generated documents and other outputs that are stored in the collaboration system. Operational elements of the collaboration system are able to access the generated document and other document generation system outputs to perform content analysis. Based at least in part on results of the content analysis, characteristics of the generated document and characteristics of the corresponding document system I/O, the collaboration system assigns and/or modifies access parameters of the newly-generated document and its metadata. The access parameters control ongoing enforcement of document handling policies. The document generation process gathers information from third-party systems to produce situation- or application-specific generated documents.

    Furniture Objects
    8.
    发明公开
    Furniture Objects 审中-公开

    公开(公告)号:US20240188723A1

    公开(公告)日:2024-06-13

    申请号:US18583645

    申请日:2024-02-21

    CPC classification number: A47C19/025 A47C19/005

    Abstract: In general, in one aspect, embodiments relate to furniture objects. The furniture may be a sofa or a bed. A flexible foldable honeycomb structure is included in the furniture to provide a supporting structure that has a high bearing capacity. Various examples of bed bases are provided that include the honeycomb structure. The honeycomb structure is designed to be foldable and used for saving space and to be easier for delivery.

    Real-time modification of application programming interface behavior

    公开(公告)号:US11983580B2

    公开(公告)日:2024-05-14

    申请号:US17452773

    申请日:2021-10-28

    Applicant: Box, Inc.

    CPC classification number: G06F9/541 G06F16/2379 G06F21/6245 G06F2221/2113

    Abstract: Methods, systems, and computer program products for application-specific, real-time modification of application programming interface behavior. Meaning is derived from analysis of human-readable intelligence found in a collaboration object of a content management system. The meaning is used to inform the behavior of an application programming interface that is exposed to applications that interface with the content management system. The content management system invokes a range of analysis modules that examine the human-intelligible contents of a requested collaboration object to determine meaning from the human-intelligible contents. Content-derived tags are emitted based on the analysis. When the application invokes an entry point of the API, a set of content-derived tags are associated with the application, and the occurrence and/or values of the content-derived tags are then used in rules. The results of evaluation of the rules determine how the API will respond to the application.

    Detection of personally identifiable information

    公开(公告)号:US11941147B2

    公开(公告)日:2024-03-26

    申请号:US17463372

    申请日:2021-08-31

    Applicant: Box, Inc.

    CPC classification number: G06F21/6245

    Abstract: Methods, systems, and computer program products for detection of personally identifiable information (PII). A first detector and a second detector are configured to interoperate. The first detector is different from the second detector and the second detector incurs a greater computational cost than the first detector when processing identical content. Content is presented to the first detector so as to implement a first type of PII detection that is based at least in part on regular expression analysis using regular expressions. The content is presented to the second detector. The second detector performs PII detection based on content analysis that is different from the first detector's regular expression analysis. The second detector causes generation of new regular expressions based on the content analysis and the first detector is updated with such new regular expressions. Performance of the first detector is continually improved as new regular expressions are generated.

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