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    Application content management in 3D environments
    1.
    发明授权
    Application content management in 3D environments 有权

    公开(公告)号：US12130998B1

    公开(公告)日：2024-10-29

    申请号：US18099300

    申请日：2023-01-20

    申请人： Apple Inc.

    发明人： Adam W. B. Roben

    IPC分类号： G06F3/04815 ,  G06F3/01 ,  G06F3/0486

    CPC分类号： G06F3/04815 ,  G06F3/011 ,  G06F3/0486

    摘要： Various implementations disclosed herein include devices, systems, and methods that facilitate the use of application content such as text, images, video, and 3D models in XR environments. In some implementations, an XR environment is provided that has user interfaces from one or more separately executing applications. A user may use a user interface from one such application to create, edit, view and otherwise use a content item, e.g., create a document with text, images, etc., view a video, surf the web to view webpage content items. However, while a content item is within the application, the content item may be restricted with respect to access by the overall XR environment and/or one or more other content applications. Implementations disclosed herein enable users to provide input to use of the content from within one content application in the XR environment and/or one or more other applications.

    Glove
    4.
    外观设计
    Glove 有权

    公开(公告)号：USD1044142S1

    公开(公告)日：2024-09-24

    申请号：US29826104

    申请日：2022-02-09

    申请人： THE HILLMAN GROUP, INC.

    设计人： Christopher Matthew Weed ,  James Blake Fievet

    摘要： FIG. 1 is a dorsal side perspective view of a glove;
    FIG. 2 is front elevation view of the glove;
    FIG. 3 is a rear elevation view of the glove;
    FIG. 4 is a side elevation view of the glove;
    FIG. 5 is another side elevation view of the glove; and,
    FIG. 6 is a dorsal side top plan view of the glove.
    The broken lines shown in the figures represent portions of the glove that form no part of the claimed design. The palm side of the glove forms no part of the claimed design.

    Object scanning for subsequent object detection
    5.
    发明授权
    Object scanning for subsequent object detection 有权

    公开(公告)号：US12100229B2

    公开(公告)日：2024-09-24

    申请号：US17406134

    申请日：2021-08-19

    申请人： APPLE INC.

    发明人： Etienne Guerard ,  Omar Shaik ,  Michelle Chua ,  Zachary Z. Becker

    IPC分类号： G06V20/64 ,  G06T17/00 ,  G06V20/10 ,  H04N23/60 ,  H04N23/63

    CPC分类号： G06V20/64 ,  G06T17/00 ,  G06V20/10 ,  G06V20/647 ,  H04N23/635 ,  H04N23/64 ,  G06T2200/08

    摘要： Various implementations disclosed herein include devices, systems, and methods that facilitate the creation of a 3D model for object detection based on a scan of the object. Some implementations provide a user interface that a user interacts with to facilitate a scan of an object to create 3D model of the object for later object detection. The user interface may include an indicator that provides visual or audible feedback to the user indicating the direction that the capturing device is facing relative to the object being scanned. The direction of the capture device may be identified using sensors on the device (e.g., inertial measurement unit (IMU), gyroscope, etc.) or other techniques (e.g., visual inertial odometry (VIO)) and based on the user positioning the device so that the object is in view.

    Machine learning systems and methods for attributed sequences
    9.
    发明授权
    Machine learning systems and methods for attributed sequences 有权

    公开(公告)号：US12086718B2

    公开(公告)日：2024-09-10

    申请号：US16057025

    申请日：2018-08-07

    申请人： Amadeus S.A.S.

    发明人： Zhongfang Zhuang ,  Aditya Arora ,  Jihane Zouaoui ,  Xiangnan Kong ,  Elke Rundensteiner

    IPC分类号： G06N3/084 ,  G06N3/044 ,  G06N3/045

    CPC分类号： G06N3/084 ,  G06N3/044 ,  G06N3/045

    摘要： Machine learning systems and methods for embedding attributed sequence data. The attributed sequence data includes an attribute data part having a fixed number of attribute data elements and a sequence data part having a variable number of sequence data elements. An attribute network module includes a feedforward neural network configured to convert the attribute data part to an encoded attribute vector having a first number of attribute features. A sequence network module includes a recurrent neural network configured to convert the sequence data part to an encoded sequence vector having a second number of sequence features. In use, the machine learning system learns and outputs a fixed-length feature representation of input attributed sequence data which encodes dependencies between different attribute data elements, dependencies between different sequence data elements, and dependencies between attribute data elements and sequence data elements within the attributed sequence data.

    Distributed data processing
    10.
    发明授权
    Distributed data processing 有权

    公开(公告)号：US12086129B2

    公开(公告)日：2024-09-10

    申请号：US18376134

    申请日：2023-10-03

    申请人： Amadeus S.A.S.

    发明人： Philippe François Georges Gentric

    IPC分类号： G06F16/00 ,  G06F16/23 ,  G06F17/18 ,  G06F16/2455

    CPC分类号： G06F16/2365 ,  G06F17/18 ,  G06F16/24552

    摘要： Data is handled in a distributed computing environment comprising at least one server and a plurality of clients comprising at least a first client and a second client. The first client sends a first request for data to the second client, receives a first response from the second client as a response to the first quest, determines a probability of validity of the data requested based on a validity indication included in the first response indicating a probability that the data requested from the second client is invalid. The first client determines that the data requested by the first request and available from the second client is likely invalid, sends a second request to the server to obtain the data from the server and receives the data from the server.