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    SYNCHRONIZATION OF ENVIRONMENTS DURING EXTENDED REALITY EXPERIENCES
    14.
    发明申请
    SYNCHRONIZATION OF ENVIRONMENTS DURING EXTENDED REALITY EXPERIENCES 审中-公开

    公开(公告)号：US20200211506A1

    公开(公告)日：2020-07-02

    申请号：US16234089

    申请日：2018-12-27

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Eric Zavesky ,  Zhu Liu ,  David Crawford Gibbon ,  Behzad Shahraray ,  Paul Triantafyllou ,  Tan Xu

    IPC: G09G5/12

    Abstract: In one example, a method includes monitoring conditions in a real environment in which a user is present, wherein the monitoring is performed by collecting data about the conditions from a plurality of sensors located in the real environment, transmitting the data about the conditions to an extended reality device that is present in the real environment, where the extended reality device is configured to render a virtual environment, interpolating between the real environment and the virtual environment, based at least in part on the conditions, to determine an actual extended reality environment that is being presented to the user, and sending a signal to a device that is located in the real environment, based on the interpolating, wherein the signal instructs the device to take an action that modifies at least one of the conditions in the real environment.

    Guided Network Management
    15.
    发明申请
    Guided Network Management 审中-公开

    公开(公告)号：US20190199599A1

    公开(公告)日：2019-06-27

    申请号：US15852017

    申请日：2017-12-22

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Eric Zavesky ,  Ryan Cullinane ,  Russell Fischer ,  Mary Keefe Hirsekorn ,  Jeffrey Stein ,  Paul Triantafyllou

    IPC: H04L12/24 ,  H04L12/26

    CPC classification number: H04L41/16 ,  H04L41/0645 ,  H04L41/0672 ,  H04L41/145 ,  H04L41/22 ,  H04L43/0823

    Abstract: The concepts and technologies disclosed herein are directed, in part, to a system that can monitor traffic traversing a virtualized network that includes a plurality of virtual network functions (“VNFs”) that provide, at least in part, a service. The system can capture an event from the traffic. The event can involve at least one VNF, and can negatively affect at least one operational aspect of the virtualized network in providing the service. The system can create snapshot that represents a network state of the virtualized network during the event. The system can create, based upon the snapshot, a shadow network. The shadow network can include a network emulation of the network state of the virtualized network during the event. The system can determine, from the shadow network, at least one modification to at least a portion of the virtualized network that would at least mitigate negative effects of the event.

    System for delivery of XR ad programs
    17.
    发明授权
    System for delivery of XR ad programs 有权

    公开(公告)号：US12020292B2

    公开(公告)日：2024-06-25

    申请号：US17962977

    申请日：2022-10-10

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Eric Zavesky ,  Paul Triantafyllou ,  Tan Xu ,  Zhu Liu

    IPC: G06Q30/02 ,  G06Q30/0241 ,  G06T11/60

    CPC classification number: G06Q30/0276 ,  G06T11/60 ,  G06T2200/24

    Abstract: Aspects of the subject disclosure may include, for example, a method including obtaining an advertisement package, wherein the advertisement package defines an interactive extended reality advertisement and includes a plurality of optional features; obtaining information about a user, their equipment, and their environment; creating an interactive extended reality advertisement by choosing a selected feature of the plurality of optional features according to the user information; and presenting the interactive extended reality advertisement to the user equipment. Other embodiments are disclosed.

    OBJECT MODELING WITH ADVERSARIAL LEARNING
    20.
    发明申请
    OBJECT MODELING WITH ADVERSARIAL LEARNING 有权

    公开(公告)号：US20220026905A1

    公开(公告)日：2022-01-27

    申请号：US17493770

    申请日：2021-10-04

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Eric Zavesky ,  Raghuraman Gopalan ,  Behzad Shahraray ,  David Crawford Gibbon ,  Bernard S. Renger ,  Paul Triantafyllou

    IPC: G05D1/00 ,  G06N5/02 ,  B60W30/095 ,  G06K9/00 ,  G06K9/62

    Abstract: Methods, computer-readable media, and devices are disclosed for improving an object model based upon measurements of physical properties of an object via an unmanned vehicle using adversarial examples. For example, a method may include a processing system capturing measurements of physical properties of an object via at least one unmanned vehicle, updating an object model for the object to include the measurements of the physical properties of the object, where the object model is associated with a feature space, and generating an example from the feature space, where the example comprises an adversarial example. The processing system may further apply the object model to the example to generate a prediction, capture additional measurements of the physical properties of the object via the at least one unmanned vehicle when the prediction fails to identify that the example is an adversarial example, and update the object model to include the additional measurements.

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