SYSTEM FOR ENABLING COLLABORATION BETWEEN XR DEVICES

    公开(公告)号:EP4432630A1

    公开(公告)日:2024-09-18

    申请号:EP23161419.9

    申请日:2023-03-13

    Applicant: Vodafone GmbH

    Inventor: KISHAN RAO,Vijay

    CPC classification number: H04L67/131 H04L67/562 H04L67/51

    Abstract: The present solution provides a system for enabling collaboration between a plurality of extended reality, XR, devices (10, 20), the system comprising: a first XR device (100) having a first set of features; a second XR device (200) having a second set of features; and a hub device (300) communicatively connected to the first XR device (100) and the second XR device (200), wherein the first XR device (100) is configured to provide the first set of features, wherein the second XR device (200) is configured to use at least one of the features defined in the first set of features.

    EMERGENCY CALL ROUTING
    2.
    发明公开

    公开(公告)号:EP4325900A1

    公开(公告)日:2024-02-21

    申请号:EP22190998.9

    申请日:2022-08-18

    Applicant: Vodafone GmbH

    Abstract: The present solution provides a method performed in a wireless communication system, the method comprising: determining (S11) a geographic location of a base station (11); identifying (S12), based on the determined geographic location, a local emergency call center (50) that serves an emergency call area comprising the determined geographic location; providing (S13) an information on the identified local emergency call center (50) to at least one network entity.

    ASSESSING A NATURAL LANGUAGE PROCESSING (NLP) ENGINE

    公开(公告)号:EP3588328A1

    公开(公告)日:2020-01-01

    申请号:EP18179004.9

    申请日:2018-06-21

    Applicant: Vodafone GmbH

    Abstract: A method (100) for assessing a linguistic capability of a natural language processing engine (41) provided with an artificial intelligence, particularly a natural language processing engine (41) of a chat bot, comprising the steps: providing (110) an original natural language utterance (71), submitting (121) the original natural language utterance (71) and at least one category (60) assigned thereto to the natural language processing engine (41) for training (120) the natural language processing engine (41), generating a derived natural language utterance (81) by linguistically modifying (140) the original natural language utterance (71), submitting (151) the derived natural language utterance (81) to the natural language processing engine (41) for having the natural language processing engine (41) assign at least one category (60) thereto, and evaluating (160) the at least one assigned category.

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