SYSTEMS AND METHODS FOR A DATA SEARCH ENGINE BASED ON DATA PROFILES

    公开(公告)号:EP3591585A1

    公开(公告)日:2020-01-08

    申请号:EP19184839.9

    申请日:2019-07-05

    摘要: Systems and methods for searching data are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a sample dataset and identifying a data schema of the sample dataset. The operations may include generating a sample data vector that includes statistical metrics of the sample dataset and information based on the data schema of the sample dataset. The operations may include searching a data index comprising a plurality of stored data vectors corresponding to a plurality of reference datasets. The stored data vectors may include statistical metrics of the reference datasets and information based on corresponding data schema. The operations may include generating, based on the search and the sample data vector, one or more similarity metrics of the sample dataset to individual ones of the reference datasets.

    ROUTING FOR LARGE SERVER DEPLOYMENTS
    6.
    发明公开

    公开(公告)号:EP3525422A1

    公开(公告)日:2019-08-14

    申请号:EP19156396.4

    申请日:2019-02-11

    IPC分类号: H04L29/08

    摘要: In one aspect, the present disclosure relates to a method comprising: receiving a first request from a client device; generating a plurality of uniform resource locators (URLs), each of the plurality of URLs comprising an encoded representation of a network address associated with a respective node from a plurality of nodes in a computer cluster; sending a first response to a client device, the first response comprising the plurality of URLs; receiving a second request from the client device, the second request comprising a first URL from the plurality of URLs; determining the second request should be routed to a first network address based on decoding the first URL, the first network address associated with a first node from the plurality of nodes; and forwarding the second request to the first node in response to the determining.

    AUTOMATIC GENERATION OF A CONTEXTUAL MEETING SUMMARY

    公开(公告)号:EP4174849A1

    公开(公告)日:2023-05-03

    申请号:EP22204867.0

    申请日:2022-11-01

    摘要: Systems and methods are disclosed herein for building contextual transcripts. A computing system may receive a textual transcript of a meeting that contains a variety of statements made by various attendees of the meeting, select the first statement made during the meeting, and determine which meeting attendee made the statement. A machine learning model corresponding to the particular attendee that has been trained using previously received statements by the particular attendee may be used on the utterance to determine the tone of the utterance. That tone may be recorded within the transcript and this process may be repeated for each utterance to build a contextual transcript.

    METHODS AND SYSTEMS FOR IDENTIFYING AND AUTHORIZING A USER BASED ON A MINI-GAME LOGIN

    公开(公告)号:EP3819797A1

    公开(公告)日:2021-05-12

    申请号:EP20206048.9

    申请日:2020-11-05

    摘要: A computer-implemented method is provided for verifying user authentication. An authentication server may receive from a network server device a login request that is associated with a user. The user may be assigned to a user category based on attributes of the user. An authentication game may be selected for the user based on the user category. The user may be assigned to a game play cluster for the selected authentication game. The authentication game may be sent to the network server device over a network for interaction with the user. A game result may be received from the network server device. Data representing the game paly results may be compared with corresponding one or more cluster classifiers. Based on the comparing, the authentication server may determine whether the game play results match the expected game play results. When the game play results match the expected game play results, the login request may be approved.

    GENERATING SYNTHETIC MODELS OR VIRTUAL OBJECTS FOR TRAINING A DEEP LEARNING NETWORK

    公开(公告)号:EP3683727A1

    公开(公告)日:2020-07-22

    申请号:EP20152426.1

    申请日:2020-01-17

    IPC分类号: G06K9/62 G06N3/08 G06K9/00

    摘要: In some implementations, a training platform may receive data for generating synthetic models of a body part, such as a hand. The data may include information relating to a plurality of potential poses of the hand. The training platform may generate a set of synthetic models of the hand based on the information, where each synthetic model, in the set of synthetic models, representing a respective pose of the plurality of potential poses. The training platform may derive an additional set of synthetic models based on the set of synthetic models by performing one or more processing operations with respect to at least one synthetic model in the set of synthetic models, and causing the set of synthetic models and the additional set of synthetic models to be provided to a deep learning network to train the deep learning network to perform image segmentation, object recognition, or motion recognition.

    SYSTEMS AND METHODS FOR IDENTIFYING FORM FIELDS

    公开(公告)号:EP3640847A1

    公开(公告)日:2020-04-22

    申请号:EP19203880.0

    申请日:2019-10-17

    摘要: The present disclosure relates to systems and methods for generating synthetic documents. In one implementation, a system for generating synthetic data from a plurality of documents may include at least one processor and at least one non-transitory memory storing instructions that, when executed by the at least one processor cause the system to: receive a plurality of documents, individual documents of the plurality of documents having a same document type; generate a distribution of values for a corresponding pixel in the individual documents of plurality of documents; determine, based on the distributions, one or more common features of the plurality of documents; determine, based on the comparison, one or more input fields; generate a template including the one or more common features and the one or more input fields; and input synthetic data into the one or more input fields of the template thereby generating a plurality of synthetic documents.