FACE TO VOICE BASED ANALYSIS
    171.
    发明申请

    公开(公告)号:US20220122381A1

    公开(公告)日:2022-04-21

    申请号:US17443641

    申请日:2021-07-27

    Applicant: Cortica Ltd.

    Inventor: Karina Odinaev

    Abstract: A method that includes (a) receiving media units that include face images and voice information, (b) generate face image signatures (for the face images) by a neural network (NN), (c) cluster the face image signatures to provide clusters, (d) generating voice signatures to the voice information, and (d) processing voice signatures that are associated with face image signatures of the same cluster and reaching a conclusion regarding these voice signatures.

    ENSEMBLE OF NARROW AI AGENTS
    173.
    发明申请

    公开(公告)号:US20210142225A1

    公开(公告)日:2021-05-13

    申请号:US17093442

    申请日:2020-11-09

    Applicant: Cortica Ltd.

    Inventor: Karina Odinaev

    Abstract: A method for operating an ensemble of narrow AI agents, the method may include obtaining one or more sensed information units; determining, by a perception unit and based on the one or more sensed information units, one or more relevant narrow AI agents of the ensemble, that are relevant to a processing of the one or more sensed information units; wherein the ensemble is relevant to a first plurality of scenarios; processing the one or more sensed information units, by the one or more relevant narrow AI agents, to provide one or more narrow AI agent outputs; and processing, by an intermediate result unit, the one or more narrow AI agent outputs to provide an intermediate result; and generating a response, by a response unit, based on the intermediate result; wherein each narrow AI agent is relevant to a respective fraction of the first plurality of scenarios.

    SYSTEM AND METHOD FOR ENRICHING A CONCEPT DATABASE

    公开(公告)号:US20210097040A1

    公开(公告)日:2021-04-01

    申请号:US16583790

    申请日:2019-09-26

    Applicant: Cortica Ltd.

    Abstract: A system and method for enriching a concept database. The method includes determining, based on at least one signature of a first multimedia data element (MMDE) and signatures of a plurality of existing concepts in the concept database, at least one first concept among the plurality of existing concepts, wherein each of the at least one first concept matches a portion of the at least one signature of the first MMDE; generating a reduced representation of the first MMDE, wherein generating the reduced representation further comprises removing the portion of the first MMDE matching the at least one first concept; comparing the reduced representation of the first MMDE to signatures representing a plurality of second MMDEs to determine a plurality of matching second MMDEs; generating, based on the reduced representation of the first MMDE and the plurality of matching second MMDEs, at least one second concept; and adding the generated at least one second concept to the concept database.

    DYNAMIC MATCHING A SENSED SIGNAL TO A CONCEPT STRUCTURE

    公开(公告)号:US20200311464A1

    公开(公告)日:2020-10-01

    申请号:US16729307

    申请日:2019-12-28

    Applicant: Cortica Ltd.

    Abstract: A method for matching a sensed signal to a concept structure, the method may include: receiving a sensed signal; generating a signature of the input image; comparing the signature of the input image to signatures of a concept structure; determining whether the signature of the input image matches any of the signatures of the concept structure based on signature matching criteria, wherein each signature of the concept structure is associated within a signature matching criterion that is determined based on an object detection parameter of the signature; and concluding that the input image comprises an object associated with the concept structure based on an outcome of the determining.

    SYSTEM AND METHOD FOR PROVIDING RECOMMENDATIONS BASED ON USER PROFILES

    公开(公告)号:US20200213415A1

    公开(公告)日:2020-07-02

    申请号:US16726933

    申请日:2019-12-26

    Applicant: Cortica Ltd.

    Abstract: A system and method for providing recommendations based on current user interests. The method includes identifying at least one current variable, wherein each current variable is associated with a user device or a user; determining, based on the identified at least one current variable, at least one current user interest of a user profile, the user profile including at least one contextual insight, wherein each contextual insight is based on at least one signature for at least one multimedia content element associated with the user; searching for at least one multimedia content element that matches the at least one current user interest; and causing a display of the at least one matching content item as a recommendation.

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