System and method for completing a user profile

    公开(公告)号:US11361014B2

    公开(公告)日:2022-06-14

    申请号:US15858331

    申请日:2017-12-29

    Applicant: Cortica, Ltd.

    Abstract: A system and method for at least partially completing a user profile. The method includes analyzing the user profile to identify at least one missing informational element in the user profile, wherein identifying the at least one missing element further comprises determining at least one concept based on the user profile and matching the determined at least one concept to a plurality of category concepts, each concept including a collection of signatures and metadata describing the concept, wherein each category concept is associated with at least one required informational element, wherein each missing informational element is one of the at least one required informational element that is not included in the user profile; sending a query for the missing informational element; and updating at least a portion of the user profile based on a response to the query.

    TUNING A NEURAL NETWORK LEARNT BY UNSUPERVISED LEARNING

    公开(公告)号:US20220129761A1

    公开(公告)日:2022-04-28

    申请号:US17447052

    申请日:2021-09-07

    Applicant: Cortica Ltd.

    Inventor: Karina Odinaev

    Abstract: There may be provided a neural network (NN) and a learning process. The learning process may include (a) feeding media units to the NN, (b) generating signatures by the NN—till obtaining many (for example, at least 1,000,000 signatures), and (c) performing an optimization (or a sub-optimal process) of distances between signatures—and assign weights that will lead to the optimal or sub-optimal distances.

    FACE TO VOICE BASED ANALYSIS
    244.
    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
    247.
    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.

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