UNSUPERVISED LEARNING
    21.
    发明申请

    公开(公告)号:US20220027742A1

    公开(公告)日:2022-01-27

    申请号:US17443476

    申请日:2021-07-27

    Applicant: Cortica Ltd.

    Inventor: Karina ODINAEV

    Abstract: A method for an unsupervised training of a neural network, the method may include initializing a neural network that exhibits at least one invariance; performing multiple training iterations until reaching a last training iteration in which a stop condition is fulfilled; wherein each training iteration except the last training iteration comprises: processing a vast number of media units by the neural network to provide media unit signatures; finding that the stop condition is not reached, and changing multiple neural network weights; wherein the stop condition is related to signatures similarities.

    DRIVING POLICIES DETERMINATION
    22.
    发明申请

    公开(公告)号:US20200283030A1

    公开(公告)日:2020-09-10

    申请号:US16628749

    申请日:2018-07-04

    Applicant: CORTICA LTD.

    Abstract: A method for determining driving policies for a vehicle includes: receiving, in real-time during a trip of a vehicle, at least a set of input multimedia content elements captured by at least one sensor deployed in proximity to the vehicle, determining a plurality of possible future scenarios based at least on the set of input multimedia content elements, determining a probability score for each of the plurality of possible future scenarios, determining at least one driving policy according to at least the probability score for at least one of the plurality of possible future scenarios, and controlling the vehicle according to the at least one driving policy.

    SYSTEM AND METHOD FOR ENRICHING A CONCEPT DATABASE WITH HOMOGENOUS CONCEPTS

    公开(公告)号:US20170371893A1

    公开(公告)日:2017-12-28

    申请号:US15698317

    申请日:2017-09-07

    Applicant: Cortica, Ltd.

    Abstract: A system and method for enriching a concept database with homogenous concepts. The method includes determining, based on signatures of a first multimedia content element (MMCE) and signatures of a plurality of existing concepts in the concept database, at least one first concept; generating a reduced representation of the first MMCE, wherein the reduced representation excludes the signatures of the first MMCE that match the at least one first concept; comparing the reduced representation to signatures representing a plurality of second MMCEs to select a first plurality of top matching second MMCEs; generating, based on the reduced representation and the first plurality of top matching second MMCEs, at least one second concept; determining, for each second concept, whether the second concept is a homogenous concept, wherein each homogenous concept uniquely represents the same content; and adding each homogenous concept to the concept database.

Patent Agency Ranking