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    Virtual repository with media identification and matching
    2.
    发明授权
    Virtual repository with media identification and matching 有权

    公开(公告)号：US12079263B2

    公开(公告)日：2024-09-03

    申请号：US18051273

    申请日：2022-10-31

    Applicant: Mack Craft

    Inventor： Mack Craft

    IPC: G06F16/43

    CPC classification number: G06F16/43

    Abstract: A computer-implemented method of object linking from captured media records media (audio or video) from a scene of a program (e.g., TV show, movie or other similar audio visual content), identifies the program and the program scene from a watermark embedded in the captured media or by fingerprinting the captured media and matching the fingerprint to determined fingerprints in a database that relates determined fingerprints to programs and program scenes, determines participants in scene from a participant database that relates participants to programs and program scenes, generates links to objects and online commerce sites offering the linked objects. Records for the objects are contained in a virtual repository, a database that relates users (e.g., participants) to object records.

    Efficient computer-based indexing via digital tokens, systems, methods, and apparatus
    6.
    发明授权
    Efficient computer-based indexing via digital tokens, systems, methods, and apparatus 有权

    公开(公告)号：US11977530B2

    公开(公告)日：2024-05-07

    申请号：US17971244

    申请日：2022-10-21

    Applicant: Nant Holdings IP, LLC

    Inventor： Patrick Soon-Shiong ,  John Wiacek ,  Nicholas J. Witchey ,  Jake Fyfe

    IPC: G06F16/22 ,  G06F16/24 ,  G06F16/41 ,  G06F16/43

    CPC classification number: G06F16/22 ,  G06F16/24 ,  G06F16/41 ,  G06F16/43

    Abstract: Systems, apparatus, and methods of managing the lifecycle of a digital token are described. In an example, while the digital token is being generated, the digital token or the underlying digital asset can be compared to other digital tokens and/or digital assets to determine similarity thereto. Based on the similarity, a program code interface (e.g., smart contract, an application programming interface—API, RPC, etc.) can be determined and an API call can be made to execute a program code. The execution can indicate whether the digital token creation process can be completed. If so, the digital token is recorded. Thereafter, its use or the use of the underlying digital asset can be monitored, whereby this monitoring can apply similarity processing. If a use thereof is determined or if a use of a similar digital token or similar digital asset is determined, notifications can be generated and sent.

    System and method for extremely efficient image and pattern recognition and artificial intelligence platform
    8.
    发明授权
    System and method for extremely efficient image and pattern recognition and artificial intelligence platform 有权

    公开(公告)号：US11914674B2

    公开(公告)日：2024-02-27

    申请号：US17543485

    申请日：2021-12-06

    Applicant: Z Advanced Computing, Inc.

    Inventor： Lotfi A. Zadeh ,  Saied Tadayon ,  Bijan Tadayon

    IPC: G06F16/43 ,  G06N3/043 ,  G06F18/21 ,  G06F16/953 ,  G06N3/006

    CPC classification number: G06F18/2185 ,  G06F16/43 ,  G06F16/953 ,  G06N3/006 ,  G06N3/043

    Abstract: Specification covers new algorithms, methods, and systems for: Artificial Intelligence; the first application of General-AI (versus Specific, Vertical, or Narrow-AI) (as humans can do) (which also includes Explainable-AI or XAI); addition of reasoning, inference, and cognitive layers/engines to learning module/engine/layer; soft computing; Information Principle; Stratification; Incremental Enlargement Principle; deep-level/detailed recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, tilted or partial-face, OCR, relationship, position, pattern, and object); Big Data analytics; machine learning; crowd-sourcing; classification; clustering; SVM; similarity measures; Enhanced Boltzmann Machines; Enhanced Convolutional Neural Networks; optimization; search engine; ranking; semantic web; context analysis; question-answering system; soft, fuzzy, or un-sharp boundaries/impreciseness/ambiguities/fuzziness in class or set, e.g., for language analysis; Natural Language Processing (NLP); Computing-with-Words (CWW); parsing; machine translation; music, sound, speech, or speaker recognition; video search and analysis (e.g. “intelligent tracking”, with detailed recognition); image annotation; image or color correction; data reliability; Z-Number; Z-Web; Z-Factor; rules engine; playing games; control system; autonomous vehicles or drones; self-diagnosis and self-repair robots; system diagnosis; medical diagnosis/images; genetics; drug discovery; biomedicine; data mining; event prediction; financial forecasting (e.g., for stocks); economics; risk assessment; fraud detection (e.g., for cryptocurrency); e-mail management; database management; indexing and join operation; memory management; data compression; event-centric social network; social behavior; drone/satellite vision/navigation; smart city/home/appliances/IoT; and Image Ad and Referral Networks, for e-commerce, e.g., 3D shoe recognition, from any view angle.

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