Contentguard Holdings, Inc.

Other

Z Advanced Computing, Inc.

USA As Represented by Secretary of the Navy

Btpatent LLC

Contentgaurd Holdings, Inc.

Z Advanced Computing, Inc. (zac)

Bijan Tadayon

Xin Wang

Guillermo Lao

Michael Charles Raley

Thanh Ta

Aram Nahidipour

Charles P Gilliam

Saied Tadayon

Eddie J Chen

Thomas DeMartini

Manuel Ham

Lotfi A Zadeh

Anant Kansal

Cyrus Sobhani

Tushar N Padhye

M S Roopa

C V Joshi

Arun Ray

Deepanjan Kanungo

Mahin Tehrani

Mark E Twigg

Edgardo Valenzuela

Mohammad Fatemi

Basavaraj B H

Mai Nguyen

Vincent Hsiang Tieu

David Elan Martin

Thomas Soestini

B H Basavaraj

Joseph Z Fung

Manual Ham

Thanh T Ta

Thahn Ta

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.

System and method for extremely efficient image and pattern recognition and artificial intelligence platform

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.

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); 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. tracking); 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; 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; and Image Ad and Referral Networks.

A method, system, and computer program product for controlling consumption of a distributed network service in accordance with rights expression information associated with the distributed network service and specifying a manner of use of the distributed network service, including interpreting the rights expression information associated with the distributed network service, the rights expression information indicating a manner of use of the distributed network service; and controlling consumption of the distributed network service based on the rights expression information.

Networked services licensing system and method

Specification covers new algorithms, methods, and systems for artificial intelligence, soft computing, and deep learning/recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, facial, OCR (text), background, relationship, position, pattern, and object), Big Data analytics, machine learning, training schemes, crowd-sourcing (experts), feature space, clustering, classification, SVM, similarity measures, modified Boltzmann Machines, optimization, search engine, ranking, question-answering system, soft (fuzzy or unsharp) boundaries/impreciseness/ambiguities/fuzziness in language, Natural Language Processing (NLP), Computing-with-Words (CWW), parsing, machine translation, sound and speech recognition, video search and analysis (e.g. tracking), image annotation, geometrical abstraction, image correction, semantic web, context analysis, data reliability, Z-number, Z-Web, Z-factor, rules engine, control system, autonomous vehicle, self-diagnosis and self-repair robots, system diagnosis, medical diagnosis, biomedicine, data mining, event prediction, financial forecasting, economics, risk assessment, e-mail management, database management, indexing and join operation, memory management, data compression, event-centric social network, Image Ad Network.

Method and system for feature detection

A system and method for creating a rights expression for association with an item for use in a system for controlling use of the item in accordance with the rights expression, including specifying rights expression information indicating a manner of use of an item, the rights expression information including at least one element, the element having a variable and corresponding value for the variable; and performing an encoding process, including determining an identifier associated with a template corresponding to the rights expression information, extracting from the rights expression information the value for the variable corresponding to the element, and encoding a license adapted to be enforced on a device based on the variable and the identifier, the license including an identification of the template and the value for the variable.

Rights expression profile system and method using templates

In one example, we describe reliable, flexible, low-maintenance, low-overhead, low-cost installation, practical, and easy-to-install structures and components or techniques (methods and systems) for water capture from high humidity sources, e.g., sea or river, for use or consumption by humans, animals, or plants/agriculture/food production. In one example, it is modularized. Thus, it is easier for transportation and maintenance, with less cost and down-time. For example, it can be used in some regions in the Middle East or Africa, with dry land with no or small amount of rain. In one example, we describe the use of renewable energy sources. In one example, we describe the control system for operation of water collection and distribution systems, e.g., for optimization and efficiency or cost. We also describe the mechanisms, techniques, components, and systems to implement various tasks and goals related to these.

Method and system for water extraction using sub-merged plate

Method and system for water extraction using a floater station

Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.

Application of Z-webs and Z-factors to analytics, search engine, learning, recognition, natural language, and other utilities

A self-contained device for protecting content, the content having usage rights associated therewith, includes a usage rights portion having usage rights that control the use of the content; a rights management module that authorizes a request to access to the content based on the usage rights; a rights assignment module that generates and updates the usage rights based on the content access; and an interface module that allows accessing of the content.

Method and apparatus for hierarchical assignment of rights to documents and documents having such rights

A method and system for managing use of items having usage rights associated therewith including a point of capture system adapted to generate content of a future event when the event occurs, a content distributor adapted to generate a rights label having usage rights associated with content of the future event before the content is created, the rights label having a distribution key for encrypting the content as the content is generated, the distribution key being encrypted with a public key. The system also includes a license server adapted to generate a license associate with the content from the rights label before the content is generated, the license including the distribution key encrypted with the public key, and a content distributor adapted to distribute the license before the content is generated.

Digital rights management of content when content is a future live event

Method and system for water extraction from high humidity sea shores

Novel methods of IP or patent management and monetization based on IP/patent pooling and scoring systems are disclosed. In addition, novel partnership methods with IP producing entities (such as universities) are disclosed which produce incentives and efficiencies far and above other methods. Systems and methods are disclosed for valuation of IP instruments and distribution of IP revenue/proceeds. Examples of methods for scoring IP instruments, using a transactional and event driven point/value system, are disclosed for tracking, monitoring, distribution and allocation of proceeds in a complex pooling arrangement of IP instruments.

Method and system for automatic scoring of the intellectual properties

In this presentation, we study various aspects of the wind turbines or wind mills. We optimize the performances of both a single wind turbine and a wind farm, collectively. We study the nozzles on the blades and all the variations and accessories for the operation of a nozzle. We also explore flow patterns around the blades, the mechanisms to get air or other gasses to the blades, the couplers for the electrical connections and the gas connections, and the gaps, holes, channels, conduits, or openings on the body or structure of a tower. We also present various mathematical models and formulations for optimizations.

Wind turbine blade system with air passageway

Processes and systems for offering and granting digital rights that govern distribution and usage of content, services and resources. The processes and systems provide a basis for flexible business models and negotiation transactions between content providers and users. The concept of meta-rights, which permit digital rights to be derived, permits upstream parties in a content distribution chain to dictate rights granted and received by downstream parties. Therefore, each transaction can be considered as a two party transaction between a rights supplier and a rights consumer.

Rights offering and granting

Growing community of inventors

Germantown, MD, United States of America

Bijan Tadayon