22 patent(s) in this week's alert:
Assignee Summary:| Patents | Owner |
| 3 | Bank of America |
| 1 | ADOBE |
| 1 | AVC Innovations. |
| 1 | Dell Products L.P. |
| 1 | Fidelity Information Services |
| 1 | First Genesis |
| 1 | FORTIOR SOLUTIONS |
| 1 | Halliday International |
| 1 | HITACHI |
| 1 | INSTITUTE OF SOFTWARE CHINESE ACADEMY OF SCIENCES |
| 1 | InterDigital Patent Holdings |
| 1 | Jiangsu Zeran Information Technology |
| 1 | NCHAIN LICENSING AG |
| 1 | Pied Parker |
| 1 | Qingdao University of Science Technology |
| 1 | Questaweb Holdings |
| 1 | SHENZHEN MICROBT ELECTRONICS TECHNOLOGY |
| 1 | Stichting IP-Oversight |
| 1 | U.S. Bank |
| 1 | Unassigned |
| 1 | United States of America as represented by the Secretary of the Navy |
| Patents | Class Code |
| 13 | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] |
| 4 | G06F [ELECTRIC DIGITAL DATA PROCESSING (computer systems base...] |
| 2 | G16H [HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICAT...] |
| 2 | H04L [TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC C...] |
| 1 | H02M [APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC ...] |
| 1 | G06N [COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS...] |
Details on individual patents:
| #12737252 | Intuitive defect prevention with swarm learning intelligence over blockchain network |
| Applied: | 12/04/2023, #18/527991 |
| Issued: | 09/15/2026, [1016 days App to Issue] Normal range: (542 to 1838) |
| Pat Class: | G06F [ELECTRIC DIGITAL DATA PROCESSING (computer systems base...] In this class there are; 674026 patents, 21601 companies, and 432655 inventors in 250 other Metros. |
| Claims: | 17; Normal range for this patent class is (9 to 27) |
| Assignee: | Bank of America (Charlotte, NC) with total patents of: 6482 (since 2005) |
| Counsel: | Firm: Banner Witcoff, Ltd. |
| 1st Invent: | Avinash Nigudkar (Mumbai, ) |
| Inventors: | Genders: F=0, M=3 |
| Abstract: 2000 char max | Aspects of the disclosure relate to s computing system that is configured to use heuristic and/or metaheuristic algorithms based on swarm learning (SL) intelligence frameworks and combine SL with blockchain and edge computing frameworks to provide a technologically efficient, responsive, and/or adaptable solution to detecting and preventing defects in software applications. |
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| #12737342 | Methods, architectures, apparatuses and systems directed to blockchain-enabled model storage, sharing and deployment for supporting distributed learning |
| Applied: | 03/15/2022, #18/282495 |
| Issued: | 09/15/2026, [1645 days App to Issue] Normal range: (542 to 1838) |
| Pat Class: | G06F [ELECTRIC DIGITAL DATA PROCESSING (computer systems base...] In this class there are; 674026 patents, 21601 companies, and 432655 inventors in 250 other Metros. |
| Claims: | 20; Normal range for this patent class is (9 to 27) |
| Assignee: | InterDigital Patent Holdings (Wilmington, DE) with total patents of: 2161 (since 2005) |
| Counsel: | Atty: Julian F. Santos |
| 1st Invent: | Xu Li (Plainsboro, NJ) |
| Inventors: | Genders: F=0, M=2 |
| Abstract: 2000 char max | Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to blockchain-enabled model storage, sharing and deployment for supporting federated learning are provided. Among the methods is a method directed to blockchain-enabled storage of distributed learning data that may include receiving information indicating a blockchain storage request, including information associated with a distributed learning task; obtaining information identifying one or more blockchains based on a blockchain storage solution, wherein the blockchain storage solution is based on the information indicating a blockchain storage request; determining blockchain-related instructions based on the blockchain storage solution, wherein the blockchain-related instructions comprise at least some of the information identifying one or more blockchains; and transmitting the blockchain-related instructions to a plurality of distributed participant nodes. |
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| #12737391 | Hybrid computing for access-less surgical retrieval |
| Applied: | 09/21/2023, #18/370912 |
| Issued: | 09/15/2026, [1090 days App to Issue] Normal range: (719 to 1809) |
| Pat Class: | G06N [COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS...] In this class there are; 22784 patents, 5864 companies, and 96039 inventors in 235 other Metros. |
| Claims: | 20; Normal range for this patent class is (10 to 26) |
| Assignee: | Bank of America (Charlotte, NC) with total patents of: 6482 (since 2005) |
| Counsel: | Firm: Weiss Arons LLP |
| 1st Invent: | Rajalakshmi Arumugam (Chennai, ) |
| Inventors: | Genders: F=2, M=6 |
| Abstract: 2000 char max | Systems and methods for confidential database surgical search and access-less retrieval using a hybrid-computing-powered system with multi-thread processing are provided. The systems and methods may include a quantum processor and a classical processor. The systems and methods may include requesting data elements pertinent to reports. The systems and methods may include authenticating requests and creating classical request strings via a classical processor. The systems and methods may include interfacing classical request strings with a quantum processor. The systems and methods may include running Grover''s searches in parallel over the request strings. The systems and methods may include fetching data from smart contracts within ledgers and sub-ledgers within a blockchain. The systems and methods may include pulling dynamic market data through a legacy transformation platform including dynamically derived data values and a machine learning model (MLM). |
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| #12737491 | Systems and methods for blockchain-based non-fungible token (NFT) authentication |
| Applied: | 12/10/2024, #18/975254 |
| Issued: | 09/15/2026, [644 days App to Issue] Normal range: (542 to 1838) |
| Pat Class: | G06F [ELECTRIC DIGITAL DATA PROCESSING (computer systems base...] In this class there are; 674026 patents, 21601 companies, and 432655 inventors in 250 other Metros. |
| Claims: | 20; Normal range for this patent class is (9 to 27) |
| Assignee: | Fidelity Information Services (Jacksonville, FL) with total patents of: 127 (since 2005) |
| Counsel: | Firm: Bookoff McAndrews, PLLC |
| 1st Invent: | Luke Jurat (Fairfax, VA) |
| Inventors: | Genders: F=0, M=5 |
| Abstract: 2000 char max | Systems and methods are disclosed for generating blockchain-based dynamic non-fungible tokens (NFTs) for user authentication. The method includes receiving a request from a mobile device associated with a user. Capturing, via one or more sensors, images and/or videos of the user and/or identification data associated with the user. Processing the images and/or the videos to detect biometric data unique to the user. Encoding the detected biometric data for generating the dynamic NFTs. Storing the dynamic NFTs on a transaction block of a distributed blockchain, wherein the dynamic NFTs are associated with a programmatically defined smart contract written to the distributed blockchain. Transmitting the dynamic NFTs to a plurality of service providers for authenticating the user. |
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| #12737712 | Hierarchical blockchain architecture for global trade management |
| Applied: | 11/12/2024, #18/945255 |
| Issued: | 09/15/2026, [672 days App to Issue] Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 20; Normal range for this patent class is (9 to 29) |
| Assignee: | Questaweb Holdings (Clarksburg, NJ) with total patents of: 3 (since 2005) |
| Counsel: | Firm: DLA PIPER LLP (US) |
| 1st Invent: | David Benayoun (Parkland, FL) |
| Inventors: | Genders: F=1, M=5 |
| Abstract: 2000 char max | Described is a reactive hierarchical blockchain architecture, system, and methodology for Global Trade Management (GTM). The system includes a comprehensive suite of GTM applications and leverages multi-national content to deliver efficient cross-border transactions anywhere in the world. The tiered computer-implemented system and method allow development of distributed GTM blockchain solutions capable of processing enormous amounts of global content at scale to meet huge transaction volume. The hierarchical blockchain architecture further assures scalability of the GTM solutions described herein by reducing the need for performing extensive calculations on multiple blockchain nodes. The GTM blockchain systems can be standalone or they can feed information into one or more main International Trade (ITC) blockchains. Smart contracts for specific GTM operations are segregated among appropriate childchains and verified by integrated GTM applications executed on permissioned nodes. |
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| #12737715 | Method, system and computer program product for distributed state engine rule processing system |
| Applied: | 03/08/2024, #18/600606 |
| Issued: | 09/15/2026, [921 days App to Issue] Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 23; Normal range for this patent class is (9 to 29) |
| Assignee: | AVC Innovations. (Spearfish, SD) with total patents of: 2 (since 2005) |
| Counsel: | Firm: Reston Law Group, LLP |
| 1st Invent: | Bob G. Schlicher (Knoxville, TN) |
| Inventors: | Genders: F=1, M=3 |
| Abstract: 2000 char max | A method of using a FiniteStateMachine (FSM) for processing data/events for CustomsCargoShipments, using distributed SWAppNodeServices (ANS) where each AppNode is an FSM state, and each ANS is deployed as independent operating service BusinessRules for assigned state. RulesEngine (RE) executes rules, combines incoming event data with existing shipment data (SmartPass), obtained from ShipmentRecordDatabase. When transaction event arrives, SmartPassState (SPS) determined, event routed to ANS process specifically for SPS. At ANS, event data combined with SmartPassData and RuleSet processed through RE. After completed, RE results, data values (DV) and action identifiers (AI), become TransactionRequest (TR) for action, routed to MatchedActionService (MAS), authenticated, executed based on data details. After TR sent, ANS executes AfterStateProcessor (ASP) determining state transition, updates/saves to SmartPass and (logging, posting activity transaction to blockchain, notifications, determining fulfillment criteria for current state, or receiving instructions for processing current state, as required). After processing, ANS stateless, clears out data for SmartPass event processed. |
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| #12737736 | Blockchain interoperability system |
| Applied: | 10/20/2025, #19/362522 |
| Issued: | 09/15/2026, [330 days App to Issue] Unusually Fast Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 20; Normal range for this patent class is (9 to 29) |
| Assignee: | Halliday International (San Francisco, CA) with total patents of: 2 (since 2005) |
| Counsel: | Firm: Kilpatrick Townsend Stockton LLP |
| 1st Invent: | Griffin Dunaif (San Francisco, CA) |
| Inventors: | Genders: F=0, M=2 |
| Abstract: 2000 char max | The present disclosure describes a blockchain interoperability system. The system includes one or more memories and one or more processors communicatively coupled to the one or more memories. The one or more processors, individually or collectively, receive a request for a destination token on a destination blockchain, determine, based on one or more data structures, a first blockchain on which an intermediate token can be converted into the destination token, convert, on the first blockchain, the intermediate token into the destination token, and bridge the destination token from the first blockchain to the destination blockchain. |
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| #12737751 | Last resort access to digital wallet or blockchain assets with smart contracts |
| Applied: | 04/27/2023, #18/308161 |
| Issued: | 09/15/2026, [1237 days App to Issue] Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 12; Normal range for this patent class is (9 to 29) |
| Assignee: | Dell Products L.P. (Round Rock, TX) with total patents of: 13080 (since 2005) |
| Counsel: | Firm: Workman Nydegger |
| 1st Invent: | Ofir Ezrielev (Be''er Sheba, ) |
| Inventors: | Genders: F=0, M=2 |
| Abstract: 2000 char max | Access to digital assets when a private key is lost or unavailable is disclosed. A digital wallet may store a digital asset and a smart contract. When conditions of the smart contract are satisfied, the digital asset is automatically transferred to a new digital wallet that is associated with a new digital key. A user may acquire the new digital key and access the digital assets now stored in the new digital wallet. |
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| #12737755 | Zero trust enable intelligent apparatus to register loT devices for payment leveraging non fungible token |
| Applied: | 03/14/2023, #18/121463 |
| Issued: | 09/15/2026, [1281 days App to Issue] Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 20; Normal range for this patent class is (9 to 29) |
| Assignee: | Bank of America (Charlotte, NC) with total patents of: 6482 (since 2005) |
| Counsel: | Firm: Banner Witcoff, Ltd. |
| 1st Invent: | Shailendra Singh (Maharashtra, ) |
| Inventors: | Genders: No name resolution. |
| Abstract: 2000 char max | Systems and methods are disclosed for validating transactions executed by Internet of Things (IoT) devices leveraging non fungible tokens (NFTs) stored on a blockchain. The system generates a first NFT paired with metadata associated with an IoT device, a second NFT paired with metadata associated with a transaction requested by the IoT device, and a third NFT merging the first and second NFTs together. The NFTs are used in validation processes to ensure an IoT device and/or a transaction requested by an IoT device are valid. The NFTs are bound to smart contracts assigned one or more rules related to validating an IoT device and/or transaction requested by an IoT device. A transaction requested by an IoT device executes based on the validation processes. |
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| #12737756 | Secure provision of undetermined data from an undetermined source into the locking script of a blockchain transaction |
| Applied: | 09/07/2023, #18/243607 |
| Issued: | 09/15/2026, [1104 days App to Issue] Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 7; Unusually Few Normal range for this patent class is (9 to 29) |
| Assignee: | NCHAIN LICENSING AG (Zug, ) with total patents of: 435 (since 2005) |
| Counsel: | Firm: Renner, Otto, Boisselle Sklar, LLP |
| 1st Invent: | Ying Chan (Cambridge, ) |
| Inventors: | Genders: F=1, M=1 |
| Abstract: 2000 char max | The invention relates to distributed ledger technologies such as consensus-based blockchains. Computer-implemented methods for a self-replicating smart contract with termination condition are described. The invention is implemented using a blockchain network. A first transaction including a first script is validated by a node in the blockchain network including a third script, and a second set of field values of a second transaction, wherein the second set of field values includes a copy of the second script causing to obtain the second transaction. The second transaction includes a second script, validated by a node upon determining that a termination condition is unfulfilled, at least obtaining the third script from the first set of field values, and determining that the copy of the second script matches the third script. The first transaction is validated as a result of execution of the first script and the second script. |
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| #12737757 | Systems and methods for real-time identification of an anomaly of a block transactions graph of a blockchain |
| Applied: | 09/04/2025, #19/319058 |
| Issued: | 09/15/2026, [376 days App to Issue] Unusually Fast Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 16; Normal range for this patent class is (9 to 29) |
| Assignee: | U.S. Bank (Minneapolis, MN) with total patents of: 5 (since 2005) |
| Counsel: | Firm: Merchant Gould P.C. |
| 1st Invent: | Ahmed Mohammed Abdelrahman Mohammed (Dallas, TX) |
| Inventors: | Genders: F=0, M=3 |
| Abstract: 2000 char max | Systems and methods to identify blockchain anomalies include an AI tool comprising a processor, a GPU, and a GNN model to extract graph parameters from a block transactions graph of a blockchain block, generate statistical approximations of the graph based on the graph parameters, compare the statistical approximations to at least one anomaly threshold, detect an irregular graph pattern in the graph when the statistical approximations exceed the at least one anomaly threshold, identify via the GNN model an anomaly within the block transactions graph based on the irregular graph pattern, generate via the GPU an address graph based on the block transactions graph when the anomaly is identified to display one or more addresses associated with the anomaly, and generate an alert when the anomaly is identified. |
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| #12737760 | Using generative artificial intelligence for automated analysis of smart contracts on blockchain |
| Applied: | 08/30/2023, #18/458856 |
| Issued: | 09/15/2026, [1112 days App to Issue] Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 15; Normal range for this patent class is (9 to 29) |
| Assignee: | ADOBE (San Jose, CA) with total patents of: 3455 (since 2005) |
| Counsel: | Firm: Shook, Hardy Bacon L.L.P. |
| 1st Invent: | David Humpherys (Lehi, UT) |
| Inventors: | Genders: F=0, M=2 |
| Abstract: 2000 char max | Methods and systems are provided for using generative AI for automated analysis of smart contracts on blockchain. In embodiments described herein, smart contract code for a smart contract is accessed in blockchain via a retriever component. The smart contract code includes a condition of the smart contract in a programming language format. A language model generates natural language content based on the smart contract code. The natural language content is then displayed. |
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| #12737761 | Systems and methods for secure communications via blockchain for use in image-based parking systems |
| Applied: | 01/13/2023, #18/728499 |
| Issued: | 09/15/2026, [1341 days App to Issue] Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 18; Normal range for this patent class is (9 to 29) |
| Assignee: | Pied Parker (Sacramento, CA) with total patents of: 23 (since 2005) |
| Counsel: | Firm: Straylight LLP |
| 1st Invent: | Gianni Rosas-Maxemin (Sacramento, CA) |
| Inventors: | Genders: F=0, M=5 |
| Abstract: 2000 char max | The present disclosure generally relates to blockchain technology and, more specifically, to improved systems and methods of establishing, supporting and securing image-based parking recognition and navigation communications via blockchain systems. In some aspects, the present disclosure provides a process for collecting, using one or more session border controllers (SBCs) and one or more cameras, a set of vehicle data wherein the set of vehicle data comprises one or more unique identification features corresponding to one or more vehicles and wherein the one or more vehicles are located in a parking facility. In some cases, the process can further include steps for establishing, using the one or more SBCs and the one or more cameras, a private blockchain wherein the one or more cameras serve as nodes in the private blockchain and wherein the one or more cameras serve as a gateway for the one or more session border controllers. |
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| #12737763 | Technologies for creating non-fungible tokens for know your customer and anti-money laundering |
| Applied: | 01/02/2024, #18/402470 |
| Issued: | 09/15/2026, [987 days App to Issue] Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 19; Normal range for this patent class is (9 to 29) |
| Assignee: | FORTIOR SOLUTIONS (Hillsboro, OR) with total patents of: 2 (since 2005) |
| Counsel: | Firm: Schwabe Williamson Wyatt |
| 1st Invent: | James Frederick Robell (Beaverton, OR) |
| Inventors: | Genders: F=0, M=4 |
| Abstract: 2000 char max | The present disclosure generally relates to the fields of computing, data processing, cryptography, blockchain technologies, tokenization and non-fungible tokens (NFTs), identity verification, account verification, information security (InfoSec), and fraud prevention technologies, and in particular, to technologies for creating NFTs for know your customer/client (KYC) and anti-money laundering (AML) purposes. A KYC NFT service receives a set of user data items associated with a user, verifies each user data item of the set of user data items, and generates a set of hashes, wherein each hash in the set of hashes corresponds to a verified user data item in the set of user data items. The KYC NFT service mints a KYC NFT that includes each hash in the set of hashes, and updates a smart contract to include the KYC NFT. Other embodiments may be described and/or claimed. |
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| #12737804 | Method for creating commodity assets from unrefined commodity reserves utilizing blockchain and distributed ledger technology |
| Applied: | 02/05/2024, #18/432729 |
| Issued: | 09/15/2026, [953 days App to Issue] Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 20; Normal range for this patent class is (9 to 29) |
| Assignee: | Stichting IP-Oversight (Lutjebroek, ) with total patents of: 3 (since 2005) |
| Counsel: | Firm: Hoffberg Associates |
| 1st Invent: | Christopher Youb (Edmonton, ) |
| Inventors: | Genders: F=0, M=2 |
| Abstract: 2000 char max | A token system and method, employing a token representing an interest in a smart contract, comprising: a distributed ledger, storing parameters of a smart contract, the smart contract representing an agreement, secured by a security interest in property, to execute the security interest unless a token is returned within a period; a communication port configured to interface with an automated communication network for communications between a plurality of cryptographic hardware processors; and an automated distributed virtual state machine, hosted by the plurality of cryptographic hardware processors, employing a distributed consensus model for transaction validation, the automated distributed virtual state machine being configured to: communicate distributed consensus messages through the automated communication network; communicate the token; execute the smart contract defined by the parameters, receiving inputs and producing outputs on a blockchain; and communicate an immutable message for exercise of the security interest. |
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| #12737812 | Trusted industrial asset monetization using privileged fractional NFTs for private generative AI knowledge extraction |
| Applied: | 01/15/2025, #19/023208 |
| Issued: | 09/15/2026, [608 days App to Issue] Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 20; Normal range for this patent class is (9 to 29) |
| Assignee: | HITACHI (Tokyo, ) with total patents of: 18182 (since 2005) |
| Counsel: | Firm: PROCOPIO, CORY, HARGREAVES SAVITCH LLP |
| 1st Invent: | Prasun Kumar Singh (San Jose, CA) |
| Inventors: | Genders: No name resolution. |
| Abstract: 2000 char max | A first blockchain system directed to representation of fractional ownership of asset baskets via NFT, each of the asset baskets including a disposal well to generate electricity, and a second blockchain system directed to operations of the asset baskets, the second blockchain system representing the operations of the asset baskets as operation value tokens. For a smart contract executed for an operation for one of the asset baskets, systems and methods include instructing the one of the asset basket to execute the operation according to the smart contracts; intaking sensor data from the asset basket to verify execution of the operation; and for verification of the execution of the operation, generating an operation value token realized as fungible token for one of the asset basket in the second blockchain system; and updating a valuation of the fractional ownership of the one of the asset baskets on the first blockchain system. |
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| #12737822 | Tax-advantaged business ownership transfer system |
| Applied: | 01/23/2026, #19/458558 |
| Issued: | 09/15/2026, [235 days App to Issue] Unusually Fast Normal range: (506 to 2198) |
| Pat Class: | G06Q [DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED F...] In this class there are; 91395 patents, 12931 companies, and 150693 inventors in 249 other Metros. |
| Claims: | 20; Normal range for this patent class is (9 to 29) |
| Assignee: | Unassigned |
| Counsel: | No Firm or Attorney on Patent. Could be inside counsel. |
| 1st Invent: | Benjamin M. Cvetkovich (Loveland, CO) |
| Inventors: | Genders: F=0, M=1 |
| Abstract: 2000 char max | The present disclosure provides a method for facilitating a tax-advantaged business transaction with automated risk mitigation. A conditional sales agreement is generated between a government entity and a business entity of a business owner. A net-revenue bond with interest obligations is structured. Payments from business operations are processed through automated withholding calculations. A distribution of funds to the business owner and the government entity is structured based on tax savings. Geographic information system data indicating location-based hazards affecting the business entity is received and correlated with business performance metrics to generate composite risk scores, which are used to automatically adjust payment processing and fund distribution. Exit procedures are triggered when the composite risk scores exceed predetermined thresholds. Blockchain-based smart contracts that automatically execute terms of the conditional sales agreement are implemented. Smart contract oracles are utilized to integrate real-time geographic information system data and payment information. |
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| #12738839 | Power supply voltage control method and apparatus, blockchain server, and storage medium |
| Applied: | 02/20/2023, #18/270526 |
| Issued: | 09/15/2026, [1303 days App to Issue] Normal range: (478 to 1340) |
| Pat Class: | H02M [APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC ...] In this class there are; 22818 patents, 1225 companies, and 13333 inventors in 191 other Metros. |
| Claims: | 14; Normal range for this patent class is (8 to 22) |
| Assignee: | SHENZHEN MICROBT ELECTRONICS TECHNOLOGY (Guangdong, ) with total patents of: 65 (since 2005) |
| Counsel: | Firm: Merchant Gould P.C. |
| 1st Invent: | Weibin Ma (Guangdong, ) |
| Inventors: | Genders: No name resolution. |
| Abstract: 2000 char max | Embodiments of this application provide a power supply voltage control method and apparatus, a blockchain server, and a storage medium. The method includes: determining a voltage determination parameter based on a ratio of a first value to a second value, where the first value is a number of cores in an operating state in a blockchain server, and the second value is a total number of cores in the blockchain server; determining a target voltage value of a power supply of the blockchain server based on the voltage determination parameter; and controlling a value of an output voltage of the power supply to be the target voltage value. |
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| #12739125 | Blockchain enhanced layered and integrated cyber security method and system |
| Applied: | 02/24/2025, #19/061021 |
| Issued: | 09/15/2026, [568 days App to Issue] Normal range: (542 to 1838) |
| Pat Class: | G06F [ELECTRIC DIGITAL DATA PROCESSING (computer systems base...] In this class there are; 674026 patents, 21601 companies, and 432655 inventors in 250 other Metros. |
| Claims: | 17; Normal range for this patent class is (9 to 27) |
| Assignee: | United States of America as represented by the Secretary of the Navy (Washington, DC) with total patents of: 546 (since 2005) |
| Counsel: | Firm: Naval Information Warfare Center Pacific |
| 1st Invent: | James Allphin (San Diego, CA) |
| Inventors: | Genders: F=0, M=4 |
| Abstract: 2000 char max | A blockchain enhanced layered and integrated cyber security method and system. In one embodiment, a method of cybersecurity monitoring, the steps comprising: performing a security analysis of an information system, wherein the security analysis comprises a plurality of security criteria; (b) creating a plurality of security hash values associated with each of the plurality of security criteria; (c) generating a baseline master hash comprising an amalgamation of the plurality of security hash values; (d) submitting the baseline master hash to a blockchain ledger; (e) revalidating the information system after a revalidation epoch; and (f) repeating step (e) over successive revalidation epochs to monitor the information system for hash mismatches. |
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| #12739145 | Asynchronous blockchain consensus method and system with decoupled data broadcast and consensus, electronic device and storage medium |
| Applied: | 03/09/2023, #18/845965 |
| Issued: | 09/15/2026, [1286 days App to Issue] Normal range: (516 to 1746) |
| Pat Class: | H04L [TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC C...] In this class there are; 217804 patents, 13623 companies, and 243440 inventors in 247 other Metros. |
| Claims: | 5; Unusually Few Normal range for this patent class is (10 to 26) |
| Assignee: | INSTITUTE OF SOFTWARE CHINESE ACADEMY OF SCIENCES (Beijing, ) with total patents of: 9 (since 2005) |
| Counsel: | Firm: Dilworth Barrese, LLP. |
| 1st Invent: | Zhenfeng Zhang (Beijing, ) |
| Inventors: | Genders: F=1, M=2 |
| Abstract: 2000 char max | Disclosed in the present invention are an asynchronous blockchain consensus method and system with decoupled data broadcast and consensus, an electronic device and a storage medium. The system comprises a plurality of nodes, wherein the nodes may be co-served by a plurality of mutually trusted physical or virtual devices. The method comprises: data broadcast and data sequential consensus are decoupled, wherein the nodes jointly maintain a plurality of broadcast protocol instances and a Byzantine consensus protocol; broadcast protocols are responsible for transmitting data at a certain node to other nodes, the Byzantine consensus protocol is responsible for reaching a consensus on results of the plurality of broadcast protocol instances; and in the nodes, the plurality of broadcast protocol instances can be maintained by a plurality of devices in an one-to-one correspondence mode, and execution results of the broadcast protocols are transmitted to devices responsible for executing the Byzantine consensus protocol in the nodes. The present invention can be implemented to improve the efficiency of a blockchain system, and additionally, to more conveniently improve system efficiency by increasing physical resources. |
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| #12739138 | Oil and gas production and distribution blockchain systems and methods implementing same |
| Applied: | 04/26/2024, #18/647769 |
| Issued: | 09/15/2026, [872 days App to Issue] Normal range: (516 to 1746) |
| Pat Class: | H04L [TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC C...] In this class there are; 217804 patents, 13623 companies, and 243440 inventors in 247 other Metros. |
| Claims: | 20; Normal range for this patent class is (10 to 26) |
| Assignee: | First Genesis (Houston, TX) with total patents of: 3 (since 2005) |
| Counsel: | Atty: Robert W. Strozier |
| 1st Invent: | Henry H. Ren (Richmond, TX) |
| Inventors: | Genders: F=0, M=2 |
| Abstract: 2000 char max | Apparatuses and systems and interfaces and methods implementing them including a virtual actor architecture that receives real-time, near real-time, and/or periodic data and information concerning oil/gas upstream, midstream, and downstream facilities via virtual actors, stores the real-time, near real-time, and/or periodic data and information in block of one or more blockchains, create virtual digital twins of the facility or a facility component, runs user requested or system requested simulations using either the real-time, near real-time, and/or periodic facility data directly or runs the user requested or system requested simulations on a virtual digital twin of the facility or facility component, and stores the results in blocks of the one or more blockchains. |
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| #12738367 | Blockchain-based and human characteristics intelligence recognition for appointment visualization elderly care system |
| Applied: | 05/16/2023, #18/198282 |
| Issued: | 09/15/2026, [1218 days App to Issue] Normal range: (544 to 1830) |
| Pat Class: | G16H [HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICAT...] In this class there are; 9013 patents, 3926 companies, and 32305 inventors in 228 other Metros. |
| Claims: | 8; Unusually Few Normal range for this patent class is (11 to 25) |
| Assignee: | Jiangsu Zeran Information Technology (Changzhou, ) with total patents of: 1 (since 2005) |
| Counsel: | No Firm or Attorney on Patent. Could be inside counsel. |
| 1st Invent: | Benju Xie (Qingdao, ) |
| Inventors: | Genders: F=0, M=2 |
| Abstract: 2000 char max | A blockchain-based and human characteristics intelligence recognition for appointment-based elderly care system includes a cloud server, a smartwatch and a management terminal, the cloud server is connected to the smartwatch and the management terminal, the smartwatch is worn on the elderly user, the management terminal includes a PC terminal, a mobile terminal and a display screen; the invention provides effective first time identification and can use the wearing device efficiently for a long time based on blockchain. |
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| #12738367 | Blockchain-based and human characteristics intelligence recognition for appointment visualization elderly care system |
| Applied: | 05/16/2023, #18/198282 |
| Issued: | 09/15/2026, [1218 days App to Issue] Normal range: (544 to 1830) |
| Pat Class: | G16H [HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICAT...] In this class there are; 9013 patents, 3926 companies, and 32305 inventors in 228 other Metros. |
| Claims: | 8; Unusually Few Normal range for this patent class is (11 to 25) |
| Assignee: | Qingdao University of Science Technology (Qingdao, ) with total patents of: 32 (since 2005) |
| Counsel: | No Firm or Attorney on Patent. Could be inside counsel. |
| 1st Invent: | Benju Xie (Qingdao, ) |
| Inventors: | Genders: F=0, M=2 |
| Abstract: 2000 char max | A blockchain-based and human characteristics intelligence recognition for appointment-based elderly care system includes a cloud server, a smartwatch and a management terminal, the cloud server is connected to the smartwatch and the management terminal, the smartwatch is worn on the elderly user, the management terminal includes a PC terminal, a mobile terminal and a display screen; the invention provides effective first time identification and can use the wearing device efficiently for a long time based on blockchain. |
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