APPARATUS AND METHODS FOR INTELLIGENT TOKEN-BASED AUTHENTICATION WITHIN A DISTRIBUTED DATABASE USING HIERARCHICAL DATA FILES

    公开(公告)号:US20200328891A1

    公开(公告)日:2020-10-15

    申请号:US16848970

    申请日:2020-04-15

    申请人: EYGS LLP

    发明人: Quentin DROUOT

    摘要: Methods of using intelligent, blockchain-compatible asset tokens for non-fungible assets are described. The intelligent asset tokens can be customized to include a three-layer hierarchical identifier representing a hierarchy of asset data. The three-layer hierarchical identifier can include a reference layer representing the non-fungible asset type, a product layer representing the specific asset unit, and a rights and/or obligations layer representing rights and/or obligations associated with the specific asset unit of the product layer. Transactions of the non-fungible assets can be authenticated using the intelligent asset tokens, and can be performed using a smart contract at each layer of the hierarchy. A reference token can also be generated, specifying an address of a smart contract associated with an owner of a non-fungible asset. The smart contract can be used to enforce rules for the use of the intelligent asset tokens on the blockchain.

    MACHINE LEARNING BASED END-TO-END EXTRACTION OF TABLES FROM ELECTRONIC DOCUMENTS

    公开(公告)号:US20230237828A1

    公开(公告)日:2023-07-27

    申请号:US18172461

    申请日:2023-02-22

    申请人: EYGS LLP

    IPC分类号: G06V30/414 G06F40/295

    摘要: In some embodiments, a method includes identifying a set of word bounding boxes in a first electronic document, and identifying locations of horizontal white space between two adjacent rows from a set of rows in a table. The method includes determining, using a Natural Language Processing algorithm, an entity name from a set of entity names for each table cell from a set of table cells in the table. The method includes determining, using a machine learning algorithm a class from a set of classes for each row from the set of rows. The method includes extracting a set of table cell values associated with the set of table cells, and generating a second electronic document including the set of table cell values arranged in the set of rows and the set of columns such that the set of words in the table are computer-readable in the second electronic document.