Abstract: Sequential consistency across a distributed cloud computing network is described. A database includes a primary database and multiple read replica databases. Write queries are transmitted to the primary database, and commit tokens are provided to the read replica databases and the clients. Commit tokens are included in requests from clients. If a request for a read operation received at a read replica database does not include a token that is later than a commit token of the most recent update to the read replica database, the read replica database performs the read operation. If a request for a read operation received at a read replica database includes a token that is later than a commit token of the most recent update to the read replica database, the read replica database delays servicing the read update until it receives an update from the primary database with an updated commit token.

Abstract: The present invention generally relates to the use of a stable value digital asset to pay dividends for securities and other financial instruments tied to a blockchain.

Abstract: Provided are systems and methods for verifying an identity of a user based on a data mesh created from various sources of truth. In one example, a method may include establishing, via a host platform, a first and a authenticated communication channel between a host server of a user account and a host server of a second user account, retrieving, via the first and second authenticated communication channels, PII of the user from the first and second user accounts and combining the PII into a meshed data set, determining a difference between the PII within the meshed data set, and verify an identity of the user based on the determined difference between the PII within the meshed data set and transmitting the verification to a computer system.

Abstract: The present invention generally relates to a method, system and program product for depositing, holding and/or distributing collateral in the form of digital assets in a peer-to-peer network.

Abstract: Provided are systems and methods for verifying an identity of a user based on a data mesh created from various sources of truth. In one example, a method may include establishing, via a host platform, a first and a authenticated communication channel between a host server of a user account and a host server of a second user account, retrieving, via the first and second authenticated communication channels, PII of the user from the first and second user accounts and combining the PII into a meshed data set, determining a difference between the PII within the meshed data set, and verify an identity of the user based on the determined difference between the PII within the meshed data set and transmitting the verification to a computer system.

Abstract: Systems, methods, and program products for providing an exchange traded product holding digital math-based assets are disclosed. Shares based on digital math-based assets may be created using one or more computers by determining share price information based upon quantities of digital math-based assets held by a trust, electronically receiving a request from an authorized participant user device to purchase a quantity of shares, electronically transmitting a quantity of digital math-based assets to one or more destination digital asset accounts for receipt of digital math-based assets from the authorized participant based on the determined share price information and the requested quantity of shares, and electronically issuing shares to the authorized participant.

Abstract: Methods for cavern rubblization for enhanced potash recovery are disclosed. In embodiments, such a method includes pressure cycling. The method can include pressurizing a cavity to maximum flow capacity followed by rapid relief of the cavity pressure. In this embodiment, this cycle of pressurization and rapid relief is repeated several times. Other embodiments of cavern rubblization and methods for enhanced potash recovery, a technique of fluid pulsing is used. According to embodiments, a tool can be used to pulse pressure through clay seams to be wetted. According to both embodiments, these methods increase potash recovery during mining.

Abstract: Methods for computer generation of graphical user interfaces are disclosed. The interfaces may provide representations of electronic order book data, including prospective orders and the impact of the prospective orders on the order book. Generating the graphical user interfaces can comprise calculating cumulative digital asset purchase order volumes and cumulative digital asset sell order volumes that are available in the order book at each order price. Graphical representations of a prospective order and a post-order order book may be generated and overlaid on the current order book graphical representation.

Abstract: Provided are systems and methods for matching two strings together. The process can identify differences between the two strings, store values representing the differences between the two strings in a vector and compare the vectorized string difference values to each other using machine learning. In one example, a method may include receiving a request to compare a source string and a target string, generating a vector and encoding attributes within the vector, wherein the attributes comprise editing steps for converting the source string into the target string, determining whether the source string is a match to the target string via execution of a machine learning model on the generated vector with the attributes encoded therein, and storing a determination output of the machine learning model in memory.

Abstract: The present invention relates to a method, system, and program product for depositing, holding and/or distributing collateral in the form of a stable value token for a security token, the tokens being on the same underlying blockchain. Furthermore, the present invention relates to methods, systems and program products for lending digital assets, such as crypto currency, and related products.

Abstract: Provided are systems and methods for recommending and prioritizing jobs to pursue, as well as skills, credentials, education, and the like to obtain, targeted to both individuals and consultants, coaches, etc. who may help those individuals. The prioritizing and the recommending may be performed based on a skills graph that includes nodes representing entities, and edges annotated with shared skills information between the entities. Thus, the skills graph can be used to find entities that are similar to each other in terms of skills.

Abstract: Provided are systems and methods for identifying a counterpart entity of a transaction from a transaction string. In one example, a method may include identifying a transaction string from an account of a target entity, the transaction string comprising a record of a payment that changed a balance of the account, executing a machine learning model based on the transaction string to determine a counterpart entity of the transaction with respect to the target entity, wherein, during execution, the machine learning model receives the transaction string as input and outputs an identifier of the counterpart entity, generating a data structure comprising a first field that stores the transaction string and a second field that stores an identifier of the counterpart entity, and storing the data structure within a file.

Abstract: A method for characterizing a photonic integrated circuit comprising includes coupling an evanescent field into a scattering element adjacent to a guiding layer of the photonic integrated circuit. The evanescent field is of an optical mode of light propagating in the guiding layer, and has an in-medium wavelength in the guiding layer. A maximum spatial dimension of the scattering element is less than the in-medium wavelength. The method includes scattering, with the scattering element, the coupled evanescent field as a reference scattered-signal. The method also includes detecting one of the reference scattered-signal and a signal derived therefrom.

Abstract: Autonomous devices and systems, methods, and program products for authorizing and performing autonomous devices transactions are disclosed. An autonomous device can be configured to generate a first hash value of a chain of hash values by applying a hash algorithm to first data including first new data and a first previous hash value of the chain of hash values, the first previous hash value computed by applying the hash algorithm to first previous data. The device can transmit to a transaction computer system the first hash value and the first new data. The device can generate and transmit to the transaction computer system a first signed electronic transaction request comprising first transaction data comprising a sending account identifier associated with the autonomous device, a destination account identifier, a transaction amount, and a timestamp. The device can digitally sign the transaction request using a private key of an asymmetric key pair.

Abstract: A first networked computer system for providing an exchange traded product holding digital math-based assets is disclosed, and may comprise: one or more processors; and non-transitory computer-readable memory having stored thereon machine-readable instructions that cause the one or more processors to perform a method comprising: receiving a first electronic request to redeem a first quantity of units; determining unit information including a second quantity of the first digital asset; obtaining one or more destination digital asset account identifiers that provide access to one or more destination digital asset accounts; initiating the transfer of a third quantity of digital math-based assets from the one or more origin digital asset accounts; broadcasting occurrence of the transfer of the third quantity of digital math-based assets to the decentralized electronic ledger; verifying a receipt of the third quantity of digital math-based assets; and canceling the first quantity of units.

Abstract: Provided are systems and methods for identifying unclaimed sources of funds such as employers, gig opportunities, businesses, and the like. The process can be used as part of a larger process that may also include fraud checks, deduplication of data, verification of users, analytical insight, and the like. In one example, a method may include establishing a communication channel with a third-party data source via an application programming interface (API), ingesting data records of the user from the third-party data source via the established communication channel based on an account identifier, identifying an unclaimed source of income based on a data value stored within the ingested data records, and displaying an identifier of the unclaimed source of income and an input mechanism which is configured to confirm the identified unclaimed source of income.

Abstract: The present invention generally relates to the use of a stable value digital asset to pay dividends for securities and other financial instruments tied to a blockchain.

Abstract: The present invention generally relates to a method, system and program product for depositing and withdrawing a stable value digital asset tied to a blockchain in exchange for fiat.

Abstract: Systems, methods, and program products for providing exchanges for converting from, to, or between digital assets, and in particular digital math-based assets, such as bitcoins, Namecoins, Litecoins, PPCoins, Tonal bitcoins, IxCoins, Devcoins, Freicoins, I0coins, Terracoins, Liquidcoins, BBQcoins, BitBars, PhenixCoins, Ripple, Dogecoins, Mastercoins, BlackCoins, Ether, Nxt, BitShares-PTS, Quark, Primecoin, Feathercoin, and Peercoin, to name a few, are disclosed. In embodiments, such systems, methods, and program products can further provide or be used in conjunction with automated transactions, digital asset arbitrage systems, and/or kiosk systems for transacting or interacting with digital math-based assets. A kiosk for transacting with digital assets and digital asset exchanges is also disclosed. Systems, methods, and program products for automated transactions and automated digital asset arbitrage transactions are also disclosed.

Abstract: Systems, methods, and program products for providing exchanges for converting from, to, or between digital assets, and in particular digital math-based assets, such as bitcoins, Namecoins, Litecoins, PPCoins, Tonal bitcoins, IxCoins, Devcoins, Freicoins, I0coins, Terracoins, Liquidcoins, BBQcoins, BitBars, PhenixCoins, Ripple, Dogecoins, Mastercoins, BlackCoins, Ether, Nxt, BitShares-PTS, Quark, Primecoin, Feathercoin, and Peercoin, to name a few, are disclosed. In embodiments, such systems, methods, and program products can further provide or be used in conjunction with automated transactions, digital asset arbitrage systems, and/or kiosk systems for transacting or interacting with digital math-based assets. A kiosk for transacting with digital assets and digital asset exchanges is also disclosed. Systems, methods, and program products for automated transactions and automated digital asset arbitrage transactions are also disclosed.