Abstract: Aspects of the disclosure relate to NFT exchanges. A computing platform may generate a plurality of F-NFTs including F-NFT identifiers that configure the F-NFTs for end-to-end tracking. The computing platform may extract, from a voice communication, information of a request to transfer an F-NFT. The computing platform may generate, based on the information of the request, a text file. The computing platform may input, into a GPT-4 algorithm, the text file to produce a F-NFT contract identifying the F-NFT, the transferor of the F-NFT, and a transferee of the F-NFT. The computing platform may send, to an NFT exchange platform, the F-NFT contract, which may cause the NFT exchange platform to transfer custody of the F-NFT from an account of the transferor at a first institution to an account of the transferee at a second institution.

Abstract: A system and method for data processing and storage using quantum and deoxyribonucleic acid (DNA) computing. The method includes receiving a request for a search data item. The request includes a first information represented by classical binary bits. The request is converted into a converted request. The converted request includes the first information represented by quantum bits. One or more servers are searched based on the converted request using a quantum search algorithm. Search results are generated. The search results are ranked according to ranking rules. A highest-ranked result includes a second information represented by quantum bits. The highest-ranked result is converted to a converted highest-ranked result. The converted highest-ranked result includes the second information represented by DNA bits. The converted highest-ranked result is encrypted to generate an encrypted and converted highest-ranked result. The encrypted and converted highest-ranked result is stored in one or more DNA strands.

Abstract: Systems, methods, and apparatus are provided for deep learning architecture for adverse media screening. A dynamic data stream may be generated from news reports acquired from a variety of media channels in a variety of formats. Reports may be separated by format. A graphing module for each type of media may use geometric clustering algorithms to group reports into a coherence graph. Fact-checking sources may be incorporated into the graph. A graph neural network may determine coherence between news claims and fact-checking sources, between news claims and supporting report details, between similar reports, and/or between video and audio within the report itself. The network may output a legitimacy score for a report. A credible report may be flagged and retrieved in the course of a customer screening. Materiality may be determined for a credible report and may trigger a customer account closure protocol.

Abstract: Transactions between entities may be validated using LoRaWAN communications to more quickly process those transactions. In the example of check depositing, a first entity associated with a check payee may transmit a check clearance request to a second entity associated with a check payor using LoRaWAN communications. The LoRaWAN signaling and communications may be performed between devices within LoRaWAN range. For example, a check depositing device may receive a check deposit where the payor is associated with a different financial institution or entity. Accordingly, the check depositing device may communicate with another device associated with the payor institution or entity using LoRaWAN signals to confirm check clearance.

Abstract: Transactions may be performed using a mobile device such as a user-wearable device using LoRaWAN protocol to minimize power consumption while maximizing communication range. Transaction information may be stored in the user-wearable device and transmitted to a transaction processing device using LoRaWAN communications. Transaction information may include user-specific information, payment information, merchant information, product information, user preference information and the like. In some instances, the only communication interface (or wireless communication interface) provided in the mobile device is a LoRaWAN communication interface.

Abstract: Communication, authentication, and/or validation may be required in various types of device interactions. For example, for some types of device functions, user or device authentication may be required to confirm that the function can and should be performed. Authentication information may be communicated and authentication and/or validation may be performed using LoRaWAN signaling. LoRaWAN signaling provides low power and long-range communication capabilities to efficiently and effectively perform authentication processes. In some arrangements, LoRaWAN signals may be generated by both a first device (e.g., a user device) and a second device (e.g., a function-performing device) and subsequently compared to determine whether they correspond. This correspondence may provide the requisite authentication or validation of the first device and/or an associated user.

Abstract: Device information may be obtained using LoRaWAN communications. A device information request may be generated and transmitted by a user device and include request parameters such as a device type for which information is desired, a type of information requested, a geographic range for the request, and the like and/or combinations thereof. Device information requests may also be propagated or repeated by intermediary devices to achieve the desired request range. Accordingly, a recipient device of the original request may propagate or repeat, using LoRaWAN, a request signal if it determines that the request range has not been met. If the request range has been met, the recipient device might not repeat the request.

Abstract: A system for determining transactions eligible for currency transaction report (CTR) exemption using a quantum computing algorithm is described. The system may further leverage a distributed computing architecture for manual review and filing of CTRs and/or approving a CTR exemption as determined by the quantum computing algorithm.

Abstract: A system for determining transactions eligible for currency transaction report (CTR) exemption using a quantum computing algorithm is described. The system may further leverage a distributed computing architecture for manual review and filing of CTRs and/or approving a CTR exemption as determined by the quantum computing algorithm.

Abstract: Aspects of the disclosure relate to processing asset transfers. A computing platform may receive an asset transfer request and extract information from it. The computing platform may modify a distributed ledger to include a new block corresponding to the asset transfer request. The computing platform may identify a consensus method by identifying, for each of a plurality of consensus methods, a subset of blocks from the distributed ledger that, when used to execute the corresponding consensus method, result in a lowest energy consumption value in comparison to remaining subsets of blocks. The computing platform may execute each consensus method using the corresponding identified subset of blocks, which may result in establishing consensus to process the asset transfer request. Based on establishing the consensus, the computing platform may direct an event processing platform to process the asset transfer request, which may cause the event processing platform to process the request accordingly.

Abstract: Aspects of the disclosure relate to processing asset transfers. A computing platform may receive an asset transfer request and extract information from it. The computing platform may modify a distributed ledger to include a new block corresponding to the asset transfer request. The computing platform may identify a consensus method by identifying, for each of a plurality of consensus methods, a subset of blocks from the distributed ledger that, when used to execute the corresponding consensus method, result in a lowest energy consumption value in comparison to remaining subsets of blocks. The computing platform may execute each consensus method using the corresponding identified subset of blocks, which may result in establishing consensus to process the asset transfer request. Based on establishing the consensus, the computing platform may direct an event processing platform to process the asset transfer request, which may cause the event processing platform to process the request accordingly.

Abstract: Systems, methods and apparatus are provided for an end to end control automation workflow using a distributed network. The data segregation layer may assimilate data from a variety of enterprise sources. A trust engine may validate the data from enterprise sources against enterprise security standards. The system may use a distributed network to validate the data from the various sources and populate a distributed hash table. The distributed network may be a Holochain® framework. The system may include an automation layer that uses robotic processing automation scripts to validate data against a system of record and flag exceptions. The automation layer may provide data to a user interface layer. The user interface may include an interactive dashboard for presenting a range of detailed reports.

Abstract: Arrangements for using a cognitive convergence engine for resource optimization are provided. Requests for service, such as a loan, an account, or the like, may be received via different communication channels. The requests for service may be aggregated based on type of request and transferred to a cloud environment for evaluation. A request may be evaluated to determine whether it is eligible for bot processing. If so, the request may be transferred to a bot server for processing. If not, the request may be evaluated to identify a best fit resource for processing. Identifying the best fit resource may include scores computed by a plurality of computational instances or virtual machines configured to process the computations. A number of computational instances may be determined based on a volume of requests. The computational instances may then be deployed to determine a best fit resource for the first request.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for dynamic authentication and processing of electronic activities based on parallel neural network processing. The invention provides a novel method for processing, in parallel, the activity data via a neuron cluster component, constructing an authentication level parameter associated with the parameter outputs for the first activity, and process the first activity based on at least determining that the authentication level parameter associated with the first activity is above a predetermined authentication threshold. In this regard, the invention is structured for neuron cluster bandwidth availability based input mapping and process channeling for dynamic detection of security events associated with network devices and resources and triggering real-time mitigation operations.

Abstract: A method for A method for utilizing a check-to-smartglasses payment system is provided. The method may include capturing check data at a smartglasses. The method may also include identifying smartglasses account data associated with the smartglasses. In addition, the method may include generating a transfer of funds instruction. The transfer of funds instruction may include the check data and the smartglasses account data. The method may also include transmitting the transfer of funds instruction to a financial institution as well as identifying an account associated with the check data at the financial institution, The method may also include processing the transfer of funds instruction between the account associated with the check data and an account identified by the smartglasses account data at the financial institution and transmitting a confirmation to the smartglasses and to a mobile device associated with the check data.

Abstract: Systems, methods and apparatus are provided for an end to end control automation workflow using a distributed network. The data segregation layer may assimilate data from a variety of enterprise sources. A trust engine may validate the data from enterprise sources against enterprise security standards. The system may use a distributed network to validate the data from the various sources and populate a distributed hash table. The distributed network may be a Holochain® framework. The system may include an automation layer that uses robotic processing automation scripts to validate data against a system of record and flag exceptions. The automation layer may provide data to a user interface layer. The user interface may include an interactive dashboard for presenting a range of detailed reports.

Abstract: The systems and methods described include the ability to store such information in an immutable and distributed, verifiable fashion. Furthermore, the system includes enhanced means for retrieving, interacting with, and visualizing such information via user interface on a variety of user device types. The system is further configured to intelligently determine data forwarding decisions based on one or more configurable data guidelines as determined by one or more entities or third party systems, and provide access to verified data to these entities and systems.