Abstract: An intelligent system for resource exchange event verification/authentication based on a comparison between the known Subscriber Identity Module (SIM) card features and the real-time extracted SIM card features. SIM card features are initially extracted from the SIM card of a user's mobile communication device and stored in a SIM card feature file that is associated with the user's mobile communication device. Subsequently, when the mobile communication device initiates a resource exchange event, the current SIM card features are extracted from the SIM card currently residing in the mobile communication device and compared to those SIM card features in the SIM card feature file. The comparison is an intelligent comparison that takes into account, normal changes that may have occurred between the generation of the SIM card feature file and time of the resource exchange event.

Abstract: Systems, computer program products, and methods are described herein for generating an interactive 3D environment using spatial computing to generate historical digital components.

Abstract: Systems, computer program products, and methods are described herein for generating an interactive 3D environment using spatial computing for validation of data.

Abstract: Aspects of the disclosure relate to using machine learning models to automatically prioritize and orchestrate spatial data. A computing system may generate, based on inputting scene data and spatial positioning data into a machine learning model, a prioritized context that indicates physical objects that are significant within a physical environment. The scene data may comprise images of the physical environment and the spatial positioning data may comprise an indication of states of a user in the physical environment. Based on the prioritized context meeting user criteria, generate indications associated with the prioritized context. Based on the scene data, one or more spatial anchors at which to position the one or more indications of the prioritized context within a virtual environment based on the physical environment may be generated. The virtual environment comprising the indications of the prioritized context positioned at the one or more spatial anchors may be generated.

Abstract: A system for implementing location-based validation in data item transfer approval is disclosed. The system receives a request message that indicates to transfer a data item. The system determines a first location data indicating where a sender has registered to a software application configured to facilitate transferring the data item and a second location data indicating a current location of the sender. The system determines a third location data indicating where a receiver has registered to the software application and a fourth location data indicating a current location of the receiver. The system determines whether the request message is anomalous based at least on rules. Each rule indicates a circumstance that a data item transfer request is to be approved or denied based on location data associated with a sender and a receiver. The system grants the request message if it is determined that the request message is not anomalous.

Abstract: An apparatus for using a validated card in a virtual environment comprises a processor associated with a server. The processor is configured to receive a request to conduct an interaction between a first avatar and an entity in a virtual environment. The processor is further configured to receive card information and device information from an unknown user device. The processor is further configured to verify that the unknown user device is a first user device. The processor is further configured to receive virtual session information that is associated with a virtual environment session. The processor is further configured to determine if the request to conduct the interaction occurred in the same virtual environment session as the reception of the card information. The processor is further configured to conduct the interaction between the first avatar and the entity with the received card information.

Abstract: Methods for point of sale (“POS”) transaction validation leveraging a smart contact lens is provided. Methods may include pairing the smart contact lens to a POS device. Methods may include identifying, by the smart contact lens, a bounded area upon which purchase items are expected to be placed. Methods may include, in response to detecting a trigger performed by the smart contact lens user, identifying each purchase product placed on the bounded area after the triggering and before a receipt of a stop instruction. Methods may further include storing in a dataset an identifier of each purchase product and the product description of each purchase product. Methods may further include receiving a payload from the POS device including a list of purchase products scanned for purchase at the POS device. Methods may further include verifying an accuracy of the payload prior to completing the transaction.

Abstract: A method includes monitoring an interaction of a user with a metaverse session. A notification is sent to a first developer that the user is facing an issue while interacting with the metaverse session. The first developer is allowed access to the metaverse session at a location of the issue using a first developer avatar. One or more error flags are generated within a field of view of the first developer avatar in the metaverse session. Each error flag includes a respective error code. In response to determining that a first error code of a first error flag matches a first stored error code, a first solution is determined. The first solution includes a first stored solution corresponding to the first stored error code. In response to determining that the first solution solves the issue of the user, the first solution is deployed to the metaverse session.

Abstract: An architecture is disclosed for submission and recordation of application programmer interfaces (APIs) using non-fungible tokens (NFTs) inserted into a blockchain. The API-NFT pairings are validated by nodes of the network. The system automatically searches for and generate NFTs for APIs and/or intermediate layers on a computer network based on metadata associated with the API and a hash of the API/intermediate layer. The API-NFT pair binding ensures that developers/consumers are ingesting APIs that are secure and do not include malicious rules. Furthermore, performance monitoring of the API is performed using artificial intelligence (AI) and machine learning (ML), including long short term memory (LSTM) neural networks.

Abstract: Systems, computer program products, and methods are described herein for a decentralized machine learning source code generation framework via a holochain network. The present invention is configured to receive a predetermined code criteria, receive a new code segment from an editor on an endpoint device, retrieve characteristics of the new code segment, determine, using a trained machine learning model, at least one subsequent code segment, based on at least the characteristics of the new code segment, determine, using an evaluation engine, at least one score of the subsequent code segment, wherein the at least one score is associated with the predetermined code criteria, and transmit to the editor of the endpoint device for displaying a predetermined number of the at least one subsequent code segments above a predetermined threshold of the at least one score.

Abstract: Apparatus and methods for assembling and deploying computing tasks using swarm intelligence are provided. A swarm intelligence network program may be installed on multiple automated teller machines (“ATMs”) within a geographical area. When one of the ATMs loses connectivity with its financial institution, the ATM may create an ad-hoc swarm intelligence-based network with the other ATMs. The ad-hoc network may include a distributed ledger. The ATM may determine that a customer request for a financial transaction is valid and complete the request and record the transaction on the distributed ledger. The ATM may use hardware and software resources from the other ATMs on the ad-hoc network.

Abstract: Aspects of the disclosure relate to computing hardware and software for IoT event processing. A computing platform may monitor communication between an initiating IoT device and a service provider IoT device to detect an event processing request. The computing platform may extract, from the event processing request, event features. The computing platform may feed the event features into a deep learning engine, which may produce a smart contract corresponding to the event processing request. The computing platform may identify, using a distributed ledger, whether the event features comply with the smart contract. Based on identifying that the event features do comply with the smart contract, the computing platform may send, to an event processing system, authorization to process the event processing request, which may cause the event processing system to transfer funds from an initiating user to the service provider.

Abstract: Aspects of the disclosure relate to using machine learning models to merge smart contracts. A computing system may receive a prompt to merge smart contracts. Based on inputting the prompt into a generative artificial intelligence model configured to parse prompts, smart contract data may be retrieved from a blockchain stored in a distributed ledger platform. Based on inputting the smart contract data into the generative artificial intelligence model, smart contract clusters may be generated. Based on at least one of the smart contract clusters meeting performance criteria, merged smart contracts that meet the performance criteria may be generated. Furthermore, one or more blocks comprising the merged smart contracts may be generated.

Abstract: Systems, computer program products, and methods are described herein for determining optimal resource transfer routing using quantum gateway optimization.

Abstract: A computing platform may train, using historical information classification information, an information classification model, which may configure the information classification model to classify information and identify, based on the classification, a storage location. The computing platform may receive, from a user device, a request to store information. The computing platform may identify, using the information classification model, a cloud based storage location for the information. The computing platform may generate an NFT representative of the first cloud based storage location. The computing platform may direct a cloud based storage system to store the information at the cloud based storage location. The computing platform may send, to the user device, the NFT. The computing platform may receive, from the user device, the NFT and a request to access the information. Based on validating the NFT, the computing platform may grant the user device access to the information.

Abstract: A request is transmitted to a second computing node of a second blockchain network to perform a data interaction between a first computing node of a first blockchain network and the second computing node. Upon receiving an acknowledgement of the request, a first smart contract, an encrypted first network address and a first authentication code is generated. The first smart contract is encrypted using the first authentication code to generate an encrypted first smart contract. The encrypted first smart contract, the encrypted first network address and the first authentication code is transmitted to the second computing node. A digital signature is received indicating an approval of the first smart contract. Thereafter, data objects are transmitted to the second computing node as agreed in the first smart contract.

Abstract: A system includes a memory and a processor that validates an interaction between an initiating and a receiving device. An encrypted request is received to perform the interaction and the processor extracts an initiating device identification, a receiving device identification, and one or more numerical values associated with the interaction. Using this extracted information, the processor produces a verification key by applying a hash function and a verification checksum value using a checksum function. The verification key and verification checksum value are then compared with an authentication key and authentication checksum value that were produced in a same manner prior to the interaction being initiated. If it is determined that either the verification key and the authentication key do not have the same value, or verification checksum value and authentication checksum value do not have the same value, then the interaction is reversed.

Abstract: An error message is received from a first computing node indicating a malfunction associated with the first computing node. Based on a first error code received in the error message, a first software program is determined that is to be installed at the first computing node to resolve the malfunction. A geographically nearest second computing node to the first computing node is determined that includes the first software program. The second computing node is instructed to transmit the first software program to the first computing node. The second computing node transmits the first software program to the first computing node. The first computing node receives and installs the first software program at the first computing node.

Abstract: A system for detecting tampering of an item during transit from a source to a destination. The system includes a processor which receives a plurality of measurements of the environment surrounding the item during transit and detects at least one anomaly in the plurality of measurements. When the at least one anomaly is detected, it is compared with the expected measurement at the location and/or time and if the comparison shows a degree of difference that is greater than a predetermined threshold that indicates the item may have been tampered with during transit, the system and method performs an action to disable the item.

Abstract: A system and method for detecting tampering of an item during transit from a source to a destination. The system includes a processor which receives a plurality of measurements of the position of the item during transit and detects at least one anomaly in the plurality of measurements. When the at least one anomaly is detected, it is compared with the expected location of the item at that time and if the comparison shows a degree of difference that is greater than a predetermined threshold that indicates the item may have been diverted and tampered with during transit, the system and method performs an action to disable the item.