Abstract: Aspects of the disclosure relate to reimaging an ATM using an extended reality interface and machine learning models that are configured to reimage the ATM. A computing system may send a request for authorization to access an ATM. Based on the request being granted the ATM may be accessed via an extended reality interface. Reimaging the ATM may be based on inputting ATM data associated with a state of the ATM into machine learning models that are configured to generate instructions to reimage the ATM and then execute threads based on processes that were determined based on the instructions. The threads may be executed in a RAM of the ATM in accordance with machine learning model determined priorities of the threads.

Abstract: Aspects of the disclosure relate to reimaging an ATM using an extended reality interface and machine learning models that are configured to reimage the ATM. A computing system may send a request for authorization to access an ATM. Based on the request being granted the ATM may be accessed via an extended reality interface. Reimaging the ATM may be based on inputting ATM data associated with a state of the ATM into machine learning models that are configured to generate instructions to reimage the ATM and then execute threads based on processes that were determined based on the instructions. The threads may be executed in a RAM of the ATM in accordance with machine learning model determined priorities of the threads.

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: Self-orchestration and -management of Automated Teller Machines (ATMs) leveraging the use of extended Reality (XR) amongst support personnel to perform the maintenance/repair. Issues and events required to address the issues are identified at the ATM and a maintenance queue is generated, and subsequently managed, at the ATM that includes an ordered listing of the events and assigned support personnel for each event, along with access credentials for each support personnel. Management of the maintenance queue includes notifying the support personnel of their event assignments of the requisite timing requirements. XR is used to facilitate maintenance and repair in a collaborative and, in some instances simultaneous, manner between remote and onsite support personnel. Various different XR operational modes are implemented to assist support personnel in accomplishing the assigned events without the need for extensive training and/or experience.

Abstract: The inventive subject matter is directed to pest detection systems that implement infrared emitters with detectors that look for variations in incident light indicative of wingbeats from various pests. Emitters and detectors are placed on one or more printed circuit boards such that infrared light projected from an emitter can be received by one or more detectors. Based on signal generated by a detector, systems of the inventive subject matter can determine whether a pest has flown between an emitter and detector. To save on power, emitter, detectors, or both can be driven by pulse width modulation. Methods of the inventive subject matter are directed to determining pest presence via signal filtering and interpretation.

Abstract: A system includes a memory and a processor. The memory stores a plurality of records associated with a device and a machine learning algorithm. The plurality of records includes a first record and a second record. The first record includes a first set of parameters extracted from the device at a first time. The second record includes a second set of parameters extracted from the device at a second time, with a difference between the first set of parameters and the second set of parameters resulting from of an update to the device. The machine learning algorithm is configured to determine a probability that the update was unauthorized. The processor executes the machine learning algorithm, and determines that the probability is greater than a threshold. In response to determining that the probability is greater than the threshold, the processor rejects a request transmitted by the device.

Abstract: Embodiments of the present invention provide a system for automatically generating and deploying graphical user interface components based on real-time sketches. The system is configured for determining that a user has accessed a sketch application via a user computing device, allowing the user to create one or more sketches in real-time via a user interface of the sketch application, determining that the user has created at least a first sketch, wherein the first sketch is associated with an application, extracting data from the first sketch, mapping the first sketch with a first user interface component based on the data extracted from the first sketch, generating the first user interface component, integrating a first source code of the first user interface component, testing the first user interface component, determining that testing of the first user interface component is successful, and deploying the first user interface component to a real-time environment.

Abstract: An apparatus for detecting anomalous dispensing machine obtains a set of test signals that includes electromagnetic signals propagated from internal component of a dispensing machine. The apparatus extracts a set of test features from the test signals. The apparatus obtains a set of baseline signals associated with the dispensing machine, where the baseline signals includes expected electromagnetic signals associated with the internal components of the dispensing machine. The apparatus extracts baseline features from the baseline signals. The apparatus compares each of the test features with the counterpart baseline feature. The apparatus determines whether the deviation between the test features and baseline features is more than a threshold percentage.

Abstract: An entity server receives a request from a user device to perform an interaction. The entity server is configured to receive an interaction data set associated with the interaction from a user device and in response to the request, the entity server retrieves encrypted data from a memory associated with a network node. The entity server compares the interaction data set to the encrypted data set and identifies an anomaly in the interaction data set based on the comparison. Once an anomaly is detected, the entity server denies the request from the user device to perform the interaction.

Abstract: A method includes receiving an application code of a legacy application. The application code is analyzed to generate a plurality of container configurations for a containerized application. Each container configuration includes a plurality of container images and a plurality of application programming interfaces. An initial quantum state is generated from the plurality of container configurations. Each container configuration is simulated. A final quantum state is generated from the initial quantum state. The final quantum state includes performance scores for each container configuration represented using quantum bits. A total performance score is determined for each container configuration based on the performance scores and a rule. A highest total performance score is determined. An improved container configuration is determined from the plurality of container configurations based on the highest total performance score.

Abstract: A method and system are provided for autonomously controlling and monitoring automatic teller machines (“ATMs”), leveraging a network of low-orbit satellites, during an ATM distress event. The method and system may include creating, using an ATM distress program in a first ATM, a distress message payload (“DMP”) associated with the first ATM. The method and system may include creating, using a data recovery and purge program in one or more ATMs (“the ATMs”), data recovery and purge payloads (“DRAPPs”) associated with the ATMs. The method and system may further include storing the DRAPPs in low-orbit satellites in a network of low-orbit satellites. The method and system may include running a recovery/purge orchestration engine to identify an optimal pathway for transporting the DRAPPs. The pathway may include low-orbit satellites in the network of low-orbit satellites as carriers for the DRAPPs to a centralized server.

Abstract: An apparatus may comprise a memory communicatively coupled to a processor. The memory may be configured to store user profiles and security information. The processor may be configured to receive a device profile from a user device. Further, the processor may be configured to validate the device profile against a user profile; determine an entitlement associated with the user profile; generate an initial token indicating that the device profile is entitled to access the entitlement; transmit the initial token to a decentralized network; and receive an updated token from the decentralized network. The updated token may indicate a firewall configuration based at least in part upon the initial token. The firewall configuration may be configured to enable the user device to access the entitlement. The processor may be configured to transmit the firewall configuration to the user device to implement a firewall at the user device.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for a secure distributed machine learning activity system using distributed ledger technology. The invention comprises an AI-ML model development de-centralized system that provides a secure mechanism which give secure provision to entities to develop AI-ML models in a distributed environment. The system allows the release of AI-ML model components, programs, binary files, and the like in distributed host system infrastructure in secure manner. Therefore, optimizing computer resources for various requirements, such as image processing or the like that may be performed on other secure mechanisms across the secure distributed network. In this way, distributing the AI-ML model across multiple devices across the secure distributed network.

Abstract: An apparatus may comprise a memory communicatively coupled to a processor. The memory may be configured to store a validation profile and service access provider information. The processor may be configured to generate a service token indicating service provider access information for a digital entity in a virtual environment; enable access to at least one service in the service provider via the service token; transmit the service token to the digital entity in the virtual environment; and share the access to the at least one service with the digital entity. Further, the processor may be configured to monitor a value of a token parameter associated with the digital entity in the virtual environment and, in response to determining that the value of the token parameter is outside a predefined threshold range, disable the access to the at least one service in the service provider via the service token.

Abstract: Apparatus and methods for a li-fi payment network are provided. A customer's device may communicate, directly or through intermediate devices and computer systems, over a li-fi network with a point-of-sale terminal. A bill may be transmitted to the customer's device over the li-fi network. The customer may select an option to pay the bill. The selection, along with information to authorize and process the payment, may be transmitted over the li-fi network to the POS terminal. The POS terminal may process the payment and generate a receipt. The receipt may be transmitted to the customer's device over the li-fi network.

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: The inventive subject matter is directed to pest detection systems that implement infrared emitters with detectors that look for variations in incident light indicative of wingbeats from various pests. Emitters and detectors are placed on one or more printed circuit boards such that infrared light projected from an emitter can be received by one or more detectors. Based on signal generated by a detector, systems of the inventive subject matter can determine whether a pest has flown between an emitter and detector. To save on power, emitter, detectors, or both can be driven by pulse width modulation. Methods of the inventive subject matter are directed to determining pest presence via signal filtering and interpretation.

Abstract: Systems and methods for securing a cryptocurrency asset transfer via a cross-blockchain bridge. Methods may include detecting a request to transfer the asset between blockchains and extracting a set of features such as smart contract bytecode from event logs associated with the blockchains and a blockchain bridge. Methods may include using a photonic quantum processor to use i) a long short-term neural network and ii) a neural network to generate machine learning models based on the extracted features to output i) a security risk threshold and ii) a security risk percentage, respectively. When the security risk percentage is below the security risk threshold, the method may permit the execution of a smart contract to allow transfer of the cryptocurrency asset over the blockchain bridge. When the security risk percentage is above the security risk threshold, the method may involve blocking an execution of a smart contract on the blockchain bridge.

Abstract: A system for implementing an interaction session with an entity using intermediate equipment and homomorphic encryption comprises a first communication equipment and a second communication equipment in communication with an entity server via a network. The first communication equipment is communicatively coupled to the second communication equipment via a short-range wireless connection. The first communication equipment communicates an encrypted interaction payload to the second communication equipment which forwards the encrypted interaction payload to an entity server. The entity server sends an encrypted validation message including a security code to the first communication equipment through the second communication equipment to validate an interaction payload object. The first communication equipment receives a user input and communicates an encrypted user input to the second communication equipment which forwards the encrypted user input to the entity server.

Abstract: An electronic bill may be generated, transmitted, and paid remotely at a POS using a UWB-compatible user device. The location of the user device may be detected leveraging UWB technology at the POS. The bill may be pushed to the user device over a MEMS network of sensor nodes at the POS. An optimal route over the sensor nodes may be selected so that the electronic bill is directed to a sensor node in proximity to the user device. The selected route may minimize the number of sensor nodes over which the bill must pass. The route may be dynamically changed when the user device is moved from one location to another at the POS. The customer may specify an electronic payment method in response to receiving the bill or the customer may have pre-specified the payment method. An electronic confirmation of payment may be transmitted to the POS.