Abstract: Systems, computer program products, and methods are described herein for improving cybersecurity by using webpage rendering telemetry to detect webpage anomalies. The present invention is configured to identify at least one electronic communication, wherein the at least one electronic communication comprises at least one electronic link; route the at least one electronic communication to a cybersecurity analyzer sandbox; construct, by a cybersecurity analyzer sandbox, a webpage rendering based on the at least one electronic link; collect, by the cybersecurity analyzer sandbox, at least one webpage telemetry data; collect, by the cybersecurity analyzer sandbox, at least one webpage rendering type data; identify at least one baseline webpage rendering; apply at least one of the at least one webpage telemetry data or the at least one webpage rendering type data and the at least one baseline webpage rendering to a webpage anomaly detection model; and generate a cybersecurity score.

Abstract: A computing device includes a plurality of baseband processing circuitries. Each baseband processing circuitry of the plurality of baseband processing circuitries is configured to process signals for reception or transmission using a communication standard of a corresponding plurality of communication standards. The computing device further includes an application processor coupled to the plurality of baseband processing circuitries. The application processor is configured to determine a bandwidth of an application executing on the application processor of the computing device, determine a plurality of latencies associated with each baseband processing circuitry of the plurality of baseband processing circuitries, and select a baseband processing circuitry of the plurality of baseband processing circuitries to process transmit or receive data of the application based on the bandwidth and the plurality of latencies.

Abstract: Intelligent and dynamic power consumption optimization during minting of a digital asset, such as an NFT or the like. Metadata is extracted from a digital file and the extracted metadata is applied to Machine Learning (ML) models, such as Deep Learning (DL) models to determine an optimal power consumption scheme for minting the digital asset from the digital file. In response to determining the optimal power consumption, the digital asset is minted using the optimal power consumption scheme. The optimal power consumption scheme may define (i) a distributed trust computing network for minting the digital asset, including the geographic location of the distributed trust computing network, (ii) a minting algorithm used to mint the digital asset, (iii) a consensus algorithm for validating minting of the digital asset, and (iv) a storage location for the digital file once the digital asset has been minted.

Abstract: Intelligent validation of digital resources through power consumption telemetry tracking. Power consumption telemetry data associated with a digital asset is extracted from distributed trust computing networks and the like and is subsequently applied to Artificial Intelligence, such as ML models to determine a power consumption indicator. Validation rules engine is executed, which selects validation rules based at least on digital asset type and applies, at least, the power consumption indicator to the selected validation rules to determine validation status. The validation status, which may be partially based on a minimal power consumption threshold, is determinative as to whether or not the digital asset is authorized for acceptance into a digital asset exchange platform.

Abstract: A method of managing a driving mode of a mobile device including sending a driving mode enabling request to a network by the mobile device, receiving a response in associate with the driving mode enabling request from the network, and enabling a driving mode according to the response. The response from the network includes an indication that the driving mode enabling request is granted.

Abstract: An apparatus may be configured to evaluate encrypted data. The apparatus may comprise a memory communicatively coupled to a processor. The memory may be configured to store an asset roster. The processor may be configured to monitor user device communication at a user device, homomorphically encrypt the user device communication as encrypted user device communication, and the processor may identify a caller of interest in communication with the user device by evaluating the encrypted user device communication. Further, the processor may be configured to determine that the asset roster comprises an asset identifier associated with the caller of interest, identify cyphertext words from the encrypted user device communication, and in response to evaluating the cyphertext words, determine that the caller of interest is an attacker attempting to obtain sensitive information associated with the user device based at least in part the predefined phrases identified in the encrypted user device communication.

Abstract: Example systems, apparatus, articles of manufacture, and methods to improve audio quality based on load impedance sensing are disclosed. An example apparatus disclosed herein is to cause at least one test signal to be output to an audio device, a voltage of the at least one test signal based on a default load impedance. The example apparatus disclosed herein is to execute the instructions to measure a current drawn by the audio device based on the at least one test signal. The example apparatus disclosed herein is to execute the instructions to change the voltage based on an impedance profile, the impedance profile based on the measured current.

Abstract: A method of Wi-Fi access point (AP) selection including connecting user equipment (UE) with a first Wi-Fi AP, establishing connection with an IMS Network for an IMS call, exchanging a plurality of first messages between UE and a network if the first Wi-Fi AP is connected to the UE, observing first network metrics of the plurality of first messages by the UE, and disconnecting the first Wi-Fi AP and connecting a second Wi-Fi AP with the UE for the observation of the second network metrics.

Abstract: A switchgear which includes a cable compartment enclosed by walls and a cover, and a cable connector arranged in the cable compartment. The cable connector is configured to electrically connect a cable to a cable bushing located in the cable compartment. cable connector includes a first portion to which the cable is connected and a metal plate arranged inside the cable compartment. The shortest distance between a main body and an outer surface of the first portion is in the range of 0 to 10 mm.

Abstract: A system is configured to determine multiple sub-requests from one of service requests received from a user device. The system associates each sub-request to at least one knowledge domain. The sub-requests are transmitted to a decentralized network. In turn, the decentralized network generates one or more responses associated with each knowledge domain in each sub-request. At this stage, the system relates multiple responses corresponding to the received service request to a same identifier (i.e., a common identifier) and provide the responses related to the identifier to the user device as a single service request response.

Abstract: Some examples relate to using a wireless packet for activating a wireless local area network capability on a user device. In an example, a user device receives a wireless packet comprising carrier network identification information from a low energy wireless broadcast enabled access point of a carrier network. In response to determining that the carrier network identification information in the wireless packet matches with carrier network information on the user device, the user device provides a notification message to activate a wireless local area network capability on the user device. After the wireless local area network capability is activated, the user device establishes a network connection with the access point and access the wireless local area network of the carrier network via the network connection.

Abstract: Systems, computer program products, and methods are described herein for secure apparatuses to share and deploy machine build programs utilizing unique hash tokens. The invention includes the steps of transforming a resource machine build-program into a first non-fungible token (NFT1) via a resource machine build orchestration module, embedding NFT1 into a flash drive using a flash drive preparation module, generating a second non-fungible token (NFT2) during an interaction of a resource machine with the USB flash drive via a dynamic NFT generator module, wherein NFT2 includes data representing an ownership certificate for the resource machine build owned by a vendor, generating a resultant integrated non-fungible token (NFT3) via a dynamic smart contract module, wherein NFT3 is generated by combining NFT1 and NFT2, and activating and deploying the resource machine build-program on the resource machine via a build activation module, wherein the activation is triggered by the generation of NFT3.

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: 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: A color-changing smart card may be provided. The smart card may include a first layer encasing at least a front of the smart card. The smart card may include a smart chip on the front of the smart card. The smart chip may be configured for transmitting and receiving electronic communications to and from a point of sale (“POS”) device. The smart card may include microcapsules residing on a second layer of the smart card. When the microcapsules are in a rest state the first layer may have a first color. When the microcapsules are in an active state the first layer may have a second color. The microcapsules may be triggered to change the color in response to the smart chip receiving an electronic communication of a status of a transaction initiated by the smart card at the POS device.

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.