Abstract: A method includes monitoring a first geographic area and a second geographic area. In response to determining that a portion of the first geographic area overlaps with a portion of the second geographic area, an overlapping geographic area is defined. A merged rule set for the overlapping geographic area is generated by merging a first rule set associated with the first geographic area and a second rule set associated with the second geographic area. In response to determining that a user device is located within the overlapping geographic area, a merged alert is generated based on the merged rule set. The merged alert includes merged information of a first alert associated with the first rule set and a second alert associated with the second rule set. A message with the merged alert is sent to the user device.

Abstract: An intelligent technical procedure to merge two or more application programming interfaces (APIs) leveraging generative AI is disclosed. API metadata is extracted from two or more APIs (e.g., name of API, endpoints, request/response formats (JSON or XLM), authentication mechanism (API keys, OAuth, or JWT tokens), rate limits, error codes, error messages, version scheme and API documentation etc.) to formulate and generate new API based on user prompt. Using Abstract Syntax tree (AST) advance deep learning generative AI algorithms like Generative pre-trained transformer (GPT) or the like, the method can merge and construct new API based on user's requirement prompt. Method leverages smart contracts to test new generated API and deploy API in desired environment based on blockchain consent protocol to manage API.

Abstract: A system receives an image from a camera, where the image shows a physical device. The system, via deep learning object detection algorithm, determines the identity of the physical device. The system generates a virtual device in a virtual environment, where the virtual device is a virtual representation of the physical device. The system receives a user request that indicates the virtual device is requested to perform an operation. In response, the system establishes a communication path to the physical device and communicates a control signal to the physical device that causes the physical device to perform the operation.

Abstract: The present disclosure details systems and methods for homomorphic encryption-based data caching. This technology detects transaction patterns via a monitoring module that liaises with both a payment system and an entity system. Prior to its processing, transaction data is encrypted with a homomorphic encryption module. A dynamic interface, aligned with a local point-of-sale (POS) cache, prioritizes data based on current transaction metrics. If a recipient server is busy, the transaction data is rerouted, stored in the POS's local cache, and queued. The transaction's success is gauged against a predefined cut-off time. Unsuccessful transactions within this window are slated for batch processing, yet resource processing proceeds while awaiting this batch processing.

Abstract: A method includes rendering, on displays of an extended reality (XR) device, an XR environment, and detecting, based on sensor data obtained from sensors of the XR device, a device capability associated with the XR device and one or more environmental conditions associated with the XR environment. The method further includes receiving a request corresponding to one or more user interactions with an XR application. In response to receiving the request, the method includes generating, based the device capability and the environmental conditions, a dynamic digital profile to be associated with the user, in which the dynamic digital profile is dynamically generated to be responsive to one or more input modalities associated with the request, and render, on the displays, the dynamic digital profile. The rendered dynamic digital profile includes a set of elements responsive to the one or more input modalities of the request.

Abstract: An apparatus for validating a rendered object using non-fungible tokens comprises a processor associated with a server. The processor is configured to determine one or more parameters associated with a rendered object in a virtual environment, wherein the rendered object is a visual display operable for engagement in an interaction within the virtual environment. The processor is further configured to generate a non-fungible token (NFT) for assignment to the rendered object and to receive a request to establish an interaction session to conduct an interaction between a first avatar associated with a first user and the rendered object. The processor is further configured to receive a request to validate the generated NFT and to conduct the interaction between the first avatar and the rendered object in response to validating the generated NFT.

Abstract: A battery-powered device includes a baseband modem, configured to receive or send data according to a first operational mode, wherein the data correspond to a software application being executed on the battery-powered device; and a processor, configured to determine a resource requirement of the software application; and send a signal representing the determined resource requirement to the baseband modem; wherein the baseband modem is further configured to change from the first operational mode to a second operational mode based on the signal.

Abstract: Aspects of the disclosure relate to monitoring and deploying security policy rules in in a container-based computing infrastructure. A computing platform may train a quantum knowledge graph based on interactions in a container-based computing infrastructure. The computing platform may generate and deploy, to the container-based computing infrastructure, one or more security rules associated with interactions in the container-based computing infrastructure based on the quantum knowledge graph les. Subsequently, the computing platform may monitor interactions between containers in the container-based computing infrastructure and identify, using the quantum knowledge graph, an anomaly in a first interaction between a first container and a second container.

Abstract: A computing platform may detect a live interaction between an agent and a customer. The computing platform may input information of the live interaction into a first machine learning model and a second machine learning model to produce a first solution deviation score and a first emotional deviation score, respectively. The computing platform may compare the first solution deviation score to a solution deviation threshold and the first emotional deviation score to an emotional deviation threshold. Based on detecting that one or more of the solution deviation threshold or the emotional deviation threshold are met or exceeded, the computing platform may initiate one or more corrective actions. The computing platform may update, based on the first solution deviation score and the first emotional deviation score, the first machine learning model and the second machine learning model.

Abstract: A method is provided herein for evaluating a physical building, utilizing an automated image capture apparatus, a spatial computing apparatus, a machine learning model, a blockchain network, and a computer processor, the method including capturing and analyzing images of the building, dividing the building into sections, identifying defective characteristic(s) in and assigning a status to each section, sharing the images and status identifiers with a remote user, the remote user reviewing the images and identifiers, and receiving feedback from the remote user. When a section lacks sufficient images to determine whether a defect is present, the section may be flagged, and a supplemental image(s) may be captured and provided by the remote user. When no additional images are needed, the section may be indicated as completed. Otherwise, the section may retain its flagged status, and the aforementioned steps may be repeated as necessary.

Abstract: Particular embodiments described herein provide for an electronic device that includes two or more displays and a BIOS. On startup, before the premem state and MRC initialization of the boot process, the BIOS causes power to be enabled to two or more displays. A display engine determines if a hot plug for each display is asserted and for each display where the hot plug was not asserted, the path to the display where the hot plug was not asserted is closed. In an example, the BIOS communicates the signal to power enable the first display and the second display after general-purpose input/output initialization during the boot process. After the premem stage and MRC initialization are completed, the first display and the second display are both configured to begin to display pixels.

Abstract: An interface card includes a circuit board, a device mounted on the circuit board, and a PMIC mounted on the circuit board. The PMIC includes a PMIC processor communicatively coupled to a host processor of a host system. The PMIC processor is configured to receive an input voltage signal from a power supply that is external to the interface card. The PMIC processor generates at least one output voltage signal based on the input voltage signal. The at least one output voltage signal is supplied to the device. A power enable signal originating from the host processor is detected. The power enable signal is detected at a GPIO connector of the PMIC. The PMIC processor deactivates generation of the at least one output voltage signal based on the power enable signal.

Abstract: The present disclosure provides a method. The method includes receiving a request from a user to generate content using generative artificial intelligence based on an original prompt having a first specific parameter and a second specific parameter. The method includes determining an authority level of the user and determining an authority level of the first specific parameter and the second specific parameter. The method includes determining whether the user is authorized to access the first specific parameter and the second specific parameter based on the authority level of the user. The method includes modifying the first specific parameter into a first generalized parameter and modifying the second specific parameter into a second generalized parameter. The method includes creating a modified prompt to generate the content using the generative artificial intelligence, wherein the modified prompt obfuscates the content of the original prompt using the first and second generalized parameter.

Abstract: A system is provided for intelligent automated simulation of penetration testing and isolation of vulnerable distributed electronic data registers. In particular, the system may extract metadata regarding one or more nodes or sections of a distributed register. Based on the metadata, the system may generate a knowledge graph that may indicate the vulnerabilities associated with particular nodes, blocks, and/or sections of the distributed register. Based on the knowledge graph, the system may compute vulnerability scores for the various nodes, blocks, and/or sections, and generate a vulnerability heatmap based on the scores. The system may further be configured to allow a user to perform automatic simulated penetration tests on the vulnerable portions of the distributed register and/or execute one or more remediation process on such vulnerable portions. In this way, the system provides an efficient way to identify and remediate vulnerabilities within a distributed register.

Abstract: Systems, computer program products, and methods are described herein for detection and recordation of functional code logic components on a distributed development platform. The present invention is configured to retrieve, from a source code repository, a source code script, wherein the source code script is associated with a first source; initiate a machine learning model on the source code script; determine, using the machine learning model, at least one functional code logic component from the source code script; initiate an NFT source code mapping engine on the at least one functional code logic component; generate, using the NFT source code mapping engine, a NFT for the at least one functional code logic component, wherein the NFT comprises the at least one functional code logic component and information associated with the first source; and record the NFT in a distributed ledger.

Abstract: A method includes rendering on displays of a plurality of extended reality (XR) devices an XR environment. The XR environment includes a first user avatar authorized to interact with an XR application of the plurality of XR applications and a second user avatar unauthorized to interact with the XR application. The method includes receiving, by sensors of an XR device, sensor data indicative of a user intent to interact with the XR application by the second user avatar, generating, based on the sensor data, an estimation of an unauthorized interaction with the XR application by the second user avatar, executing, based on the estimation of the unauthorized interaction, a data obfuscation of information associated with an authorized interaction with the XR application by the first user avatar, and re-rendering on the displays of the plurality of XR devices the XR application in accordance with the executed data obfuscation.

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, methods, and apparatus are provided for intelligent dynamic rendering of an augmented reality (AR) display. An AR device may capture an image of a physical environment. Feature extraction combined with deep learning may be used for object recognition and detection of changes in the environment. Contextual analysis of the environment based on the deep learning outputs may enable improved integration of AR rendering with the physical environment in real time. A BLE beacon feed may provide supplemental information regarding the physical environment. The beacon feed may be extracted, classified, and labeled based on user interests using machine learning algorithms. The beacon feed may be paired with the AR advice to incorporate customized location-based graphics and text into the AR display.

Abstract: A method for increasing the security of quick response (“QR”) code processing may include creating an inactive QR code. The inactive code may include an algorithmic code and a plurality of dynamic placeholders. The method may retrieve a scan of the inactive QR code using a QR code scanning device and also prevent the scan of the inactive QR code from being processed at the QR code scanning device. The method may receive the scan of the inactive QR code at a central server and interpret the algorithmic code to identify a plurality of non-fungible tokens (“NFTs”) for filling the plurality of dynamic placeholders. The method may fetch the plurality of NFTs and complete the incomplete QR code to form a complete QR code. The completing may include filling the plurality of dynamic placeholders with the plurality of NFTs and interpreting the complete QR code.

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.