Abstract: Systems, computer program products, and methods are described herein for implementing an enhanced authentication framework using Erasable Programmable Read-Only Memory (EPROM) grid pattern recognition.

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 user; 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 user; and record the NFT in a distributed ledger.

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: An apparatus for activating a physical card in a virtual environment comprises a processor associated with a server. The processor is configured to receive a request to issue a physical card to a first user and to generate a first non-fungible token (NFT) for storage in the physical card, wherein the first NFT is then displayed as a digital card in a virtual environment. The processor is further configured to receive the digital card in an interaction and to generate a second NFT. The processor is further configured to combine the first NFT and the second NFT to generate an activation NFT that allows the physical card to access a profile corresponding to the first user during an interaction. The processor is further configured to transmit the activation NFT and an instruction to the first user device to store the activation NFT in the physical card.

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: 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: A solid cleansing product including at least a first surfactant and a second surfactant present in a combined surfactant weight amount, both of the first and second surfactants being free of sulfate-containing materials; at least a first buffering agent and a second buffering agent a present in a combined buffering agent weight amount; where the combined buffering agent weight amount is at least double the combined surfactant weight amount.

Abstract: A system receives, from a first augmented reality device, a first image of a web application that shows a first element of the web application. The system receives eye tracking information that indicates eye movements of a user looking at different elements of web application. The system determines that the user is looking at the first element and that the first element is actuated. The system receives a second image of the web application that shows an error message. The system determines that the first element is faulty, records user events that led to the error message, and updates an augmented reality message for the first element by indicating that the first element is faulty.

Abstract: A system for auto-generating and sharing customized virtual environments comprises a processor associated with a server. The processor detects an avatar associated with a user device interacting with virtual environment objects in a virtual environment for an interaction with an entity. The processor generates user data objects associated with the interaction and a user profile. The processor extracts user behavior objects and user device objects from the user data objects. The processor applies a machine learning model to map the user behavior objects and the user device objects to the virtual environment objects. The processor integrates the user behavior objects and the user device objects with the virtual environment objects into a set of interaction objects based on the mapping. The processor determines customized environment virtual objects based on the interaction objects.

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: Apparatus and methods for contact-minimized automated teller machine (“ATM”) use and transaction processing using Doppler-radar based gesture recognition and authentication. The apparatus and methods may include an ATM including a millimeter-wave radar transmitter and receiver. Movement of one or more objects, including fingers, within a radar field may be analyzed and translated into gestures and authentication passcode(s). By utilizing the radar field instead of physical buttons or a touchscreen, contact with the ATM may be minimized.

Abstract: Embodiments of the present invention provide a system for secure validation, registration, and distribution of resources in a distributed electronic network. In particular, the system may be configured to determine that a user is at a third party entity location for acquiring computing device provided by a third party entity associated with the third party entity location, establish a connection between a user device of the user and the computing device, cause the user device to extract computing device information associated with the computing device, via the connection, receive an input associated with acquiring the computing device, transfer funds associated with acquiring the computing device from a resource pool of the user to an entity resource pool associated with the third party entity, via the user device, and establish a smart contract between the user and the third party entity associated with the computing device.

Abstract: Aspects of the disclosure relate to a dynamic caching platform. The dynamic caching platform may train a machine learning model based on historical complexity score information. The dynamic caching platform may receive information streams from a client metaverse device and a metaverse host system. The dynamic caching platform may generate a complexity score based on the interaction information streams using the machine learning model. The dynamic caching platform may compare the complexity score to complexity thresholds. Based on the comparison, the dynamic caching platform may identify caching rules. The dynamic caching platform may cache interaction information based on the caching rules. The dynamic caching platform may update the complexity score using the machine learning model. The dynamic caching platform may update the caching rules based on the updated complexity score. The dynamic caching platform may cache interaction information based on the updated caching rules.

Abstract: Apparatus, systems and methods for providing a four-part, virtual reality (VR) customer service interaction between a customer service avatar operating on a VR platform and a customer using both a mobile device and a VR device are provided. Methods may include activating a VR session between the customer service avatar and the customer. Methods may include validating the VR session between the customer service avatar and the customer. Methods may include processing a co-browsing VR session request. Methods may include initiating the VR session between the customer service avatar and the customer.

Abstract: Embodiments of the present invention provide a system for secure communication of information that may be used to authorize communications or transfer of resources by use of an intelligent resource instrument with embedded tactile or audio feedback mechanism. The provided systems, methods, and computer program products are designed to select and generate stimulus information, simultaneously record EEG readings for a user, and use this information to verify user identity. Upon verification of user identity, the intelligent resource instrument may be activated for use in a resource transfer.

Abstract: Embodiments herein relate to a module which can be inserted into or removed from a computing device by a user. The module includes an input-output port which is configured for a desired specification, such as USB-A, USB-C, Thunderbolt, DisplayPort or HDMI. The port can be provided on an expansion card such as an M.2 card for communicating with a host platform. The host platform can communicate with different types of modules in a standardized way so that complexity and costs are reduced. In another aspect, with a dual port module, the host platform can concurrently send/receive power through one port and send/receive data from the other port.

Abstract: Systems, apparatuses and methods may provide for technology that includes a Peltier module and a subsystem thermally coupled and electrically coupled to the Peltier module, the subsystem to monitor an operational state of the subsystem, place the Peltier module in a first power mode if the operational state indicates that a demand spike exists with respect to the subsystem, and place the Peltier module in a second power mode if the operational state indicates that the demand spike does not exist with respect to the subsystem, wherein the second power mode is associated with a lower level of system power consumption than the first power mode.

Abstract: Systems, computer program products, and methods are described herein for extracting discrete data from a data unit and managing access thereto using electronic digital certificates. The present invention may be configured to receive data units including content, identify discrete data for each data unit, and determine, for each discrete data, qualifications permitting access to the discrete data. The present invention may be configured to generate electronic digital certificates associated with the discrete data and store the electronic digital certificates on a distributed ledger. The present invention may be configured to generate, on the distributed ledger, smart contracts for managing access to the electronic digital certificates by generating smart contracts permitting access to the electronic digital certificates based on the qualifications.

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: A Subscriber Identity Module (SIM) card feature-based Non-Fungible Token. SIM card features, such as communication features, software/hardware features, electrical features, SIM Card behavior features and/or the like are extracted from the SIM card of a user's mobile communication device and a SIM card feature-based NFT is generated and stored on a distributed trust computing network. The distributed trust computing network serves to verify the authenticity of the underlying SIM card features. The NFT is subsequently used as a means for authentication is resource exchange events and other events requiring user/mobile communication device verification.