Abstract: A QR code may be viewed with smart glasses having an eye tracker. The QR code may be selected by a user focusing on the QR code. The QR code may be captured. The captured QR code may trigger a display on the lens of an object, such as a selector, a bill payment method, or a keypad, or a web page. A user may select and hold a selector object at a first position by focusing on it. Subsequent eye movement may drag the selector object to a new position. A payment method may be selected when the selector object is dropped at the new position having a payment method object. A payment method may be alternatively selected when the user focuses directly on the payment method object. A password may be entered on a keypad or keyboard shown on the lens using eye tracking.

Abstract: Provided herein is a machine learning engine for increasing efficiency of an application written in a computer code, the code associated with a programing library that includes a library function, the function being associated with a default algorithm and a plurality of alternate algorithms. The machine learning engine may be configured to scan the code to identify occurrences of the library function; create altered application versions having altered algorithm(s); instruct a processor to iteratively execute the altered versions of the application; record an execution parameter associated with executing the library function at each occurrence; and output an optimized algorithm associated with the library function for each occurrence, based at least in part on the execution parameter.

Abstract: Arrangements for pre-authenticating users to interactive voice response (IVR) systems are provided. In some examples, a user may initiate, via an application executing on a mobile device of the user, a telephone call to an IVR system. A computing platform may intercept the call and may generate a one-time passcode (OTP). The OTP may be appended to the telephone number as a suffix and the telephone call may be initiated with the IVR system using the telephone number and appended suffix. The IVR system may extract the OTP and may validate the OTP. If the OTP is validated, the call may be initiated as a pre-authenticated call in which the IVR system might not request authentication data from the user. If the OTP is not validated, the call may be initiated as a standard call in which the IVR system may request authentication data from the user.

Abstract: Arrangements for pre-authenticating users to interactive voice response (IVR) systems are provided. In some examples, a computing device may receive and store a valid telephone number associated with an enterprise organization IVR system and an enterprise organization application programming interface (API) access key. A request to initiate a communication session with the IVR system may be received and the request may include a telephone number. If the telephone number matches the valid telephone number, an API call to the enterprise organization may be made and a one-time passcode (OTP) may be received. The telephone number may be appended to include the OTP as a suffix and the communication session with the IVR system may be initiated. The IVR system may extract the OTP and validate the OTP. If the OTP is validated, the communication session may be initiated as a pre-authenticated call.

Abstract: A method for session-sharing between an electronic interactive session hosted at a first device and a session hosted at a second device is provided. The second device includes a display arrangement to input confidential information to the second device absent visual trespass. The method also includes establishing communication between a common data storage device, the first device and the second device, transferring user session initiation information to the common data storage device and receiving a user command. The user command locks the first user session at the first device, sends an instruction to the first device to mask a display associated with the first user session, maintains the session initiation information entered at the first device in the database and creates a second user session. The second user session invokes the information from the first device in order to support a confidential data input session at the second device.

Abstract: A session-sharing system smoothly toggles between a first device session and a pre-registered second device session. The second computing device enables input confidential information absent visual trespass. The second device is pre-registered with a private key for unlocking a public key. A common data storage device establishes electronic communication between the first and second computing devices by invoking trigger information incorporating a public key from the first computing device. The second computing device executes the trigger information by decoding the public key. The first computing device receives the user session initiation information and then transfers it to the common data storage device.

Abstract: During a software development lifecycle of a software application, application library versions are modified and multiple versions are built and packaged to be installed on different computing systems. An intelligent prediction and capture of runtime errors that may be encountered during a runtime of a software application provides a system-agnostic intelligent software code compiler/build system that intelligently identifies runtime errors at a build stage using artificial intelligence (AI) and automatically encapsulates specific software code to auto-heal runtime exceptions caused by updates to library files. The system may optionally also output a solution to the runtime error to the graphical user interface (GUI) of a software developer capable of performing another software application build.

Abstract: It is quite apparent that deployment of different sensors or combination of different sensors in underwater sensor network (UWSNs) helps researchers and environmentalists to gather valuable data on oceanography, marine life, water quality, and environmental changes in underwater ecosystems, contributing to a better understanding of the planet's aquatic environments. Therefore, the present invention is directed to provide a system and method for establishing energy-optimized UAV-assisted underwater wireless sensor network (FIG. 1) to collect data from sensor nodes placed underwater through deployment of a set number of gateway nodes equipped with solar harvesting module embedded on to them. The purpose of this invention is to reduce the impact of the hot-spot issue in UWSN.

Abstract: Systems, computer program products, and methods are described herein for determining resource misappropriation using an advanced computational model for data analysis and automated decision-making. The present disclosure is configured to receive an interaction, wherein the interaction comprises a user and a caller; determine an instance of misappropriation during the interaction using an artificial intelligence model, wherein the instance of misappropriation comprises the caller attempting to collect sensitive information associated with the user; generate a misappropriation interface component, wherein the misappropriation interface component comprises data associated with the instance of misappropriation; and notify the user of the instance of misappropriation.

Abstract: Apparatus and methods are provided for extracting and displaying information and data from a stream of information on a pair of smart glasses. One or more content filters describing the desired information and data may be communicated to a content filtering module. The content filtering module may process the stream of information to search for the desired information and data. When the desired information is found within the stream of information, the content filtering module may highlight the desired information, while blurring all other information, within a display on the pair of smart glasses.

Abstract: Provided herein is a method for processing a split transaction, including generating or accessing an MPQR code, enumerating the transactors, assigning a split payment amount to each transactor, displaying the MPQR code in a scannable location, scanning the MPQR code by a mobile computing device of each transactor, generating a personalized visual representation of the MPQR code for each transactor and displaying it on their mobile devices with a hyperlink to that transactor's payment processing site, debiting the split payment from each transactor, holding in escrow the split payments until the transactors collectively remit the total transaction amount, and, after the transactors have collectively remitted the total transaction amount, transferring the split payments to the merchant.

Abstract: A method can include implementing a control scheme for a plurality of wells; using the control scheme, classifying each of the wells; based on the classifying, identifying one or more of the wells as experiencing liquid loading; and issuing a control instruction to perform an unloading operation for the one or more of the wells.

Abstract: Provided herein is a machine learning engine for increasing efficiency of an application written in a computer code, the code associated with a programing library that includes a library function, the function being associated with a default algorithm and a plurality of alternate algorithms. The machine learning engine may be configured to scan the code to identify occurrences of the library function; create altered application versions having altered algorithm(s); instruct a processor to iteratively execute the altered versions of the application; record an execution parameter associated with executing the library function at each occurrence; and output an optimized algorithm associated with the library function for each occurrence, based at least in part on the execution parameter.

Abstract: Arrangements for optimized navigation through an application are provided. In some examples, a request for application navigation assistance may be received from a user via an application executing on a device. The request for assistance may include identification of a desired destination within the application. A destination node associated with the identified destination may be identified and a current node of the may be identified. Based on the current node and the destination node, a machine learning model may be executed to output an optimized navigation route from the current node to the destination node. One or more user interfaces may then be dynamically generated and transmitted to the user to facilitate navigation through the application from the current node to the destination node.

Abstract: Systems and methods presented herein provide for a box chain conveyor adsorption moving bed that separates carbon dioxide from a gas mixture. A box chain conveyor is oriented around a wall, including a chain that moves in a closed loop around the wall. One side of the box chain conveyor is in an adsorption section and an opposite second side is in a desorption section. Particle boxes contain adsorbent particles, and the chain moves the particle boxes around the wall in the closed loop. Heated gas passes through the desorption section, causing CO2 to desorb from particle boxes in the desorption section. Desorbed CO2 is expelled from an output.

Abstract: Systems and methods presented herein provide for a screw conveyor adsorption moving bed that separates carbon dioxide from a gas mixture. Adsorbent particles are transported between an adsorption section of the reactor, which can be an outer column, and a desorption section, which can be an inner column. The particle transport is facilitated by the screw conveyor located inside the inner column. The screw conveyor is specially designed to have a hollow screw, shaped as a spiral surface, attached to a central shaft. The screw surface is also equipped with plurality of holes and a flexible edge attachment to seal against the cylindrical surface. The hollow shape allows the gas to flow from the inlet of the shaft to the particles through the holes on the screw, thus creating uniform gas distribution.

Abstract: Systems and methods are provided for categorizing a transfer target destination associated with a quick response (“QR”) code. An artificial intelligence (“AI”) engine may receive a plurality of recommendations for categorizing the transfer target destination. Each recommendation may be passed through a natural language processing (“NLP”) algorithm. Each recommendation may then be parsed by the AI engine to extract tag words. Each tag word may be mapped to a respective category. Each instance of each tag word and associated category may be stored in a database. The number of instances of each tag word and associated category may be counted. A percentage may be calculated for each category based on the number of instances associated with each category and the total number of instances of all the tag words.

Abstract: Systems and methods for autofilling and autocorrecting an AI supported UI form text field via smart glasses are provided. The data autofillted and autocorrected may be identification data, including account numbers and user IDs. The smart glasses may work together with a conversation tracking application and a smart glasses UI. Methods may include prompting agents based on real-time conversational analysis with context clues and texts to assist and maintain customer eye contact. Methods may further include capturing segments of data within conversational analysis and storing the segments of data in memory on the smart glasses. Methods may further include updating smart glasses UI form text fields based on AI supported autocorrection from real-time conversation, by autofilling the segment of data in the smart glasses UI form text fields.

Abstract: Systems, computer program products, and methods are described herein for secured data analysis and synthetic identity detection in a distributed ledger network. The present invention is configured to receive an event for a predetermined set of occurrences, generate a first hash packet and a second hash packet, wherein the first hash packet is generated by applying a hashing engine to a first identifier, and wherein the second hash packet is generated by applying the hashing engine to a second identifier, generate, by a distributed ledger server, a first key pair, generate, by the member of the distributed ledger network, a second key pair, encrypt a bundle using the first public key, wherein the bundle comprises the first and second hash packets, and appending the bundle to the transaction object, wherein the transaction object is distributed to the distributed ledger network.

Abstract: Methods are provided for an artificial intelligence (“AI”) agent answering a call within a voice AI container. The methods may include the AI agent receiving the call from a human caller within the voice AI container, the call may include a query. The methods may include parsing the query to identify context associated with the query. The methods may include identifying using the context an intent of the query. The methods may include determining whether a first valid mapping stored within a backend database, located in the voice AI container, is associated with the intent of the query. The methods may include loading the first valid mapping. The methods may include navigating an agent screen using the loaded valid mapping. The methods may include gathering information required to satisfy the intent of the query. The methods may include relaying the information to the human caller.