Abstract: The disclosure describes various aspects of quantum computer simulators. In an aspect, a method for characterizing a quantum computer simulator includes identifying simulator processes supported by the quantum computer simulator, generating, for each simulator process, characteristic curves for different gates or quantum operations, the characteristic curves including information for predicting the time it takes to simulate each of the gates or quantum operations in a respective simulator process, and providing the characteristic curves to select one of the simulator processes to simulate a circuit, quantum program, or quantum algorithm that uses at least some of the gates or quantum operations. In another aspect, a method for optimizing simulations in a quantum computer simulator is described where a simulator process is selected for simulation of a circuit, quantum program, or quantum algorithm based on characteristic curves that predict a time it takes for the simulation to be carried out.

Abstract: Apparatus and methods for performing qubit readout. In one aspect, an apparatus includes a qubit that operates at a qubit frequency; a frequency controller that is configured to control the qubit frequency and that during a qubit measurement operation is configured to: determine a compensation pulse that when applied to the qubit, counteracts qubit frequency changes during the qubit measurement operation; and apply the determined compensation pulse to the qubit during the qubit measurement operation to maintain the qubit frequency.

Abstract: A tunable resonator is formed by shunting a set of asymmetric DC-SQUIDs with a capacitive device. An asymmetric DC-SQUID includes a first Josephson junction and a second Josephson junction, where the critical currents of the first and second Josephson junctions are different. A coupling is formed between the tunable resonator and a qubit such that the capacitively-shunted asymmetric DC-SQUIDs can dispersively read a quantum state of the qubit. An external magnetic flux is set to a first value and applied to the tunable resonator. A first value of the external magnetic flux causes the tunable resonator to tune to a first frequency within a first frequency difference from a resonance frequency of the qubit, the tunable resonator tuning to the first frequency causes active reset of the qubit.

Abstract: A quantum computing system and methods for performing fault-tolerant quantum computing. A fusion controller sequentially performs a series of fusion measurements on different fusion sites of a plurality of fusion sites to obtain a respective series of classical measurement results. The series of fusion measurements is performed on quantum modes of a logical qubit. For respective fusion measurements of the series of fusion measurements, a basis for performing the respective fusion measurement is selected based on classical measurement results of previous fusion measurements. The series of classical measurement results are in the memory medium.

Abstract: An entangled quantum cache includes a quantum store that receives a plurality of quantum states and is configured to store and order the plurality of quantum states and to provide select ones of the stored and ordered plurality of quantum states to a quantum data output at a first desired time. A fidelity system is configured to determine a fidelity of at least some of the plurality of quantum states. A classical store is coupled to the fidelity system and configured to store classical data comprising the determined fidelity information and an index that associates particular ones of classical data with particular ones of the plurality of quantum states and to supply at least some of the classical data to a classical data output at a second desired time. A processor is connected to the classical store and determines the first time based on the index.

Abstract: Systems and methods for preventing machine learning models from negatively affecting mobile devices are provided. For example, a mobile device including a camera, memory devices, and one or more processors is provided. In some embodiments, the processors may be configured to provide images captured by the camera to a machine learning model at a first rate. The processors may also be configured to determine whether one or more of the images includes an object. If one or more of the images includes the object, the processors may be further configured to adjust the first rate of providing the images to the machine learning model to a second rate, and in some embodiments, determine whether to adjust the second rate of providing the images to the machine learning model to a third rate based on output received from the machine learning model.

Abstract: A method is provided that includes generating a visual environment for interactive development of a machine learning (ML) model. The method includes accessing observations of data each of which includes values of independent variables and a dependent variable. The method includes performing a feature construction and selection based on the interactive EDA, and in which select independent variables are selected as or transformed into a set of features for use in building a ML model to predict the dependent variable. The method includes an interactive model building to build the ML model using a ML algorithm, the set of features, and a training set produced from the set of features and observations of the data. And the method includes outputting the ML model for deployment to predict the dependent variable for additional observations of the data.

Abstract: A device, system and method for training machine learning models using messages associated with provider objects is provided. One or more computing devices: receives messages associated with provider objects representing items provided by provider systems, the messages having more than one format; stores harmonized objects corresponding to the messages, the harmonized objects generated using mappings of harmonized data of the harmonized objects to message data of the messages, the harmonized objects having common formats for a harmonized object type; extracts, from the harmonized objects, for a given machine learning model, given machine learning training data; generates, for the given machine learning model, using the given machine learning training data, at least one machine learning classifier; and provides the at least one machine learning classifier to the given machine learning model at one or more servers configured to implement the given machine learning model on received provider objects.

Abstract: Systems, methods, and other embodiments associated with autonomous cloud-node scoping for big-data machine learning use cases are described. In some example embodiments, an automated scoping tool, method, and system are presented that, for each of multiple combinations of parameter values, (i) set a combination of parameter values describing a usage scenario, (ii) execute a machine learning application according to the combination of parameter values on a target cloud environment, and (iii) measure the computational cost for the execution of the machine learning application. A recommendation regarding configuration of central processing unit(s), graphics processing unit(s), and memory for the target cloud environment to execute the machine learning application is generated based on the measured computational costs.

Abstract: A data processing method includes: obtaining first sample data, and determining a target model and a feature set corresponding to the target model; obtaining second sample data, and dividing the second sample data into a development data set and a validation data set based on a predetermined proportion or a predetermined chronological order; respectively determining final sample data of the first sample data and retained sample data of the development data set based on the target model, the feature set corresponding to the target model, the first sample data, the development data set and the validation data set; and merging the final sample data and the retained sample data to obtain a modeling data set corresponding to a first business project. A data processing apparatus, and a computer device for implementing the data processing method are further provided.

Abstract: A signal selection device (10) selects, from a plurality of candidate signals, a training signal for learning a model (20) usable for data analysis. The signal selection device (10) includes a first acquirer (11) that acquires the plurality of candidate signals and training labels associated with the plurality of candidate signals and being status values corresponding to results of analysis performed using the model, a feature calculator (13) that calculates one or more features for each of the plurality of candidate signals, and a selector (16) that selects the training signal from the plurality of candidate signals based on a degree of relevance between the one or more features and the training labels.

Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.

Abstract: Methods of evaluating and deploying machine learning models for anomaly detection of a monitored system and related systems. Candidate machine learning algorithms are configured for anomaly detection of the monitored system. For each combination of candidate machine learning algorithm with type of anomalous activity, training and cross-validation sets are drawn from a benchmarking dataset. Using each of the training and cross-validation sets, a machine-learning model is trained and validated using the cross-validation set with average precision as a performance metric. A mean average precision value is then computed across these average precision performance metrics. A ranking value is computed for each candidate machine learning algorithm, and a machine learning algorithm is selected from the candidate machine learning algorithms based upon the computed ranking values.

Abstract: Methods and Systems implement patient management. In some cases, a patient management system 200 may include one or more respiratory pressure therapy devices to deliver respiratory pressure therapy to patients, and generate therapy data relating to a therapy session for a patient. The patient management system may include a data server communicating with the therapy device(s). The data server may compute, from therapy data, therapy summary data for the session, the summary data may include one or more statistics summarising therapy data. The patient management system may include a therapy management server communicating with the data server. The therapy management server may apply one or more rules to the summary data, update or generate one or more workflow groups of patients, each workflow group corresponding to a rule, depending on results of the respective rule applications; and/or serve a graphical layout representing one or more workflow groups.

Abstract: A method for generating a schedule for the transmission of time-triggered, TT, messages in a network, wherein said network communicates TT messages according to said schedule and based on a global, network-wide time, wherein said network communicates rate-constrained, RC messages, wherein for each of said RC messages real-time requirements are provided, wherein the method comprises: Step 1: setting the transmission time of all TT messages which are communicated in the network, and Step 2: executing a search function to find a set of TT transmission times so that the real-time requirements of all RC messages are fulfilled, and when all real-time requirements or at least real-time requirements for defined RC messages are fulfilled, generating in Step 3: the schedule based on the transmission times retrieved in Step 2, or executing Step 2 again when not all real-time requirements or not all real-time requirements for the defined RC messages are fulfilled.

Abstract: An analysis method includes: executing first accumulation processing for accumulating analysis reports including an analysis item regarding an analysis target and analysis results with respect to the analysis item; executing first extraction processing for extracting the analysis item and texts representing the analysis results from each of the analysis reports accumulated; executing first identification processing for identifying analysis techniques corresponding to the texts extracted; executing generation processing for generating analysis patterns; executing second identification processing for identifying first analysis patterns; executing third identification processing for identifying other analysis patterns; executing second accumulation processing for accumulating pattern information; executing second extraction processing for extracting the analysis item and the texts from a new analysis report; and executing output processing for identifying an analysis technique.

Abstract: Systems and methods are disclosed for scheduling a workforce. In one embodiment, the method comprises receiving a shift activity template; receiving an association between the shift activity template and at least one worker; and scheduling a plurality of schedulable objects. The scheduling is performed in accordance with a workload forecast and schedule constraints. Each of the schedulable objects is based on the shift activity template. The shift activity template describes a worker activity performed during a shift. The template has range of start times and a variable length for the activity. The activity is associated with a queue.

Abstract: The present disclosure is related to computing devices, systems, and methods for a new task-engine system that connects to a variety of task-interaction providers, enabling a user to use any one of multiple task-interaction providers to create and complete tasks within a workflow. That is, the connection to a variety of task-interaction providers allows a user to interact with the workflow through any of the task-interaction providers and create and/or complete any number of tasks in the workflow. The task-engine system may also update the creation and/or completion of a workflow task in all other task-interaction providers, such that all users may be aware of, or notified of, the current state of the workflow through any of the task-interaction providers.

Abstract: Refrigeration management includes determining an optimal operational schedule to control a refrigeration system for a cold storage facility. Various approaches can be used to determine an operational schedule with an optimal operational outcome that satisfies constraints representative of a range of factors, such as thermal characteristics of a refrigeration management system, energy cost, and environmental factors external to the system, which can affect refrigeration management of a cold storage facility.

Abstract: A system and method are presented for adaptive skill level assignments of agents in contact center environments. A client and a service collaborate to automatically determine the effectiveness of an agent handling an interaction that has been routed using skills-based routing. Evaluation operations may be performed including emotion detection, transcription of audio to text, keyword analysis, and sentiment analysis. The results of the evaluation are aggregated with other information such as the interaction's duration, agent skills and agent skill levels, and call requirement skills and skill levels, to update the agent's profile which is then used for subsequent routing operations.

Abstract: A method for determining current capacity allocation and available capacity of an assignee may include determining an individual resource capacity for each open issue assigned to the assignee. The individual resource capacity is based on a workpoint assigned to each open issue and a skill level of the assignee. The workpoint represents an amount of effort required to complete each open issue. The method may also include determining the current capacity allocation by summing individual resource capacities for the assignee, determining a capacity hours by identifying a number of hours in a certain work period, determining the available capacity of the assignee by subtracting the current capacity allocation for the assignee from the capacity hours, and outputting the current capacity allocation and the available capacity of the assignee.

Abstract: A delivery plan creating device includes: a delivery request acquisition unit that acquires a delivery change request; a change instruction deadline calculation unit that calculates, based on a delivery time range contained in the delivery change request, a change instruction deadline representing a deadline that can instruct a change in a delivery plan; a storage unit that stores conditional calculation record information in which a delivery condition set at a time of creating an executed delivery plan is in association with calculation time required for creating the executed delivery plan; a search unit that selects a delivery condition set similar to the delivery change request from the conditional calculation record information; and a calculation starting time point calculation unit that calculates a calculation starting time point by counting the calculation time in association with the selected delivery condition set backward from the change instruction deadline.

Abstract: As a plurality of resource types relating to production, there are two or more resource types including Money from among resource types of Man, Machine, Material, and Money. Execution past record information indicates, for each of one or more resource types other than Money and for each resource belonging to the resource type, a step performed on the resource and an execution time block of the step. Expense information indicates, for at least one of the above-mentioned one or more resource types and for each resource belonging to the resource type, an expense relating to the resource. The system displays a cost chart based on the result of the cost calculation process. The cost chart shows costs in management unit same as or different from those of the steps, and has a time axis and a management unit axis (axis perpendicular to the time axis).

Abstract: Some embodiments of a system for communicating vehicle information can provide equipment for use inside a fleet vehicle to facilitate prompt and efficient transfer of vehicle and driver information. In particular embodiments, the system may include an electronic onboard recorder mountable in a vehicle and a mobile communication device that is configured to wireless communication with the electronic onboard recorder.

Abstract: Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.

Abstract: A trace history generation method includes receiving from an originating participant in a custody chain of transactions of an asset, by an intermediate participant, a trace history request for the asset. The request has an identification of an owner, data identifying the asset and a parent transaction identification in association with another of the participants, and a hash of the data. Thereafter, an identifier is assigned for the request and the request verified by interrogating a blockchain with the hash. Upon verification, a trace history document is generated including the data identifying the asset, an identifier of the intermediate participant, and a disposition of the asset including an identifier of a next nearest participant. A hash is computed for the trace history and a blockchain transaction performed recording and storing the hash in connection with the assigned identifier. Finally, the document is transmitted to the originating participant.

Abstract: A computer-implemented method for using network data in an automated delivery system is provided. The method is implemented using a delivery validation server in communication with a memory. The method includes receiving an online order originating from a user computer device. The online order includes a delivery address and network information associated with a wireless network associated with the delivery address. The method also includes configuring a delivery device based on the network information and the delivery address, and receiving a delivery confirmation message transmitted from the delivery device through the wireless network associated with the delivery address. The delivery device is connected to the wireless network based on the network information.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided. In one embodiment, computing entities can establish direct communications with one another using a variety of protocols and standards. Such direction communications can be monitored or attempted to be established to determine whether an item is allowed or disallowed for delivery.

Abstract: A data structure representing the state of courier assignments is described. For each courier assignment, the data structure contains: information identifying a destination location for the courier assignment; information identifying a drop-off protocol specified for the courier assignment, the drop-off protocol specifying a sequence of steps; and, for each of at least some of the steps of the identified drop-off protocol, a representation of compliance evidence collected with respect to the step of the courier assignment. The contents of the data structure are usable to present collected compliance evidence for steps of the drop-off protocol specified for courier assignments among the plurality of courier assignments, either contemporaneously or at later times.

Abstract: A method for recording a custodial chain and identifying anomalies in the chain; said method comprising defining or identifying a first element and assigning a first element identifier to it; associating the first element identifier physically with the first element; defining or identifying at least a second element and assigning a second element identifier to it; associating the second element identifier physically with the second element; aggregating the at least first element and second element physically as an aggregated element and assigning an aggregated element identifier to it; defining an aggregated element record which includes the aggregated element identifier and the at least first element identifier and the at least second element identifier; recording the identifiers as records in a database.

Abstract: Various embodiments provide systems and methods for facilitating synchronized delivery of shipments/items scheduled to be delivered to multiple serviceable points located nearby one another. Various embodiments identify nearby serviceable points based on an identification of serviceable points being logically clustered. Accordingly, various embodiments store a record for a serviceable point comprising data identifying the serviceable point and data identifying a second serviceable point. Thereafter, shipping data for a first shipment to be delivered to the serviceable point is received, and the record for the serviceable point is accessed to retrieve the data identifying the second serviceable point. A second shipment scheduled to be delivered to the second serviceable point is identified, and an indication is provided that the first and second shipments are eligible for synchronized delivery.

Abstract: An occupancy sensing based system for custodial service management is disclosed that allows schedule custodial services based on actual usage of a site, such as a restroom, instead of following a static schedule and hence can potentially save a significant amount of labor cost. The system is very accurate, privacy aware, and easy to use. In addition to allowing custodial management to optimize their workforce, the system is capable of detecting theft of supplies and performing inventory management. It can be useful in airports, hospitals, stadiums, theaters, academic buildings, convention centers, and many other dynamic places.

Abstract: One example of computerized inventory redistribution control includes, for each location inventory record in a set of location inventory records, calculating a quantity change that will bring a current item quantity to a different item quantity for the location inventory record. Determining a cost of a minimum-cost redistribution among the physical locations to effect the quantity changes. Determining a scaling factor that maximizes total revenue when the quantity changes are scaled by the scaling factor after deducting the cost scaled by the scaling factor. Generating transfer instructions for a redistribution of the item by scaling the transfer quantities of the minimum-cost redistribution by the scaling factor. Transmitting each transfer instruction to a computing device associated with a physical location indicated in the transfer instruction.

Abstract: Automated inventory management and material (or container) handling removes the requirement to operate fully automatically or all-manual using conventional task dedicated vertical storage and retrieval (S&R) machines. Inventory requests Automated vehicles plan their own movements to execute missions over a container yard, warehouse aisles or roadways, sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. They identify, localize, and either pick-up loads (pallets, container, etc.) or drop them at the correctly demined locations. Systems without full automation can also implement partially automated operations (for instance load pick-up and drop), and can assure inherently safe manually operated vehicles (i.

Abstract: In the method according to embodiments, a characteristic vector of a preset dimension is generated based on attribute information of the to-be-shelved product in each attribute of a preset attribute set, and the generated characteristic vector is imported into a pre-trained current-period outbound quantity prediction model to obtain a predicted current-period outbound quantity of the to-be-shelved product; a shelving cost of the shelving task is determined based on a current inventory of the to-be-shelved product in the target warehouse, the to-be-shelved number, a volume of the to-be-shelved product, and the predicted current-period outbound quantity of the to-be-shelved product; a central storage position of the shelving task is determined based on the shelving cost of the shelving task, a predetermined product shelving cost table and a predetermined storage position shelving path length table; and a recommended storage position information set corresponding to the shelving task is generated and outputted.

Abstract: Validated tracking of events associated with equipment during the course of a resource arrangement. The events include location-changing events, which provide for a physical change in location of the equipment. The verified tracking of the events is provided by a distributed trust computing network, which through convergence by one or more decentralized nodes provides for authenticating/validating data stored within distributed registers/ledgers. Specific to the invention, once a location-changing event is determined/detected, the location-changing event is registered in the distributed trust computing network by creating and validating a data block within a distributed register/ledger that includes information pertaining to the location-changing event.

Abstract: Methods and systems for optimizing item assortments are disclosed. One method includes receiving a request for an optimized assortment. Data relating to items within a selected initial item assortment and item universe is accessed. Constraints are applied to the items in the assortment to arrive at an optimized item assortment. Constraints include goals for optimization, lock in and lock out rules, and item attribute rules. The method may be performed by a system including one or more computing devices communicating via a network with one or more data storage devices.

Abstract: A method of improving computer and database systems for location, operation, call, update, and supply of product, in particular industrial lubricant products, to vessels at ports located across the world, comprising: first generating, by a processor, a first ranking of a plurality of ports based on locational data of the vessel and net delivery costs of the lubricant product at the plurality of ports; then generating, by the processor, a second ranking of the plurality of ports based on lubricant-supplying facilities present at the plurality of ports and market clearing prices of the lubricant product at the plurality of ports; then selecting one of the plurality of the ports based on the first ranking and the second ranking; also, supplying the lubricant product to the vessel at the selected port.

Abstract: The present disclosure is directed to systems and methods including generating image data and audio data during a collaborative work using a stereoscopic camera system and a binaural microphone system, determining that physical media have been affixed to a work surface and, for each physical medium, providing a digital object including data representative of the physical medium, and determining that a session has ended, and in response, automatically: processing at least a portion of data of the digital objects using one or more clustering algorithms to provide two or more groups of digital objects, and providing an affinity diagram including the two or more groups of diagrams, the affinity diagram being displayed as digital representations of the physical media, the digital representations being grouped in the two or more groups.

Abstract: According to one embodiment, a customer relationship management (CRM) system is queried to obtain a project that is associated with an entity (e.g., a user, a group of users, a client). A first list of one or more contacts (e.g., contact persons, referred to herein target contacts) associated with the project from the CRM system. For each of the contacts in the first list, a domain name is determined based on contact information of the contacts (e.g., emails, Web addresses, name of an account associated with the contacts). A first set of email addresses, referred to as target email addresses, is determined based on the domain name and contacts using a set of email identification rules. An email server is queried to retrieve a list of one or more emails and/or calendar events based on the first set of email addresses.

Abstract: Systems, methods, and computer-readable media for customizing chart generation based on table data selection are disclosed. The systems and methods may involve at least one processor that is configured to maintain at least one table containing rows, receive a first selection of at least one cell in the at least one table, generate a graphical representation associated with the first selection of at least one other cell, generate a first selection-dependent link between the at least one table and the graphical representation, receive a second selection of at least one cell in the at least one table, alter the graphical representation based on the second selection, and generate a second selection-dependent link between the at least one table and the graphical representation.

Abstract: A method for conducting an automated interview session between a candidate and an automated chat resource includes analyzing a candidate resume to identify a first personality trait; generating a first resume-based question based on the first personality trait; presenting, by the automated chat resource, the first resume-based question to the candidate during the automated interview session based on the identified first personality trait; generating a first trait score based on a first response received from the candidate, wherein the first trait score is indicative of a relevance of the identified first personality trait; generating a first question-answer score based on the first resume-based question and the first response, wherein the first question-answer score is indicative of a first question-answer relevance and is used to determine whether to present a second resume-based question to the candidate; analyzing a communication transcript to identify a second personality trait; generating a first transcr

Abstract: A method of task management executes at a computing device having one or more processors and memory. The memory stores one or more programs configured for execution by the one or more processors. There is received a description of a task associated with a user. Upon receipt of the description of the task, one or more entities associated with the task are identified using at least the description of the task and geographic information about the user. Information is identified for performing the task with the at least one respective entity in the one or more entities based upon an identity of the entity. This identified information for performing the task is then formatted for use by the user.

Abstract: Methods and systems for damage assessment and restoration. One system includes an electronic processor configured to receive weather data for an area of interest. The electronic processor is also configured to determine a first damage prediction for the area of interest using a damage prediction model developed with machine learning using training data, the training data including historical weather data for the area of interest and associated damage. The electronic processor is also configured to determine a restoration time estimate based on the first damage prediction for the area of interest based on different resource allocations. The electronic processor is also configured to transmit a damage assessment report for display on a user device, where the damage assessment report includes the restoration time estimate.

Abstract: The present disclosure is related to a biological recognition technology-based mobile payment device, method and apparatus, and a storage medium. The method includes receiving, by a payment Trusted Application (TA) that operates in a Trusted Execution Environment (TEE) on a device, a call request from one of a plurality of third party payment applications that are installed on the device and operate with the payment TA, determining content to be encrypted and an encryption parameter for performing encryption based on the call request, acquiring a result of biometric recognition from a biometric recognition application, encrypting the content according to the encryption parameter and the result of biometric recognition and returning the encrypted content to the third party payment application that generates the call request, for the third party payment application to perform a pay tent-related operation based on the encrypted content.

Abstract: An example method of operation may include one or more of identifying a number of share chains from a smart contract stored in a blockchain, identifying a contributed block received from a miner entity associated with one of the share chains, determining whether the contributed block is valid for the one share chain, and updating the one share chain based on the contributed block.

Abstract: A method for selling a cryptocurrency via a consumer-operated kiosk is provided. In some embodiments, the method: displays to a user, via a user interface, one or more options to purchase one or more cryptocurrencies; receives from the user, via the user interface, a selection of one of the cryptocurrencies; obtains a cryptocurrency exchange rate from a cryptocurrency exchange; presents the exchange rate to the user via the user interface; receives from the user payment for the selected cryptocurrency via a bill acceptor; purchases the selected cryptocurrency from the cryptocurrency exchange in an amount based on a value of the received payment and the exchange rate; and displays to the user, via the user interface, a receipt having a redemption code and a personal identification number (PIN), wherein both the redemption code and the PIN are necessary to obtain the selected cryptocurrency.

Abstract: Systems and methods are provided for facilitating network transactions through a virtual terminal assigned to a property. An exemplary method includes assigning, by a computing device, a virtual terminal to a property where the property is associated with a user and activating, by the computing device, the virtual terminal for an account associated with the user. The method also includes soliciting, by the computing device, transaction details from an initiating user, for a network transaction between an account associated with the initiating user and the account of the user, through the virtual terminal in an augmented reality environment when the initiating user is present at the property. The method additionally includes initiating the network transaction based on the transaction details received from the initiating user and the account associated with the user.

Abstract: A system to allocate resources via information technology infrastructure is described. A server includes processors to provide to a plurality of devices, an electronic benefits account transaction application programming interface (“API”) configured to receive transaction requests from a plurality of heterogeneous electronic funding sources. The server can receive a request to initiate a single transaction to fund an electronics benefit account. The server can transmit data in an alert format indicating a denial of the single request responsive to a comparison of a value to one or more threshold limits.

Abstract: The present disclosure involves systems, software, and computer-implemented methods for integrating immediate credit application processes and decisions via a financial institution into ongoing transactions performed at a merchant system. One example method includes receiving a request for new credit account associated with an ongoing transaction at a second system, the request associated with a transaction payload including a session ID and a set of transaction information. A digital credit application is presented, and at least some of the set of transaction information is presented concurrently with the digital credit application. In response to approving the credit application, a new account is generated, a user is redirected back to the merchant system using the session ID, and the credit account information is securely transmitted back to the merchant. The state of the ongoing transaction is restored, and the new payment information is used to complete the transaction.