Abstract: A system supports symmetric release of cryptologically-locked asset transactions. A leading exchange party and a reciprocal exchange party establish, at least in part, a peer challenge in a pre-exchange proposal. The reciprocal party uses the peer challenge to lock a cryptologically-locked asset transaction. The solution to the peer challenge corresponds to an exchange key controlled by the leading exchange party. The cryptologically-locked asset transaction call for solution of the peer challenge and signature of the transaction by exchange logic as conditions of release of the cryptologically-locked asset transaction. The exchange logic may execute a symmetric release of the exchange key and/or signature to the reciprocal exchange party and cryptologically-locked asset transaction (such that the asset is transferred to the leading exchange party).

Abstract: The disclosure relates to a system, computer readable medium, and method for automated data verification. The disclosure provides highly automated, customizable ways of verifying the integrity of large sets of data to ensure that data migration has occurred correctly. Namely, source data is converted into spreadsheet files using a customizable set of field definitions and then filtered to identify corresponding sets of data to be verified. Once filtered, the data in the spreadsheets are converted in hashmaps, which can easily and efficiently be compared to each other to find any inconsistencies in the data. Accordingly, as a result of this process, large sets of source data can be error checked in an efficient manner that saves computing processing power and time. This disclosure therefore addresses the problem of how to perform comparisons of various data across multiple source systems in large volumes.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing performance engineering are disclosed. In one aspect, a method includes the actions of providing, to a cloud computing system that is configured to implement multiple different types of virtual computing nodes, an instruction to execute an application on a virtual computing node that is a first type of virtual computing node of the multiple different types of virtual computing nodes. The actions further include determining computing performance parameters of the virtual computing node. The actions further include determining to execute the application on both the virtual computing node and an additional virtual computing node. The actions further include selecting, from among the multiple different types of virtual computing nodes, a second type of virtual computing node.

Abstract: In some implementations, messaging services, through which messages from an entity, such as a company, are communicated to various users, are managed. In one aspect, the techniques described may be provided by a messaging management service that keeps track of such messaging services and provides messages to users through these messaging services on behalf of various companies. In this way, the messaging management service may enable companies to quickly establish a presence on new communication platforms and more easily communicate through the mobile communication and social networking services that are most suitable to their existing and potential customers.

Abstract: A call center system for reducing communication latency includes an input/output (I/O) interface for receiving one or more queries from a customer terminal; a processor in communication with the I/O interface; and non-transitory computer readable media in communication with the processor that stores instruction code. The instruction code is executed by the processor and causes the processor to route the one or more queries to a plurality of artificial intelligent (AI) logic modules and receive, from one or more of the AI logic modules, information that facilitates providing, by a call center agent, responses to the one or more queries. The processor also routes actual responses to the one or more queries made by the call center agent to the AI logic modules; and receives from at least one AI logic module one or more scores associated with one or more metrics that rate different aspects if the actual responses.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a virtual consultant. The methods, systems, and apparatus include actions of obtaining a set of training data that indicates raw topics that are indicative of the set of topics, training a model to identify raw topics relevant to a set of topics, the set of topics associated with one or more digital documents, identifying, within at least one of the digital documents and with the model, raw topics that correspond to the set of topics, determining, for each identified raw topic, a frequency that the raw topic appears in the digital document, determining, for each of the identified raw topics, a topic that corresponds to the raw topic, determining, for each of the topics of the set of topics, a topic score, and providing an indication of the topic scores for the digital document.

Abstract: In some implementations, a device may receive a two-dimensional layout of an area to be captured by a scanner and scanner parameters associated with the scanner. The device may calculate a reduced field of view for the scanner based on the scanner parameters. The device may calculate, based on the two-dimensional layout and the reduced field of view, a point cloud capture plan identifying a minimum quantity of locations in the area at which to position the scanner to capture all of the area. The device may modify the point cloud capture plan, based on obstructions identified in the two-dimensional layout and based on the reduced field of view, to generate a modified point cloud capture plan, and may optimize the modified point cloud capture plan to generate a final point cloud capture plan. The device may perform one or more actions based on the final point cloud capture plan.

Abstract: This document describes a computing architecture that enables users to develop applications using building blocks that include micro frontends. In one aspect, a method includes providing a configuration user interface that enables a user to select and arrange building block user interface elements in a layout for a page. Data specifying a layout of one or more building block user interface elements that each include a micro frontend and corresponding backend logic is received from the configuration user interface. Each micro frontend includes one or more user interface components and a store that manages a model that represents a state of the one or more user interface components of the micro frontend. The corresponding backend for each micro frontend includes a function that updates the model of the micro frontend based on a previous model of the micro frontend and an action. User interface data is generated.

Abstract: Implementations of the present disclosure are directed to dispensing beverages from a beverage dispensing machine and include determining, from computer-readable media, pour parameters for a beverage of a plurality of beverages, the pour parameters being specific to the beverage, at least one pour parameter including a tilt value, and automatically, by the beverage dispensing machine: rotating a drum that holds a vessel to achieve the tilt value, initiating dispensing of the beverage into the vessel from a tap, automatically rotating the drum to reduce the tilt value of the vessel during dispensing of the beverage, and ceasing dispensing of the beverage into the vessel from the tap, the tilt value being substantially zero upon ceasing.

Abstract: A benefit prediction requirement may be received and associated benefit data from a plurality of sources may be obtained. The benefit prediction requirement may be associated with determining a probability of a benefit being surrendered by a benefit user. Further, a plurality of benefit attributes may be identified and mapped with benefit user data to create a benefit surrender database. From the benefit surrender database, a survival probability and a hazard probability may be determined and benefit assessment data may be created therefrom. Based on the benefit assessment data, a benefit surrender prediction model including a surrender probability may be created and a surrender pattern of the benefit user may be determined. Furthermore, a benefit surrender result may be generated and a remedial action in response to the benefit prediction requirement may be performed.

Abstract: A system includes a multi-layer block storage volume optimization (BSO) stack to generate a BSO token containing prescriptions to optimize block storage volume. The system may receive account information of storage accounts associated with block storage volumes; obtain respective storage regions and respective data redundancy types of the first storage account and the second storage account from the first account information; and generate the BSO token to include instructions to merge the storage accounts according to the respective storage regions and the respective data redundancy types.

Abstract: A distributed data storage layer supports biometric identification systems. The biometric identity system includes hardware and software improvements for capturing, retrieving, and verifying identity based on securely stored biometric data in the distributed data storage layer. As a result, the biometric identity system provides increased individual security and reliable identification.

Abstract: Graph database analysis for network anomaly detection systems, in which a data analysis device receives multiple log data entries including parameters associated with a computer network event in a computing network. The data analysis device extracts one or more parameters in real-time and generates a network event graph based on at least one of a first graph metric or a second graph metric. The first and second graph metrics are based on the one or more extracted parameters. The data analysis device detects, based on queries performed on the network event graph, at least one of an anomalous event associated with the computing network or a malicious event associated with the computing network.

Abstract: A device may receive a user-specified query, and may construct the user-specified query as a query tree of operators that include zero or more operands. The device may produce, for each of the operators, a weight that indicates how valuable or confident a determination of relevancy of each of the operators is in relation to siblings in the query tree. The device may normalize the weights for the siblings in the query tree with a parent operator according to a normalization formula. The device may produce, for each of the operators, a score, normalized to a value from zero to one and computed for the document, that represents how relevant the document is to the user-specified query. The device may apply the query tree to the document as a whole as well as to positions within the document to determine the final normalized score for the document.

Abstract: Embodiments of the present disclosure provide systems, methods, and computer-readable storage media that leverage artificial intelligence and machine learning to identify, diagnose, and mitigate occurrences of network faults or incidents within a network. Historical network incidents may be used to generate a model that may be used to evaluate real-time occurring network incidents, such as to identify a cause of the network incident. Clustering algorithms may be used to identify portions of the model that share similarities with a network incident and then actions taken to resolve similar network incidents in the past may be identified and proposed as candidate actions that may be executed to resolve the cause of the network incident. Execution of the candidate actions may be performed under control of a user or automatically based on execution criteria and the configuration of the fault mitigation system.

Abstract: Techniques are described for capturing an image of a physical object, and presenting the image in an augmented reality (AR) user interface (UI) with an overlay that includes context information regarding physical object in the image. An application running on a portable computing device receives an object image captured using the device camera. The application, and/or a remote service, analyzes the image to identify the object. Context data describing the object is determined and presented through the application's AR UI. The AR UI can also provide a real time communication session in which the user interacts with a service representative or bot to discuss a loan to purchase the object. Implementations also provide points to the user for taking out a loan to purchase a product, such points redeemable for discounts on future purchases. Point data for the user can be stored on a distributed ledger network.

Abstract: A device trains a machine learning model with historical productivity data and skills data to generate a trained machine learning model that determines allocations of tasks to workers. The device receives new task data identifying new tasks to allocate to the workers and performs natural language processing on the new task data to convert the new task data to processed new task data. The device receives, from sensors associated with the workers, real-time productivity data identifying productivity of the workers in completing current tasks assigned to the workers. The device processes the processed new task data and the real-time productivity data, with the trained machine learning model, to determine allocations of the new tasks to the workers, and causes the new tasks to be allocated to the workers by one or more devices and based on the determined allocations of the new tasks.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using location data to identify and provide services in association with items appearing in captured images. One of the methods includes receiving, from a device, an image and location data representing the device's physical location, determining, based on the location data, that a particular set of one or more locations are within a threshold distance of the device's physical location, accessing, for each of the one or more locations in the particular set, item information that indicates one or more items that are associated with the location, determining, based on the accessed item information, that the image likely shows a particular item that is associated with one or more locations in the particular set, and providing, to the device, instructions for presentation of information about (i) the particular item and (ii) one or more locations in the particular set that are associated with the particular item.

Abstract: A system and method for training a virtual agent to identify a user's intent from a conversation is disclosed. The system and method use an iterative process of clustering multiple conversations (converted into feature representations) used for training a machine learning model into labeled clusters having similar user intents. Clustering enables labeling a large number of training conversations efficiently. The labeled clusters may be used to train a virtual agent to classify the conversational intent of a conversation. Then, the machine learning model can classify future conversations based on similarity to labeled clusters. By knowing a human user's intent, a virtual agent can deliver what the user desires.

Abstract: A blast plan control system and method used to control a drill and blast event is disclosed. The system and method customizes results for specific conditions. The system can receive certain inputs, such as conditions of the area to be blasted and the desired rock fragment size, and use these inputs to output a plurality of blast plans characterized by a set of characteristics that achieve the desired fragmentation size. A user can select a blast plan for execution from the plurality of blast plans. When the control system receives a selected blast plan, the control system can generate a work order for the selected blast plan and communicate the work order to operators and/or drilling equipment associated with execution of the drill and blast event. The operators and/or drilling equipment can then prepare for and execute the selected blast plan.