Abstract: A system may include a client device. The client device may receive, from a set of vending devices and via a network connecting the set of vending devices with the client device, sensor data relating to a status of the set of vending devices. The client device may generate a user interface associated with providing information identifying the status of the set of vending devices. The client device may provide, for display, the user interface based on generating the user interface. The client device may detect, based on providing the user interface, a selection of an adjustment that is to be performed for a particular vending device of the set of vending devices. The client device may transmit, via the network, an instruction to the particular vending device to cause the adjustment to be performed for the particular vending device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for recognizing object sub-types in images. One of the methods includes receiving training data; selecting training data for an image; determining whether to randomly permute a value of a property of the selected image; providing, to a deep neural network, the particular training data or the randomly permuted particular training data; receiving, from the deep neural network, output data indicating a predicted label for an object sub-type for an object depicted in the selected image, and a confidence score that represents a likelihood that the object has the object sub-type; updating one or more weights in the deep neural network using an expected output value, the predicted label, and the confidence score; and providing the deep neural network to a mobile device for use detecting whether one or more images depict objects having the particular object sub-type.

Abstract: A device may receive a plurality of data objects from a plurality of sources; identify text data, image data, and location data of the plurality of data objects; identify relevant data objects, of the plurality of data objects, based on the text data, and/or based on the image data, based on the location data, and/or based on comparing the text data, the image data, and the location data to a predefined element that identifies values relevant to a particular group or subject area; assign scores to the relevant data objects based on the text data, the image data, and the location data; aggregate the scores, as one or more aggregated scores, with regard to one or more users associated with the relevant data objects; and/or perform one or more actions based on the one or more aggregated scores associated with the one or more users.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing threat intelligence information. One of the methods includes receiving by a threat information server, threat intelligence information from one or more intelligence feeds and generating one or more identified security threats, identifying a compromise by a management process orchestration server and retrieving information from the threat information server and identifying one or more actions to be performed, determining by an indicator analytics processor, a composite credibility based on the actions, and determining one or more components for profiling and determining indicators of compromise for each component, and communicating the indicators of compromise to the management process orchestration server.

Abstract: A system, method and article of manufacture are provided for a first business entity to provide a network-based supply chain framework for collaborative order management between at least a second and a third independent business entity, such as a service provider, vendor, reseller, manufacturer and the like. A request for an order is received over a network with an automated system, from at least a second business entity. The order is transmitted over a network, with an automated system, to at least the third business entity. Information is received from the third business entity relating to a status of completion of the order by the third business entity using a network. The progress in completing the order is tracked based on the information received from the third business entity. Progress reports from the tracking are generated periodically; and transmitted to the second business entity using the network.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining where to store a version of an object in an isolated environment. In one aspect, a method include actions of obtaining, from a process running in an isolated environment, a request to access an object and determining a frequency that changes to a version of the object stored in the isolated environment will be mapped back to a version of the object stored in the non-isolated environment. Additional actions include determining, based on the frequency that changes to a version of the object stored in the isolated environment are mapped back to a version of the object stored in the non-isolated environment, whether to store the version of the object in primary memory associated with the isolated environment or secondary memory associated with the isolated environment.

Abstract: An extensible key management system includes a developer services portal for accessing an application. The system may identify initiation via the developer services portal of an association of the application with an external API of a third party provider service and automatically obtain a sub-key for the external API from the third party provider service on behalf of a developer of the application. The sub-key may be obtained in accordance with authorization provided by a master key previously provided from the third party provider service. The system may map an association between the sub-key, the application and the external API and store the association. Upon receipt of a service call message resulting from a request from a user device executing the application, the system may identify and replace a developer API key included in the service call message with the sub-key based on the stored association.

Abstract: Computerized methods and systems, including computer programs encoded on a computer storage medium, may detect event shown within digital video content captured by one or more video cameras, and correlate these detected events to real-world conditions that may not be captured within the digital video data. For example, a computing system may detect events shown within digital video content captured by one or more video cameras, and may obtain data that identifies at least one external event. The computer system may establish a predictive model that correlates values of event parameters that characterize the detected and external events during a first time period, and may apply the predictive model to an event parameter that characterizes an additional event detected during a second time period. Based on an outcome of the predictive model, the computing system may determine an expected value of the external event parameter during the second time period.

Abstract: A system acquires geocoded data, smoothes the geocoded data, and displays the smoothed geocoded data in a graphical visualization representative of the physical locations of the acquired geocoded data. The system obtains an indication of operational parameters for smoothing geocoded data, such as a data precision level, viewing window, data characteristics, and smoothing parameters. The system generates an area map that includes entries for each location in the viewing window (or other predetermined area) according to the data precision level. The system may populate any entries without associated data values with a zero value. To process the geocoded data, the system may determine a vector of interest from the area map and generate, for example, a single smoothing matrix that smoothes each of the values in the vector of interest. The system applies the smoothing matrix to the vector of interest.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing orders. The methods include actions of receiving an order for an item to be fulfilled by the fulfillment center for a fulfillment time, obtaining a portion of stored historical preparation information that is relevant to fulfillment of the item by the fulfillment time, obtaining current order information that describes other orders to be fulfilled at the fulfillment center, determining to provide an alternate suggestion, identifying at least one of an alternate item, an alternate fulfillment center, or an alternate time to include in the alternate suggestion, generating the alternate suggestion based on the identification of at least one of the alternate item, the alternate fulfillment center, or the alternate time to include in the alternate suggestion, and providing the alternate suggestion to the user device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining network related anomaly scores. One of the methods includes generating a network map including at least a plurality of network nodes and a plurality of edges that indicate communications paths between the plurality of network nodes, obtaining first data indicating network activity over the edges and between the plurality of network nodes for a first time period, generating a model of expected network activity over the edges and between the plurality of network nodes for a future time period using the network map and the first data, obtaining second data indicating network activity over the edges and between the plurality of network nodes for a second time period, and determining an anomaly score using a comparison between the second data and the model of expected network activity.

Abstract: A device may receive text to be processed to prioritize text sections included in the text. The device may perform one or more prioritization techniques to prioritize the text sections. The one or more prioritization techniques may include at least one of: a semantic centrality analysis that indicates a degree to which a text section is semantically related to at least one other text section, an information content analysis that indicates a degree to which the text section includes information not included in the at least one other text section, or a combined analysis based on the semantic centrality analysis and the information content analysis. The device may prioritize the text sections, to form a set of prioritized text sections, based on performing the one or more prioritization techniques. The device may provide information that identifies the set of prioritized text sections.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described that receive, from a device, a request to obtain an amount of physical items from an account, the account defining a total quantity of the physical items able to be obtained from the account, and the account being maintained across multiple locations at which the physical items are stored. The request is transmitted to at least one computer that manages inventory of the physical items for at least one of the multiple locations. Inventory availability information is received from the at least one computer that manages inventory of the physical items, including information regarding availability of the amount of physical items, and availability of a combination of differently-sized subunits of physical items that satisfy the requested amount. The inventory availability information is then transmitted to the device.

Abstract: Computerized methods and systems, including computer programs encoded on a computer storage medium, may detect events shown within digital video content captured by one or more video cameras during a prior time period, and predict an occurrence of an additional event during a future time period based on time-varying patterns among the detected events. For example, a computing system may detect events shown within digital video content captured by one or more video cameras, and may establish a predictive model that identifies one or more time-varying patterns in event parameter values that characterize the detected events within the prior time period. Based on an outcome of the predictive model, the computing system may determine an expected value of one of the event parameters during the second time period.

Abstract: A system may provide hardware acceleration for blockchain-based record entry. Client circuitry may provide record entry information to node circuitry. The node circuitry may compile the record entry information into a record entry for submission to blockchain management circuitry (BMC). The BMC may access a consensus operating procedure. The BMC may apply the consensus operating procedure to the record entry to gain append permissions for a blockchain. After completing the consensus operating procedure, the BMC may append a block generated based on the record entry to the blockchain. Accordingly, the system may ensure that blocks added to the blockchain were generated in compliance with the consensus operating procedure.

Abstract: A device may receive a uniform resource identifier that identifies an object source. The object source may include one or more objects organized in a hierarchy of objects. The device may identify an object, of the one or more objects, to permit extraction of one or more properties of the object. The device may extract the one or more properties of the object based on identifying the object. The device may select a subset of properties, of the one or more properties, to use to generate an object locator based on extracting the one or more properties. The object locator may be associated with locating the object in the hierarchy of objects. The device may generate the object locator based on selecting the subset of properties of the object.

Abstract: Novel methods and systems are provided for integrating multi-vendor cloud computing operations and architectures by using service-oriented orchestration to create a vendor and platform agnostic cloud computing framework. This approach aggregates core cloud computing functions including service provisioning, automating work flows, and data and usage monitoring across integrated services, thereby improving a data centers ability to execute operations quickly, under standardized protocols and with consistent quality of service.

Abstract: A cloud services monitoring system (CSMS) helps a consumer of cloud computing resources determine the state of the cloud computing resources available to the consumer. The CSMS is particularly effective for cloud models where the consumer of the cloud computing resources is not the same as the provider of the cloud resource. The CSMS also provides mechanisms for adjusting operations actions to preserve service guarantees for the consumer. In that regard, the CSMS dynamically adjusts operations actions in response to the state of the cloud, rather than executing fixed predetermined operations actions that are not tailored to the monitored conditions.

Abstract: There has been exponential growth in the capture and retention of immense quantities of information in a globally distributed manner. A closed-loop unified metadata architecture includes a universal metadata repository and implements data quality and data lineage analyses. The architecture solves significant technical challenges to provide a meaningful, consistent and normalized view of the metadata that describes the information, as well as to determine data lineage and meaningful data quality metrics.

Abstract: A system for database management and presentation processing of a graphical user interface includes a network interface interfacing with multiple data sources comprising internal systems and external systems, one or more processors, and an application service integration and communication layer to receive data including a live data feed. A data storage device stores schemas of data structures, and the data structures may include tables based on types and fields. The application service integration and communication layer normalizes and formats the live data feed according to the predetermined schemas, and stores the normalized and formatted procurement data in the database. A graphical user interface of true conditions assigned to procurement data in the live data feed is displayed.