Abstract: A multi-layer resource control stack based system may generate an availability indication for multiple domains supported by the resource control stack and send the indication to a client node. The client node may respond with a selection of a domain. The client node may also indicate a compute resource to be managed by the resource control stack. In response to the selection from the client node, the resource control stack may initiate a virtual representation of the domain. The client node may interact with the virtual representation to receive recommendations, utilization data, and control information relevant to the compute resource and within a subject area associated with the domain.

Abstract: A computer system constructs a decision-predictive recipient profile using sensatory data tied to an online profile of a recipient. After obtaining base sensatory data tied to the online profile of the recipient, the system may filter the base sensatory data by searching the base sensatory data for one or more machine-cognizable characteristics. The filtered sensatory data may be provided to an execution group, which may review displays of the sensatory data. Responsive to the displays of the sensatory data, the execution group may generate descriptors of the content of the filtered sensatory data and send the descriptors to the system. The system may process the descriptors to generate or augment the decision-predictive recipient profile.

Abstract: A system and method for coupling two separate applications to an application session within a serverless infrastructure is disclosed. For example, the system and method may couple one or more applications to one or more devices, such as Internet of Things devices, within a serverless infrastructure. Embodiments provide a method and system that have the technological advantage of increased processing speed and reduced costs.

Abstract: A device may receive a feature submission identifying a candidate feature for a software application. The device may pre-process the feature submission to reformat data associated with the candidate feature to match a data format associated with stored information regarding past feature submissions. The device may perform natural language processing on the data associated with the candidate feature to determine a semantic meaning of the candidate feature. The device may compare the semantic meaning of the candidate feature with an index of past feature submissions. The device may provide a response indicating whether the candidate feature matches the past feature submissions wherein the response comprises an indication that the candidate feature does not match any past feature submission or information identifying one or more past feature submissions associated with a threshold semantic similarity to the candidate feature.

Abstract: A reference data tool helps meet the technical challenges associated with providing important data to an application that needs the data. The tool causes execution of custom reports on an external data platform that extract the data needed by the application from the external data platform. The tool creates a custom data store for the data in a location accessible to the application. After the tool receives the extracted data, the tool automatically writes the data into the proper location in the custom data store.

Abstract: A system includes circuitry for cryptographic data share controls for distributed ledger technology based data constructs. The system may support placement of compute data on to a distributed ledger technology based data construct. The compute data may have multiple layers of encryption to support permissions and coordination of processing operations for application to the compute data. The multiple layers of encryption may include a homomorphic layer to allow sharing of the compute data for processing by a compute party without divulging the content of the compute data with the compute party. While in the homomorphically encrypted form, the homomorphic compute data supports the application of processing operations while maintaining the secrecy of the underlying data.

Abstract: Implementations for optical character recognition of a language script can include actions of receiving an image comprising a graphical representation of a word written in the language script, segmenting the word into two or more segments, each segment being determined based on one or more of a variation in a height of the word and a variation in a width of the word, and including at least one character, providing a boundary for each segment of the two or more segments, the boundary enclosing the at least one character of a respective segment, each boundary having an edge with respect to an axis of the image, normalizing boundaries of the two or more segments by aligning edges of the boundaries, and labeling each segment of the two or more segments with a respective label, the respective label indicating a language character within the respective boundary.

Abstract: A system may support distributed multiple tier multi-node serverless analytics task execution. At a data ingestion tier, data ingestion serverless tasks may receive detail data for analytic processing. data integration serverless tasks, executing at a data integration and consolidation tier and initiated by the data ingestion serverless tasks, may sort the detail data and identify patterns within the detail data to generate grouped pre-processed data. The data integration serverless tasks may initiate partitioning serverless tasks which may divide the grouped pre-processed data into data chunks. Multi-node analytic serverless tasks at an analytic tier, at least some of which being initiated by the partitioning serverless tasks, may analyze the data chunks and generate prescriptive outputs.

Abstract: A system includes profile control circuitry that may receive a sovereign onboarding command. The sovereign onboarding command may be issued on behalf of a sovereign associated with a profile. The sovereign onboarding command may update a status value in the profile. The profile may be recorded on a data-tamper-protected distributed ledger. Arbitration circuitry may review the recorded profile status value and ensure that status values are enforced against the sovereign during exchanges.

Abstract: This document describes systems, methods, devices, and other techniques for managing healthcare records. In some implementations, a computing system is provided that includes an electronic ledger, a first program module, and a second program module. The electronic ledger can store entries of medical record management events invoked by participants in a distributed computing network. The first program module can be assigned to an account of a first user on the distributed computing network and can identify (i) medical records of the first user and (ii) accounts of users other than the first user that are authorized to access the medical records of the first user. The second program module can be assigned to an account of a second user on the distributed computing network and can call the first program module to request access to a set of one or more of the medical records of the first user.

Abstract: A library may include serverless artifacts that support execution of respective serverless functions. For each of the artifacts, a build parameter may have a library artifact identifier, a respective execution environment specifier, and a respective component specifier. An infrastructure realization knowledge base may define an environment mapping for each of the serverless artifacts. A build execution engine may create a build script that can be executed on a serverless artifact build infrastructure. To implement the build script the build script may be transmitted over a build communication channel to a cloud based serverless infrastructure provider.

Abstract: A system includes circuitry for rewriting blockchains in a non-tamper-evident or tamper-evident operation using a key secret held in portions by multiple individually untrusted parties. The blockchains may include a series of blocks secured by integrity codes that may prevent non-tamper-evident rewrites by non-trusted parties that are not in possession of the key secret or individually-untrusted parties in possession of only a portion of the key secret. In some cases, multiple individually-untrusted parties may combine their portions into the key secret. As a group, the multiple individually-untrusted parties may perform non-tamper-evident operation with respect to at least one integrity code within the blockchain.

Abstract: A device may receive one or more images captured by an image capture system. The one or more images may depict one or more objects. The device may process the one or more images using one or more image processing techniques. The device may identify the one or more objects based on processing the one or more images. The device may identify a context of the one or more images based on the one or more objects depicted in the one or more images. The device may determine whether the one or more objects contribute to a value of one or more metrics associated with the context. The device may perform an action based on the value of the one or more metrics.

Abstract: A system for elastic volume type selection and optimization is provided. The system may detect that a block storage volume was provisioned by a public cloud computing platform based on a first volume type identifier of a first volume type. The system may determine, based on a normalization model, a baseline operation rate and a baseline throughput rate for the provisioned block storage volume. The system may determine, based on a selected transition mode and historical performance measurements, a simulated operation rate and a simulated throughput rate. The system may communicate, in response to the simulated throughput being greater than the baseline throughput rate or the simulated operation rate being greater than the baseline operation rate, a provisioning instruction to re-provision the provisioned block storage volume on the cloud computing platform.

Abstract: Methods, systems, and apparatus for performing virtual reality simulations using virtual reality systems. In some aspects a method includes the actions of logging user actions in a virtual reality system, wherein the user actions include one or more of (i) a path traveled by user in the virtual reality system, or (ii) user interactions with objects in the virtual reality system; aggregating logged action over a first user and a second user; and deriving modifications to the virtual reality system based at least in part on the aggregated logged actions. The modifications to the VR system can include modifying at least one of (i) appearance of objects shown in the VR system, (ii) floor plan of the VR system, and (iii) location of objects shown in the VR system.

Abstract: A system access a session profile. The session profile may include log source identifiers and model identifiers. The system may deploy a log projection session based on the session profile. The system may receive, in response to deployment of the log projection session, a log stream from a log source corresponding to at least one of the log identifiers. The system may generate a log projection stream based on the log stream and an initial machine-learning model. The system may calibrate the session profile and select an alternative machine-learning model based on model performance metrics. The system may redeploy the log projection session based on the calibrated session profile. The system may automatically scale computer resources for improved job performance based on forecasted log information derived from the selected machine-learning model.

Abstract: A device may process text included in an electronic issue ticket to identify a set of terms or a pattern of terms included in the text. The electronic issue ticket may be related to an issue associated with a computing device. The device may classify the electronic issue ticket into an issue category of a set of issue categories. The set of issue categories may be related to various issues associated with various computing devices. The device may monitor a counter for a set of thresholds associated with the issue category. The device may detect a possible underlying problem among the various computing devices. The device may generate an electronic problem ticket for the possible underlying problem. The device may append the electronic problem ticket with information related to the electronic issue ticket or one or more other electronic issue tickets. The device may perform one or more actions.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for provisioning an analytics platform. The methods, systems, and apparatus include actions of obtaining a manifest for a platform to be deployed where the manifest specifies machines and tools to deploy on the machines, determining an order to deploy the tools on the machines based on the manifest, selecting, based on the manifest file, tool deployers that are configured to deploy particular tools on machines from among multiple tool deployers, and deploying the tools on the machines with the tool deployers that are selected and in accordance with the order that is determined.

Abstract: A system supports authorization and custody tracking for physical concessions. In some cases, a physical concession or other physical object may be tracked to ensure that custodians that gain possession of the physical concession have proper authorization. Further, custody tracking may ensure that a particular custodian is issued the authorized amount of physical concession(s). Authorization circuitry may, via a peer network, access proof of authorization and custody status stored on a blockchain. Based on the proof of authorization and custody status, the authorization circuitry may determine whether issuance of the physical concession to a receiving custodian is allowed. After allowing/disallowing issuance of the physical concession, tracking circuitry may send, via the peer network, a request to update the blockchain.

Abstract: A system may receive, from multiple data providers or multiple platforms, data associated with content, a content provider that provides the content, and multiple channels via which the content is provided or consumed. The data may include first data, received from a first data provider or a first platform, that is associated with a different file type than second data received from a second data provider or a second platform. The system may include a data model associated with the first data and the second data. The system may aggregate the data from the multiple data providers or the multiple platforms. The system may identify a relationship between the first data and the second data. The first data and the second data may be different types of data. The system may perform an action based on the relationship between the first data and the second data.