Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating structured data using data received from unstructured textual data sources. One of the methods includes receiving unstructured textual data, identifying one or more keywords in the unstructured textual data, determining one or more patterns included in the unstructured textual data using the identified keywords, identifying one or more intelligence types that correspond with the unstructured textual data using the determined patterns, and associating, for each of the identified intelligence types, a data subset from the unstructured textual data with the respective intelligence type.

Abstract: A device receives and stores location data and cargo transportation data. The cargo transportation data is received from a first system of a carrier and one or more other systems of partner carriers. The device receives, from the first system, a transportation availability request that is to be used to schedule transportation of cargo. The device generates and provides the first system with a recommendation that specifies recommended routes that may be used to assist in transporting the cargo. The device receives, from the first system, a booking request that identifies a selected route that vehicles are to use to transport the cargo, and provides the booking request to one or more other systems. The device receives a booking response from a second system of a partner carrier and provides the first system with an indication of whether the partner carrier has provided confirmation of assistance in transporting the cargo.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling access to physical areas. One of the methods includes receiving, from at least one of one or more sensors, data identifying a vehicle at a border crossing station, determining current weather conditions for the border crossing station, evaluating whether the current weather conditions are favorable to inspection of the vehicle by a mobile camera, determining that the current weather conditions are favorable to inspection of the vehicle by a mobile camera, and in response to the determination that the current weather conditions are favorable to inspection of the vehicle by a mobile camera, providing at least one of one or more mobile cameras with instructions to cause each of the at least one of the mobile cameras to inspect the vehicle.

Abstract: A device receives a knowledge graph and an ontology for the knowledge graph, and receives a query for information associated with the knowledge graph. The device generates candidate responses to the query, and assigns scores to the candidate responses based on the knowledge graph. The device identifies a particular candidate response, of the candidate responses, based on the scores for the candidate responses, and determines, based on the knowledge graph, a neighborhood of the particular candidate response. The device generates knowledge graph embeddings for the neighborhood of the particular candidate response, and determines a particular neighborhood, with a smallest loss of quality, based on the knowledge graph embeddings. The device generates a reasoning graph based on the ontology and the particular neighborhood, and generates an explanation of the particular candidate response based on the reasoning graph. The device performs an action based the explanation of the particular candidate response.

Abstract: A system and method for extracting structured information from an implicit table is disclosed. The system and method provide a way to locate and categorize structured information from an implicit table. More specifically, the system and method provide a way of determining which part of an input image document includes a dominant table and which parts of the dominant table make up rows and columns. These details give meaning to the structured information of the implicit table. These details can be used to properly place the structured information from the implicit table into a two-dimensional data structure, such as a data structure in a relational database. In other words, the structured information from a scanned or digital Portable Document Format (PDF) document can be extracted and placed into a useful format, such as a relational database.

Abstract: A device may receive operational data associated with software provided by an enterprise resource planning (ERP) platform, and may receive customization tables associated with the software provided by the ERP platform. The device may receive configuration data associated with the software provided by the ERP platform, and may receive test result data associated with the software provided by the ERP platform. The device may process the operational data, based on the configuration data, to identify a set of tasks, from tasks performed by the software, that have been configured, and may determine a plurality of links between the set of tasks and a plurality of customization tables, of the customization tables, based on the test result data. The device may perform one or more actions based on the operational data, the plurality of customization tables, the configuration data, and the plurality of links.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating user interface control images for robotic automation. One of the methods includes detecting, during a training process, a control selection event; retrieving a first image and a second image; determining a difference image that represents a difference between the first image and the second image; determining, using the difference image, a plurality of colors for pixels included in the difference image that are likely located outside of a control location for the control; determining one or more shapes depicted in the difference image that each have a color other than all of the colors in the plurality of colors; selecting, from the one or more shapes and using an event location, a particular shape as likely representing the control; and storing a cropped image of the control extracted from one of the two or more images.

Abstract: A system may receive events derived from historical sensor data. The system may generate repeat event records based on the events. The system may cluster the repeat event records into repeat event clusters. The system may determine filter ranges for the repeat event clusters. The system may generate a binarization filter comprising instructions to generate a binary sequence indicative of at least one of the filter ranges. The system may execute the binarization filter to generate binary sequences corresponding to the repeat event records, respectively. The system may train a prediction model based on the binary sequences. The system may deploy the binarization filter and the prediction model to a real-time platform.

Abstract: System and methods for cryptologic digital twin segregation with blockchain for development operations are provided. By way of introductory example, a system may receive a first development object from a first devops tool and a second development object from a second devops tool. The system may identify, in a segregation model graph, a first node and a second node, the first node corresponding to the first development object and the second node corresponding to the second development object. The system may determine the first node is mapped to an off-chain storage classification and the second node is mapped to an on-chain storage classification. The system may store the first development object in an off-chain storage, generate a hash value of the first development object, and store the hash value of the first development object on a blockchain. The system may store the second development object on the blockchain.

Abstract: A systems implements a gradient descent calculation, regression calculation, or other machine learning calculation on a dataset (e.g., a global dataset) using a coordination node including coordination circuitry that coordinates multiple worker nodes to create a distributed calculation architecture. In some cases, the worker nodes each hold a portion of the dataset and operate on their respective portion. In some cases, the gradient descent calculation, regression calculation, or other machine learning calculation is used to implement a targeted maximum likelihood scheme for causal inference estimation. The targeted maximum likelihood scheme may be used to conduct causal analysis of the observational data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking objects over a sequence of images. In one aspect, a process includes receiving data specifying visual attributes of a particular object detected in an image. Data specifying visual attributes of a tracked object is identified. A level of similarity is determined between the particular object and the tracked object based on comparison of visual attributes of the particular object with corresponding visual attributes of the tracked object. A first normalization function is used to normalize a level of similarity between first corresponding visual attributes of the particular object and the tracked object. A second normalization function is used to normalize a level of similarity between second corresponding visual attributes of the particular object and the tracked object. A determination is made, based on the level of similarity, whether the particular object matches the tracked object.

Abstract: A multi-layer rate sizing stack may generate prescriptive operation-rate tokens for controlling sizing adjustments for operation-rates. The input layer of the rate sizing stack may generate operation pattern data based on operation-rate data received via network connection. A prescriptive engine layer may determine a prescriptive allowed operation-rate based on the operation pattern data. Based on the prescriptive allowed operation-rate, the prescriptive engine layer may generate the operation-rate tokens that that may be used to control rate sizing adjustments prescriptively.

Abstract: A system provides feedback driven end-to-end state control of a data model. A data model may be used to model the behavior of a monitored system to predict future events. The system may be used to ensure proper operation of the data model. Contingency data models may be executed when a failure is detected. Further, when the system detects accuracy that is out of tolerance, the system may initiate retraining of the data model being currently used.

Abstract: A self-learning system for analytical attribute and clustering segmentation may be provided. A text classifier may identify a log description of a log entry in response to text of the log description being associated with indicators of a word model. A datafield classifier may generate a datafield metrics including an accuracy value of the attribute identifiers representing the datafield. A metafield classifier may generate a context metrics for the context of the log entry, the context metrics including an accuracy value of the attribute identifiers representing the metafields. A combination classifier may form a weighted classification set and select an attribute identifier as being representative of the datafield based on the weighted classification set. The combination classifier may further evaluate an attribute importance value of each attribute identifier, and select an attribute identifier having a top attribute importance value.

Abstract: A master oracle may receive an oracle network identifier for an oracle network. The master oracle may receive a plurality of data messages respectively generated by the oracles. The master oracle may verify, based on respective public keys for the oracles, that each of the data messages are digitally signed by a different corresponding one of the oracles. The master oracle may aggregate the data messages into an aggregated data message. The master oracle may digitally sign the aggregated data message with a private key and public key pair. The master oracle may transmit the aggregated data message to a participant node of a distributed ledger network. A smart contract stored on a blockchain may verify the aggregated data. After receiving and verifying the aggregated data message the smart contract may execute to perform operations based on the aggregated data message.

Abstract: An accident detection system for providing movement data for processing using a ML model executed on a mobile device, the movement data being generated by the mobile device, receiving, from the ML model, a first prediction representative of an occurrence of a first accident, in response to receiving the first prediction, providing a first local alert on the mobile device, and selecting one of a first network and a second network for broadcasting a first remote alert to one or more end-points, if the first network is selected, the first remote alert is broadcast over the first network by the mobile device, and, if the second network is selected, the first remote alert is broadcast over the second network by an alerting module that is in communication with the mobile device.

Abstract: Methods and systems including computer programs encoded on a computer storage medium, for receiving a request for digital content to be provided from a plurality of items of digital content, determining a set of content scores for each item of digital content in the plurality of items of digital content, each content score in the set of content scores being specific to a user of the plurality of users, and a respective item of digital content, calculating a combined score deviation for each item of digital content based on a difference between a minimum content score and a maximum content score of the set of content scores of a respective item of digital content, determining at least one candidate item of digital content, the at least one candidate item of digital content having a lowest combined score deviation among combined score deviations of the plurality of items of digital content, and providing the at least one candidate item of digital content.

Abstract: A computer system may access an attributization rule and convert, based on the attributization rule, profile data into attributes for a robust recipient profile. The system may identify, based on tag logic, tags that are associated with the attributes. The tag logic may include instructions to compare the attributes with predetermined attributes associated with the tags. The system may map the identified tags to the recipient identifier. The system may perform communication with a mobile device based on the robust recipient profile and a real-time location of the mobile device. To perform the communication, the system may monitor the plurality of data channels for data comprising real-time location information for the mobile device. The system may determine the mobile device is proximate to a physical object that is associated with the tag and the system may transmit offer information to the mobile device.

Abstract: Embodiments of the present disclosure leverage distributed ledger technologies to exert user-centric control over data shared with third party service providers. User access provider (UAP) devices manage user-configured permissions and metadata that control access to user data by the third party service providers. Permissions may enable service providers to access, write, and share user data with other service providers having appropriate permissions. Users may provide data to various service providers as they interact with services supported by the platform and as the data is received it may be validated and then stored on the distributed ledger. Data may be periodically synchronized across different service provider nodes responsible for maintaining the distributed ledger to ensure consistency with respect to each user's data.

Abstract: A user device may receive, an output stream associated with an application session, wherein the output stream is associated with imperceptible content via an output component. The user device may transmit, via a short range wireless communication component, an advertisement associated with the application session. The user device may configure a main processing thread that is associated with executing the application session to provide the output stream to the output component. The main processing thread may be configured to provide the output stream to: cause the output component to operate in association with the imperceptible content and prevent an operating system from suspending the application session while the application session is executing in a background state.