Abstract: A device may receive first information associated with an asset that is associated with a project. The device may determine a plurality of cost elements associated with the project based on the first information. The device may determine a plurality of sub-elements associated with the project based on the plurality of cost elements and the first information. The device may generate a plurality of hypotheses corresponding to the plurality of sub-elements. The device may receive second information associated with the hypotheses. The device may determine impact factors associated with the plurality of hypotheses based on the second information. The device may generate an estimate based on the impact factors. The device may determine a project execution date, associated with the project, based on the estimate. The device may cause an action to be performed in association with the asset based on the project execution date.

Abstract: A system includes one or more devices to receive a first set of data. The system transmits the first set of data to a first data store for storage. The first data store is of a first data format type. The system transmits the first set of data to a node of a plurality of nodes. The node to perform an action on the first set of data and a second set of data to generate a third set of data. The node to transmit the third set of data to a third data store. The third data store being of a third data format type that is different than the first data format type and the second data format type. The system transmits the third set of data from the third data store to the first data store for reporting.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for service oriented software-defined security framework are disclosed. In one aspect, a system includes a security control device, one or more assets, and a security controller that communicates with the security control device and the one or more assets. The security controller includes a processing engine configured to register the security control device by creating a physical-logical attribute mapping for the security control device, and generating a security service description associated with the security control device. The processing engine is further configured to register the one or more assets by creating a physical-logical attribute mapping for each of the one or more assets, and generating security service requirements for each of the one or more assets. The processing engine is further configured to generate a security service binding based on a request for service.

Abstract: A device may obtain first data regarding a set of events. The device may obtain second data regarding a user. The device may process the first data and the second data to identify one or more events, of the set of events, for participation by the user. The device may receive, via a user interface, a selection of a particular event of the one or more events. The device may receive, via the user interface, a set of prompts relating to participation in the particular event. The device may detect an interaction with the user interface associated with responding to the set of prompts. The device may provide information identifying the user based on the interaction with the user interface associated with responding to the set of prompts.

Abstract: A device may perform a first authentication operation, associated with a contactless media device, using a first key. The first key may permit a security mode of the contactless media device to be modified. The device may cause the contactless media device to set the security mode to a first security mode that causes the contactless media device to secure at least one transmission from the contactless media device. The device may perform a second authentication operation, associated with the contactless media device, using a second key that permits information to be read from or written to the contactless media device. The device may read first secured information from or write second secured information to the contactless media device. The first secured information or the second secured information may be secured based on the security mode of the contactless media device being set to the first security mode.

Abstract: A device may receive lifestyle information corresponding to an individual with a medical condition. The device may create a lifestyle timeline, associated with the individual, that includes a plurality of items of lifestyle information, included in the lifestyle information, arranged in a chronological order. The device may generate, based on the lifestyle timeline, a recommendation or a prediction associated with a metric related to the medical condition. The recommendation may be generated based on one or more of the plurality of items of lifestyle information. The prediction may be generated using a prediction model that uses one or more of the plurality of items of lifestyle information as input, and generates the prediction using the prediction model. The device may provide information associated with the recommendation or the prediction to identify a dosage associated with treating or managing the medical condition.

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: A device may receive video of a facility from an image capture system. The video may show an individual within the facility, an object within the facility, or an activity being performed within the facility. The device may process the video using a technique to identify the individual within the facility, the object within the facility, or the activity being performed within the facility. The device may track the individual, the object, or the activity through the facility to facilitate an analysis of the individual, the object, or the activity. The device may perform the analysis of the individual, the object, or the activity using information related to tracking the individual, the object, or the activity. The device may perform an action related to the individual, the object, or the activity based on a result of the analysis. The action may positively impact operations of the facility.

Abstract: Systems and methods for entitlement tracking and control with blockchain technology are provided. A server node may receive usage information indicating usage of a licensed component by a remote device. The server node may generate a datablock that includes the usage information and append the datablock to a blockchain. The server node may acquire, from the blockchain, a license smart contract. The license smart contract may include control logic to control access to the license component. The server node may control access to the license component by the remote device based on the usage information and the control logic.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for user interface generation for transacting goods are disclosed. In one aspect, a method includes receiving order data, user data, and other data. The method further includes determining, for a particular user, an order confidence score that corresponds to a likelihood that the particular user ordered a particular good from a particular vendor on a particular day. The method further includes receiving vendor-type mapping data. The method further includes determining a good-type confidence score that corresponds to the likelihood that the particular good or the particular vendor is associated with a particular type of good. The method further includes determining a composite confidence score. The method further includes storing the composite confidence score, data identifying the particular user, data identifying the particular type of good, and data identifying the particular date.

Abstract: An artificial intelligence system for managing a consumer relationship is provided. The artificial intelligence system includes: one or more client entities; a storage device configured to store data related to actions and characteristics of the one or more client entities, the actions and characteristics relating to payment of accounts receivable; one or more machine learning server devices configured to generate and update a machine learning model based on previous actions and characteristics of said one or more client entities; and predict future actions of the one or more client entities with respect to the payment of accounts receivable, based on the machine learning model.

Abstract: Implementations include providing a baseline multi-dimensional model of a cultivar, determining an encoding based on the baseline multi-dimensional model, and a target multi-dimensional model, the encoding defining a string of symbols, and being based on an alphabet and a set of rules, providing an expected multi-dimensional model based on the encoding, and a modified set of rules, the modified set of rules being based on the set of rules, the expected multi-dimensional model representing the cultivar after a period of time, selecting a set of actions by determining multiple predicted multi-dimensional models for each set of actions in a plurality of sets of actions, and, for each predicted multi-dimensional model, providing a predicted yield that can be used to determine impact with respect an expected yield, the set of actions being selected based on a respective impact, and providing the set of actions as output for executing on the cultivar.

Abstract: A device may receive an image stream of an environment of an electronic display. The device may detect that a target is in the environment, wherein the target is detected based on the image stream including an image associated with the target. The device may identify that a first object is associated with the target, wherein the first object is identified based on the object recognition model being trained to recognize the first object. The device may determine a characteristic of the first object and may determine that a second object is in the environment. The device may generate content that is to be displayed via the electronic display, wherein the content is generated based on the characteristic of the first object and a characteristic of the second object. The device may cause the content to be displayed via the electronic display to permit the target to access the content.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an automated testing script generation system are disclosed. In one aspect, a method includes the actions of receiving a context file, a test scenario, and a selected automation tool selected through a user interface, the context file including an object map comprising objects that correlate to respective components of a display page, the test scenario describing a test case for the application involving an intended interaction with a component on the display page, correlating the intended interaction with the component with the corresponding object in the object map, processing the intended interaction and the corresponding object through an Artificial Intelligence (AI) model, determining a script template based, applying the script template to generate an automated testing script for the selected automating tool, and executing the automated testing script to test the function of the display page.

Abstract: A device may receive information related to connections between two or more attendees of an event or subsequent interactions between the two or more attendees. The device may process the information using a set of techniques to permit an analysis of the connections and the subsequent interactions. The device may determine a score related to the event based on a result of analyzing the connections and the subsequent interactions. The score may indicate a level of success of the event with respect to the connections or the subsequent interactions. The device may perform an action based on the score.

Abstract: Implementations for mitigating redundant commands issued by an autonomic platform (AP) to a robotic process automation (RPA) platform can include receiving user input indicating user selection of a resource and a process from a user interface of the AP, adding a resource/process pair to a command table of the AP, the resource/process pair representing the resource and the process selected from the user interface, determining that a redundant resource/process pair is included in the command table, the redundant resource/process pair being duplicative of the resource/process pair, and, in response, deleting the redundant resource/process pair, and transmitting one or more requests for respective commands of the command table to a platform-specific adapter, at least one command including a command to execute the process using the resource within the RPA platform.

Abstract: Implementations are directed to methods, systems, apparatus, and computer programs for generation of a three-dimensional (3D) animation by receiving a user input defining a two-dimensional (2D) representation of a plurality of elements, processing, by the one or more processors, the 2D representation to classify the plurality of elements in symbolic elements and action elements, generating, by the one or more processors, based on the symbolic elements, the action elements, and a set of rules a 3D animation corresponding to the 2D representation, and transmitting, by the one or more processors, the 3D animation to an extended reality device for display.

Abstract: A system includes a holographic display that may create multi-dimensional images. The holographic display may be coupled to processing circuitry and display controller circuitry that may generate a multi-dimensional interface. The multi-dimensional interface may accept input from human interface devices that may translate human motion in multi-dimensional space into the multi-dimensional space of the multi-dimensional interface. The multi-dimensional interface may be generated by a holographic interface stack executing on the processing circuitry.

Abstract: Implementations directed to providing a computer-implemented method for automating analytical model building for code snippets, the method comprising receiving software instructions indicating functionality of a software component, analyzing the software instructions through natural language processing to identify tags to characterize the software instructions and the functionality, performing a search, based on the identified tags, of relevant Internet sites to identify code snippets that address the functionality, scoring one or more of the identified code snippets based on a respective relevance to the functionality, based on the scoring of the one or more of the identified code snippets, determining that at least one of the code snippets has a score that meets a relevance threshold, and providing the at least one of the code snippets based on the determination that the at least one of the code snippets has the score that meets the relevance threshold.

Abstract: A device may receive information regarding one or more client devices being utilized at a connected learning center. The device may receive information regarding one or more training courses, one or more users of the one or more client devices, and the one or more users. The user interface may provide information regarding a particular training course, of the one or more training courses, that a particular user is attending. The particular user may be determined to be attending the particular training course based on the information regarding the one or more client devices, obtained by a particular sensor of a plurality of sensors, indicating that a particular client device is located within a classroom of the connected learning center in which the particular training course is being provided. The device may provide the user interface for display.