Abstract: Direct measurement and simulation of real-time production rates of chemical products in complex chemical plants is complex. A predictive model developed based on machine learning algorithms using historical sensor data and production data provides accurate real-time prediction of production rates of chemical products in chemical plants. An optimization model based on machine learning algorithms using clustered historical sensor data and production data provides optimal values for controllable parameters for production maximization.

Abstract: An interactive kiosk includes a display, a microphone, and one or more processors that perform operations including receiving user input provided as a spoken query of a user, receiving user-specific data, querying, by a virtual agent, one or more back-end systems based on the user input, and the user-specific data to provide one or more responses, displaying one or more graphical representations of the one or more responses to the user on the display, the one or more graphical representations depicting at least one product for purchase, facilitating a purchase of the at least one product, and providing instructions to the passenger for physical retrieval of the at least one product within a location.

Abstract: A system may include a federated shipping node. The federated shipping node may receive shipping information for a parcel and determine a new shipping state for the parcel based on the shipping information. The federated shipping node may append the new shipping state to a blockchain. In addition, the federated shipping node may store the new shipping state in an off-chain database. A previous shipping state for the parcel may be replaced with the new shipping state in the off-chain database. To display the real-time information related to the parcel, the federated shipping node may receive the new shipping state from the off-chain database, and send the new shipping state to a device for display. To display the historical information related to the parcel, the federated shipping node may receive previous shipping states from the blockchain, and send the previous shipping states to the device for display.

Abstract: In some possible implementations, a device may include one or more memories and one or more processors, communicatively coupled to the one or more memories, to: receive a document that includes a plurality of clauses relating to two or more entities; identify a selected clause, of the plurality of clauses, based on a characteristic of the selected clause; determine a domain-specific language (DSL) unit based on the selected clause, the DSL unit identifying the two or more entities and values associated with the selected clause, identified by the selected clause, associated with the two or more entities; automatically generate a smart contract based on the DSL unit, the smart contract being configured to enforce a condition or action, of the values, between the two or more entities; and perform an action based on the smart contract.

Abstract: A device may receive user input data identifying a canvas, API documents, or tagged assets for an application to be generated, a requirements document for the application, and asset data identifying reusable assets and components for the application. The device may process the user input data, the requirements document, and the asset data, with a first model, to extract entity data and intent classification data. The device may parse the API documents to generate structured data identifying API endpoints, a request API model, and a response API model. The device may process the structured data to generate an API layer. The device may process the canvas to identify UI objects and to map the UI objects to UI elements. The device may generate code for the application based on the asset data, the entity data, the intent classification data, the API layer, and the UI elements.

Abstract: This document describes impact networks that enable stakeholders to measure and take actions to adjust the impact of changes to products and services. In one aspect, a method includes receiving a stakeholder impact graph defining stakeholders. Each stakeholder is a node that is connected to at least one other stakeholder by an impact relationship edge. Data defining a first design perturbation in one or more design properties for a product or service of a first stakeholder is received from the first stakeholder. A determination is made, for one or more second stakeholders of the stakeholders connected to the first stakeholder by a respective impact relationship edge, a respective impact on the second stakeholder caused by the first design perturbation. Data defining a remediation perturbation that adjusts the respective impact of the first deign perturbation on the one or more second stakeholders is received.

Abstract: A device may receive data associated with a benefit manager organization. The data may relate to a performance of the benefit manager organization and hardware resources associated with the benefit manager organization. The device may process the data using a technique after receiving the data. The device may map the data to a benefit manager operating model based on processing the data. The benefit manager operating model may identify a functional area or a sub-area of another benefit manager organization. The device may perform an analysis of the data based on mapping the data to the benefit manager operating model. The device may identify a deficiency related to the performance of the benefit manager organization. The device may perform an action to positively impact the performance of the benefit manager organization based on identifying the deficiency. The action may reduce the deficiency.

Abstract: Methods, systems, and apparatus for solving optimization tasks. In one aspect, a system includes one or more classical processors and one or more quantum computing resources, wherein the one or more classical processors and one or more quantum computing resources are configured to perform operations comprising receiving input data comprising data specifying a computational task to be solved; processing the received input data using a first quantum computing resource to generate data representing a reduced computational task, wherein the reduced computational task has lower dimensionality that the computational task; and processing the data representing the reduced computational task to obtain a solution to the computational task.

Abstract: Implementations of the present disclosure include providing, by a security platform, graph data defining a graph that is representative of an enterprise network, the graph comprising nodes and edges between nodes, a set of nodes representing respective assets within the enterprise network, each edge representing at least a portion of one or more lateral movement paths between assets in the enterprise network, determining, for each asset, a criticality of the respective asset to operation of a process, determining a lateral movement path between a first node represented by a first asset and a second node represented by second asset within the graph, determining a path value representative of a criticality in preventing an attack through the lateral movement path, and providing an indication of the path value representative of the criticality in preventing an attack through the lateral movement path.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for natural language control of web browsers. The methods, systems, and apparatus include actions of obtaining a query from a user, determining a likely intent and an entity from the query, determining an action and script metadata based on the likely intent and the entity, compiling scripts based on the action and the script metadata, and providing the scripts to a web browser for execution.

Abstract: Implementations directed to instantiating adapters for communication between a UAP and one or more RPA platforms, and include receiving, by an intelligent adapter service of the UAP, input representing an RPA platform of a plurality of RPA platforms, querying, by the intelligent adapter service, one or more files of the RPA platform to determine one or more identifiers of the RPA platform, selecting, by the intelligent adapter service, an adapter of a plurality of adapters based on the one or more identifiers of the RPA platform, installing, by the intelligent adapter service, the adapter, and configuring, by the intelligent adapter service, the adapter to be specific to the RPA platform, configuring including setting one or more parameters of the RPA platform.

Abstract: A device may receive medical data associated with potential patients for a clinical trial of a drug, where the medical data includes one or more of multi-omics data associated with the potential patients, genomic profiles of the potential patients, dosage and time associated with the drug, electronic medical records of the potential patients, or clinical trial data associated with the drug. The device may perform, in parallel, a topological data analysis, a non-matrix factorization analysis, and a neural network analysis of the medical data. The device may identify a group of patients, of the potential patients, for the clinical trial of the drug based on performing the topological data analysis, the non-matrix factorization analysis, and the neural network analysis of the medical data, and may provide information identifying the group of patients.

Abstract: A device may receive an indication that a product has arrived at a destination. The product may have been shipped by an entity to the destination. The device may perform an analysis on the product to determine an attribute of the product. The device may perform a comparison of information identifying the attribute of the product and information included in an encrypted record, for the product, of a blockchain, to verify the attribute of the product. The information included in the encrypted record may be related to attributes of the product. The attributes of the product may have been determined by the entity that shipped the product to the destination. The device may determine whether the attribute of the product is verified based on performing the comparison. The device may perform an action based on determining whether the attribute of the product is verified.

Abstract: Implementations of the present disclosure include generating, by a design generation assistant, a design image representing a design subject, the design subject having one or more regulations applicable thereto, querying, by a regulation assistant, an answer extractor to provide a query result based on a query, the answer extractor including at least one deep learning model that processes the query to provide the query result, the query being descriptive of at least a portion of the design subject, the query result being representative of at least one regulation applicable to the design subject, and displaying, within a graphical user interface (GUI), the query result.

Abstract: A knowledge enabled data management system ingests data and stores the data as an instance in a knowledge graph according to a domain specific ontology. The instance includes stored relationships of the entities in the instance. A query regarding the data may be parsed to derive a first query entity that is used to search the knowledge graph for a first graph entity corresponding to the first query entity. Results may be returned including a first identification of the first graph entity, a second identification of at least a second graph entity related to the first graph entity stored within the knowledge graph, and additional data corresponding to the first graph entity and to the second graph entity. The additional data may include a probabilistic measure of the relationship of the first graph entity to the second graph entity.

Abstract: A device may receive information that identifies a requirement. The device may receive information associated with a set of positive entities and a set of negative entities. The device may identify a set of priority terms based on the information associated with the set of positive entities and the set of negative entities. The device may identify a first set of ancillary terms and a second set of ancillary terms based on the information that identifies the set of priority terms. The device may generate a model based on the set of priority terms, the first set of ancillary terms, and the second set of ancillary terms. The device may determine a set of classification scores, for a set of unclassified entities, based on information associated with the set of unclassified entities and the model. The device may provide information that identifies the set of classification scores to cause an action to be performed in association with the set of unclassified entities.

Abstract: Systems, methods, devices, and other techniques for placing and rendering virtual objects in three-dimensional environments. The techniques include providing, by a device, a view of an environment of a first user. A first computing system associated with the first user receives an instruction to display, within the view of the environment of the first user, a virtual marker at a specified position of the environment of the first user, the specified position derived from a second user's interaction with a three-dimensional (3D) model of at least a portion of the environment of the first user. The device displays, within the view of the environment of the first user, the virtual marker at the specified position of the environment of the first user.

Abstract: Implementations of the present disclosure include providing a graph representative of a network, a set of nodes representing respective assets, each edge representing one or more lateral paths between assets, the graph data including configurations affecting at least one impact that has an effect on an asset, determining multiple sets of fixes for configurations, each fix having a cost associated therewith, incorporating fix data of the sets of fixes into the graph, defining a set of fixes including one or more fixes from the multiple sets of fixes by defining an optimization problem that identifies one or more impacts that are to be nullified and executing resolving the optimization problem to define the set of fixes, each fix in the set of fixes being associated with a respective configuration in the graph, and scheduling performance of each fix in the set of fixes based on one or more operational constraints.

Abstract: A digital assistant platform may receive a query relating to a target data file. The target data file may be associated with a standardized data set. The standardized data set may include data files that are aggregated based on data elements associated with the data files, and may be configured to enable a plurality of services. The digital assistant platform may extract, based on the query, one or more keywords, and identify an intent classification and an entity associated with the query. The digital assistant platform may analyze the plurality of services to identify a target service to enable, and analyze the data elements to identify the target data file. The digital assistant platform may determine, using the target service, analytical information associated with a data element of the target data file, and generate a response to the query based on the analytical information.

Abstract: Systems, method, and computer-readable storage media for controlling item retrieval processes from an item and storage infrastructure are disclosed. The disclosed techniques utilize an automated guided vehicle (AGV) and real-time feedback to validate the item retrieval process is performed correctly. Item retrieval may be performed autonomously by an AGV equipped with item retrieval components, such as hydraulic arms, pistons, and other components and control logic, or may be performed as a user-aided process, where feedback is provided to the user to instruct the user which item is to be retrieved and the user then loads the item onto the AGV. The AGV is configured to utilize a coordinate system to facilitate automated navigation along a series of determined waypoints during the item retrieval process. Additionally, feedback or instructions may be provided to a user device (e.g., for user-aided processes) to assist with the item retrieval process.