Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The AI-based platform includes a set of modular, distributed energy systems that are configurable based on local demand requirements. In some embodiments, the local demand requirements are forecast by demand forecasting algorithm operating on a set of edge networking devices that are linked to a set of systems that consume energy. In some embodiments, at least one of the energy systems is configured by the AI-based platform to be located in proximity to a location and time of demand and/or to be located in proximity to a location and time of demand. In some embodiments, at least one of the energy systems is configured by the AI-based platform to generate energy at a point of local demand and/or to deliver a modular generation system to a location of demand.

Abstract: An AI-based platform with carbon generation and/or emissions awareness of a set of edge devices is disclosed. Each edge device of the set of edge devices is configured to maintain awareness of carbon generation and/or emissions of at least one entity of a set of energy-using entities that are linked to and/or governed by the set of edge devices. In some embodiments, at least one edge device of the set is configured to simulate carbon emissions of at least one entity of the set of energy-using entities. In some embodiments, at least one edge device of the set is configured to execute a set of machine-learned algorithms trained on a training data set of carbon generation data to calculate a metric of carbon generation for a set of operational entities.

Abstract: A computer-implemented method for optimizing a distributed database includes receiving, at an aggregator, one or more query logs comprising past queries received by the distributed database. The method includes generating, by the aggregator, a query prediction model based on the one or more query logs. The method includes predicting, by the aggregator, a future query using the query prediction model. The predicted future query is predicted to be received by an edge device. The method includes causing, by the aggregator, data for responding to the predicted future query to be transmitted to the edge device.

Abstract: A dynamic vision system for a robotic system includes an optical assembly including a lens containing a liquid. The lens is deformable to generate variable focus for the lens. The optical assembly is configured to capture optical data. A robotic system is configured to simulate human or animal species capabilities having a control system configured to adjust one or more optical parameters. The one or more optical parameters modify the variable focus of the lens while the optical assembly captures current optical data relating to the robotic system. A processing system is configured to train a machine learning model to recognize an object relating to the robotic system from training data generated from the optical data captured by the optical assembly. The optical data includes the current optical data relating to the robotic system.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The AI-based platform includes a digital twin that is updated by a data collection system that dynamically maintains a set of historical, current, and/or forecast energy demand parameters for a set of fixed entities and a set of mobile entities within a defined domain. The updating of the digital twin is based on the set of energy demand parameters. In some embodiments, the energy demand parameters are based on one or more public data resources, such as a weather data resource, a satellite data resource, or a census, population, demographic, and/or psychographic data resource. In some embodiments, the energy demand parameters are based on one or more enterprise data resources, such as resource planning data, demand planning data, or supply chain data.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The AI-based platform includes an adaptive energy data pipeline configured to communicate data across a set of nodes in a network. Each node of the set of nodes is adapted to operate on an energy data set associated with at least one of energy generation, energy storage, energy delivery, or energy consumption. At least one node of the set of nodes is configured, by one or both of an algorithm or a rule set, to filter, compress, transform, error correct and/or route at least a portion of the energy data set based on at least one of a set of network conditions, data size, data granularity, or data content.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The platform includes a digital twin system having a digital twin of a mining environment. The digital twin includes at least one parameter that is detected by a sensor of the mining environment. In some disclosed embodiments, the at least one parameter is associated with one or more of an unmined portion of the mining environment a mining of materials from the mining environment, a smart container event involving a smart container associated with the mining environment, a physiological status of a miner associated with the mining environment, a transaction-related event associated with the mining environment, and a compliance of the mining environment with one or more contractual, regulatory, and/or legal policies.

Abstract: A computer-implemented method for executing a quantum computing task includes providing a quantum computing system. The computer-implemented method includes receiving a request, from a quantum computing client, to execute a quantum computing task via the quantum computing system. The computer-implemented method includes executing the requested quantum computing task via the quantum computing system. The executing the requested quantum computing task includes trapping a set of ions. The computer-implemented method includes returning a response related to the executed quantum computing task to the quantum computing client.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The platform includes a set of adaptive, autonomous data handling systems. Each of the adaptive, autonomous data handling systems is configured to collect data relating to energy generation, storage, or delivery from a set of edge devices that are in operational control of a set of distributed energy resources. Each of the adaptive, autonomous data handling systems is configured to autonomously adjust, based on the collected data, a set of operational parameters for such operational control.

Abstract: A method for processing a query for data stored in a distributed database includes receiving, at an edge device, the query for data stored in the distributed database from a query device. The method includes causing, by the edge device, the query to be stored on a dynamic ledger maintained by the distributed database. The method includes detecting, by the edge device, that summary data has been stored on the dynamic ledger. The method includes generating, by the edge device, an approximate response to the query based on the summary data stored on the dynamic ledger. The method includes transmitting, to the query device, the approximate response.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The platform includes an adaptive energy data pipeline configured to communicate data across a set of nodes in a network. At least a subset of the set of nodes is configured, by at least one of a rule or an algorithm, to set at least one parameter of data communication associated with the adaptive energy data pipeline. The at least one parameter is based on a set of indicators of current network conditions in order to optimize energy used in the data communication.

Abstract: A method of configuring robot fleets with additive manufacturing capabilities includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks to be performed in furtherance of the job. The method includes determining a provisioning configuration for each additive manufacturing system based on the task to which the additive manufacturing system is assigned, the set of 3D printing requirements, the printing instructions, and the status of the additive manufacturing system. The method includes provisioning the additive manufacturing system based on the provisioning configuration and a set of additive manufacturing system provisioning rules that are accessible to an intelligence layer to ensure that provisioned systems comply with the provisioning rules. The method includes deploying the robotic fleet based on the robotic fleet configuration data structure to perform the job.

Abstract: A method includes receiving a request for a robotic fleet to perform a job and defining a set of tasks that are to be performed in performance of the job. The method includes assigning robots selected from a robot inventory to the set of tasks based on a robot inventory data structure that indicates, for each robot, a status and set of baseline features. The robots include one or more assigned multi-purpose robots that can be configured for different tasks and different environments. The method includes determining a configuration for each assigned robot based on the respective task that is assigned and a components inventory. The components inventory indicates multiple components and, for each component, a status and a set of extended capabilities. The method includes configuring the one or more assigned multi-purpose robots based on the respective configurations. The method includes deploying the robotic fleet to perform the job.

Abstract: An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The platform includes a system configured to perform automated and coordinated governance of a set of energy entities that are operationally coupled within an energy grid and a set of distributed edge energy resources. At least one of the distributed edge energy resources is operationally independent of the energy grid.

Abstract: A method for processing a query for data stored in a distributed database includes receiving, at an edge device, the query for data stored in the distributed database from a query device. The query is a request for data stored at the edge device and for data stored at other edge devices. The method includes executing, by the edge device, the query to find partial query results comprising the data stored at the edge device. The method includes generating, by the edge device, statistical information based on the partial query results. The method includes determining, by the edge device, a statistical confidence associated with the partial query results based on the statistical information. The method includes generating, by the edge device, an approximate response to the query based on the statistical information. The method includes transmitting the approximate response to the query device.

Abstract: Systems and methods for integrating a gaming engine and a smart contract system in a platform are provided. The gaming engine is programmed with a software development environment and an architecture that provides a set of gaming engine services with predefined tools for digital content developers to create a set of game engine generated environments. The smart contract system programmed with smart contract services associated with transactions that are based on electronically verifiable conditions. The integration platform is programmed with an execution framework that is common to the gaming engine and to the smart contract system to integrate the smart contract services with at least one of the gaming engine and the set of game engine generated environments.

Abstract: Systems and methods for integrating a gaming engine and a smart contract system in a platform are provided. The gaming engine is programmed with a software development environment and an architecture that provides a set of gaming engine services with predefined tools for digital content developers to create a set of game engine generated environments. The smart contract system programmed with smart contract services associated with transactions that are based on electronically verifiable conditions. The integration platform is programmed with an execution framework that is common to the gaming engine and to the smart contract system to integrate the smart contract services with at least one of the gaming engine and the set of game engine generated environments.

Abstract: Methods generally including interpreting at least a subset of the plurality of detection values to determine a state value comprising at least one of a process state or a component state; analyzing a subset of the plurality of detection values and the state value, using at least one of a neural net or an expert system, and providing an adjustment recommendation for the industrial production process, the adjustment recommendation, at least in part, in response to a sensitivity of at least one of the plurality of input channels relative to the state value; adjusting the industrial production process in response to the adjustment recommendation; determining a relevance of the adjustment recommendation to at least one role type stored within a role taxonomy; and reporting the adjustment to the industrial production process to at least one entity associated with the role type stored within the role taxonomy.

Abstract: Systems for data collection in an industrial environment having a self-sufficient data acquisition box for capturing and analyzing data in an industrial process generally including a data circuit for analyzing a plurality of sensor inputs; and a network control circuit for sending and receiving information related to the plurality of sensor inputs to an external system. The information sent and received by the network control system is based at least in part on a role-based reporting rule and encoded with role-based information that is used by the external system to report the information sent and received to a specified role taxonomy, the system provides sensor data to one or more other systems for data collection, and the data circuit dynamically reconfigures a route by which the system sends the sensor data based on how many devices are requesting the information.

Abstract: Computer-implemented methods for fault diagnosis in an industrial environment generally includes processing the plurality of sensor data values to determine a recognized pattern therefrom; retrieving at least one industrial-environment digital twin corresponding to the industrial environment, the at least one industrial-environment digital twin comprising a plurality of component digital twins, with each of the plurality of component digital twins corresponding to one of the plurality of components in the industrial environment, and wherein the at least one industrial-environment digital twin and the plurality of component digital twins are visual digital twins that are configured to be rendered in a visual manner; and rendering the at least one industrial-environment digital twin and the at least one respective component digital twin corresponding to the particular component in the client application in response to the received request and based on the operational condition of the particular component.