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 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: A platform for updating one or more properties of one or more digital twins including receiving a request for one or more digital twins; retrieving the one or more digital twins required to fulfill the request from a digital twin datastore; retrieving one or more dynamic models corresponding to one or more properties that are depicted in the one or more digital twins indicated by the request; selecting data sources from a set of available data sources based on the one or more inputs of the one or more dynamic models; obtaining data from selected data sources; determining one or more outputs using the retrieved data as one or more inputs to the one or more dynamic models; and updating the one or more properties of the one or more digital twins based on the one or more outputs of the one or more dynamic models.

Abstract: A robot fleet platform for preparing a job request includes one or more processors configured to execute instructions. The instructions include a job request ingestion system configured to receive job content relating to at least one of picking, packing, moving, storing, warehousing, transporting or delivering of items in a supply chain. The job content includes an electronic job request and related data. The instructions include a job content parsing system configured to apply filters to the received job content to identify candidate portions thereof for robot automation. The instructions include a fleet intelligence layer that activates a set of intelligence services to process terms in the candidate portions of the job content and receive therefrom at least one recommended robot task and associated contextual information. The instructions include a demand intelligence layer that provides real time information relating to a parameter of demand for the items in the supply chain.

Abstract: A platform for updating one or more properties of one or more digital twins including receiving a request for one or more digital twins; retrieving the one or more digital twins required to fulfill the request from a digital twin datastore; retrieving one or more dynamic models corresponding to one or more properties that are depicted in the one or more digital twins indicated by the request; selecting data sources from a set of available data sources based on the one or more inputs of the one or more dynamic models; obtaining data from selected data sources; determining one or more outputs using the retrieved data as one or more inputs to the one or more dynamic models; and updating the one or more properties of the one or more digital twins based on the one or more outputs of the one or more dynamic models.

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: A digital product network system includes a set of digital products each having a product processor, a product memory, and a product network interface. The digital product network system includes a product network control tower having a control tower processor, a control tower memory, and a control tower network. The product processor and the control tower processor collectively include non-transitory instructions that program the digital product network system to generate product level data at the product processor, transmit the product level data from the product network interface, receive the product level data at the control tower network interface, encode the product level data as a product level data structure configured to convey parameters indicated by the product level data across the set of digital products, and write the product level data structure to at least one of the product memory and the control memory.

Abstract: An information technology system for a distributed manufacturing network includes an additive manufacturing management platform configured to manage process workflows for a set of distributed manufacturing network entities associated with the distributed manufacturing network. A modeling stage of a process workflow includes a digital twin modeling system defined by a product instruction or a control tower instruction to encode a set of digital twins representing a product for use by the additive manufacturing management platform. The information technology system includes an artificial intelligence system executable by a data processing system. The artificial intelligence system is trained to generate process parameters for the process workflows managed by the additive manufacturing management platform using data collected from the distributed manufacturing network entities.

Abstract: A system for representing attributes in a transportation system digital twin includes a digital twin datastore and one or more processors. The digital twin datastore stores a transportation-system digital twin including real-world-element digital twins embedded therein. The transportation system digital twin corresponds to a transportation system. Each real-world-element digital twin provides a digital twin of a respective real-world element that is disposed within the transportation system. The real-world-element digital twins include mobile-element digital twins. Each mobile-element digital twin provides a digital twin of a respective mobile element within the real-world elements.

Abstract: Systems and methods for configuring and launching a marketplace are described. A method may include identifying an opportunity for a new marketplace, receiving marketplace opportunity data, determining configuration parameters, and determining a feasibility of implementing the new marketplace configuration. An architecture of the new marketplace may be determined, and marketplace objects configured. Data resources and their configuration in a model may be determined and the data resources connected to marketplace objects. The new marketplace may then be launched.

Abstract: An entertainment gaming system and method for transforming a non-random number outcome into an entertainment gaming outcome. The entertainment gaming system comprises a central server, non-random number outcome generator machine, entertainment gaming machine, and database. The central server communicatively coupled with non-random number outcome generator machine and entertainment gaming machine. The entertainment gaming system collects non-random number based outcome from real-world events and transmitting it to the central server. The central server further utilizes an algorithm to process the received non-random number outcome into an entertainment gaming outcome. Further, the present entertainment gaming system comprises a database to store the received real-world non-random number based outcome and processed entertainment gaming outcome generated from the received non-random number based outcome.

Abstract: A robot fleet management platform includes a job configuration system that determines tasks to be performed by robots of a robot fleet based on a job request and a first fleet objective. A proxy service applies fleet configuration services to the tasks to produce a data structure. An intelligence layer activates intelligence services to produce a robot task and associated contextual information that facilitates robot selection and task ordering. A job workflow system generates a workflow defining a performance order of the tasks. A workflow simulation system simulates performance of the job request based on the workflow to recursively redefine the tasks, the data structure, or the workflow until the simulation result satisfies a second fleet objective. In response to the simulation result satisfying the set of fleet objectives, a plan generator generates a job execution plan based on the set of robot tasks, the data structure, and the workflow.

Abstract: A digital product network system generally includes a set of digital products each having a product memory, a product network interface, and a product processor programmed with product instructions; a product network control tower having a control tower memory, a control tower network interface, and a control tower processor programmed with control tower instructions; and a digital twin system defined at least in part by at least one of the product instructions or the control tower instructions to encode a set of digital twins representing the set of digital products.

Abstract: A dynamic vision system includes a variable focus liquid lens optical assembly. The dynamic vision system includes a control system configured to adjust one or more optical parameters and data collected from the variable focus liquid lens optical assembly in real time. The dynamic vision system includes a processing system that dynamically learns on a training set of outcomes, parameters, and data collected from the variable focus liquid lens optical assembly to train one or more machine learning models to recognize an object.

Abstract: Systems and methods for configuring and launching a marketplace are described. A method may include identifying an opportunity for a new marketplace, receiving marketplace opportunity data, determining configuration parameters, and determining a feasibility of implementing the new marketplace configuration. An architecture of the new marketplace may be determined, and marketplace objects configured. Data resources and their configuration in a model may be determined and the data resources connected to marketplace objects. The new marketplace may then be launched.

Abstract: A dynamic vision system includes a variable focus liquid lens optical assembly. The dynamic vision system includes a variable lighting assembly. The dynamic vision system includes a control system configured to adjust one or more optical parameters and data collected from the variable focus liquid lens optical assembly in real time. The dynamic vision system includes a control system configured to adjust the variable lighting assembly. The dynamic vision system includes a processing system that dynamically learns on a training set of outcomes, parameters, and data collected from the variable focus liquid lens optical assembly to train a set of machine learning models to control the variable focus liquid lens optical assembly to optimize collection of data for processing by the set of machine learning models.

Abstract: A robot fleet management platform includes a job parsing system that applies filters to identify portions of a job request suitable for robot automation. Based on the identified portions and a first fleet objective of the job request, a task system establishes tasks that define a robot type and task objective. A proxy service associates a robot of a robot fleet to each task and adaptation instructions to define how to adapt the robot fleet to perform the tasks. A workflow system generates a workflow defining a performance order of the tasks. A simulation system applies the workflow in an environment that includes digital models of the robot fleet and the tasks. The simulation is used to iteratively redefine the tasks and workflow until a second fleet objective is satisfied. A generation system generates a job execution plan in response to the simulation satisfying the first and second fleet objectives.

Abstract: A robot fleet management platform includes datastores configured to store a governance library defining governance standards. Processors execute computer-readable instructions to implement a governance-enabling intelligence layer that receives and responds to intelligence requests received from intelligence service clients. The intelligence layer includes artificial intelligence services including machine learning, rules-based intelligence, digital twin, robot process automation, and machine vision. The set of governance standards is applied to decisions made by one or more of the set of artificial intelligence services. An intelligence layer controller coordinates performance of the artificial intelligence services on behalf of the intelligence service clients and performance of analyses corresponding to the artificial intelligence services based on the set of governance standards.

Abstract: Systems and methods for controlling rights related to digital knowledge are disclosed. The system may include an input system to receive a three-dimensional (3D) printer instructions set for printing a 3D project; a tokenization system to tokenize the digital knowledge and a ledger management system to store the tokenized digital knowledge. The system may further include a smart contract system to implement a smart contract via the distributed ledger, perform a smart contract action with respect to the tokenized digital knowledge in response to an occurrence of a triggering event; process commitments of a plurality of parties to the smart contract; and manage rights of control of and access to the tokenized digital knowledge according to the smart contract. The distributed ledger includes a plurality of cryptographically linked blocks distributed over a plurality of nodes of a network.

Abstract: Knowledge distribution system for controlling rights related to digital knowledge are disclosed. The system may include an input system to receive an instance of digital knowledge from a user; a tokenization system to tokenize the digital knowledge and a ledger management system to store the tokenized digital knowledge. The system may further include a smart contract system to implement a smart contract via the distributed ledger, perform a smart contract action with respect to the tokenized digital knowledge in response to an occurrence of a triggering event; process commitments of a plurality of parties to the smart contract; and manage rights of control of and access to the tokenized digital knowledge according to the smart contract. The distributed ledger includes a plurality of cryptographically linked blocks distributed over a plurality of nodes of a network.

Abstract: A computer-implemented method for controlling rights related to digital knowledge is disclosed. The method includes creating and managing a distributed ledger which includes a plurality of blocks linked via cryptography distributed over a plurality of nodes of a network. The method further includes implementing and managing a smart contract which includes a triggering event and a smart contract action. The method further includes receiving, tokenizing, and storing an instance of the digital knowledge in the distributed ledger. The method includes managing, rights of control of and access to the tokenized digital knowledge based on the smart contract, and performing, in response to an occurrence of the triggering event, the corresponding smart contract action with respect to the tokenized digital knowledge.