SYSTEMS AND METHODS FOR AI INFERENCE PLATFORM

    公开(公告)号:US20230048481A1

    公开(公告)日:2023-02-16

    申请号:US17884760

    申请日:2022-08-10

    Abstract: System and method for using and managing artificial intelligence (AI) inference platform (AIP) and/or model orchestrators according to certain embodiments. For example, a method includes receiving sensor data via a data interface of a model orchestrator, the model orchestrator including an indication of a model pipeline, the model pipeline including a plurality of models; loading the plurality of models according to the model pipeline; applying the model pipeline to the received sensor data; receiving a model output from the model pipeline via a model interface of the model orchestrator; and generating an insight based at least in part on the model output.

    DETERMINING GEOLOCATIONS OF COMPOSITE ENTITIES BASED ON HETEROGENEOUS DATA SOURCES

    公开(公告)号:US20210034654A1

    公开(公告)日:2021-02-04

    申请号:US16871912

    申请日:2020-05-11

    Abstract: An example method of determining geolocations of composite entities based on information retrieved from heterogeneous data sources comprises: identifying, by a computer system, an association of a first object and a second object with a composite object; receiving, from a first data source associated with the first object by an ontology, a first dataset including a first data item specifying a first time identifier and a first geolocation associated with the first object; receiving, from a second data source associated with the second object by the ontology, a second dataset including a second data item specifying a second time identifier and a second geolocation associated with the second object; and determining, by applying a rule set associated with the ontology to the first dataset and the second dataset, a geolocation of the composite object and a corresponding time identifier.

    Graph analysis of geo-temporal information

    公开(公告)号:US10942952B1

    公开(公告)日:2021-03-09

    申请号:US16138800

    申请日:2018-09-21

    Abstract: Systems, methods, and non-transitory computer readable media may be configured to provide graph analysis of geo-temporal information. A location dataset, an entity dataset, and a movement dataset may be accessed. The location dataset may define locations. The entity dataset may define entities. The movement dataset may define movement of the entities among the locations. A graph may be generated based on the location dataset, the entity dataset, and the movement dataset. The graph may represent (1) the locations and the entities with nodes, and (2) the movement of the entities among the locations with edges.

    DETERMINING OBJECT GEOLOCATIONS BASED ON HETEROGENEOUS DATA SOURCES

    公开(公告)号:US20210034653A1

    公开(公告)日:2021-02-04

    申请号:US16871890

    申请日:2020-05-11

    Abstract: An example method of determining geolocations of objects based on information retrieved from heterogeneous data sources comprises: receiving, from a first data source associated with an object by an ontology-defined relationship, a first dataset including a first data item specifying a first time identifier and a first geolocation associated with the object; receiving, from a second data source associated with an object by an ontology-defined relationship, a second dataset including a second data item specifying a second time identifier and a second geolocation associated with the object; and determining, by applying a rule set associated with the ontology to the first dataset and the second dataset, a geolocation of the object and a corresponding time identifier.

    SYSTEMS AND METHODS FOR AI META-CONSTELLATION

    公开(公告)号:US20230050870A1

    公开(公告)日:2023-02-16

    申请号:US17884761

    申请日:2022-08-10

    Abstract: System and method for device constellation according to certain embodiments. For example, a method for device constellation, the method includes the steps of: receiving a request, the request including a plurality of request parameters; decomposing the request into one or more tasks; selecting one or more edge devices based at least in part on the plurality of request parameters; assigning the one or more tasks to the one or more selected edge devices to cause the one or more selected edge devices to perform the one or more tasks; and receiving one or more task results from the one or more selected edge devices.

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