A method, computer system, and a computer program product for dynamic internet of things (IoT) device grouping is provided. After an initial location of an IoT device is set, a current location of the IoT device is later determined. Thereafter, the determined current location is compared to the initial location. Responsive to determining that the current location does not match the initial location based on the comparing, a new IoT device group is assigned to the IoT device.

A method, computer system, and a computer program product for dynamic internet of things (IoT) device grouping is provided. After an initial location of an IoT device is set, a current location of the IoT device is later determined. Thereafter, the determined current location is compared to the initial location. Responsive to determining that the current location does not match the initial location based on the comparing, a new IoT device group is assigned to the IoT device.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

Disclosed is a server including a communication circuit, a memory, and a processor. The processor is be configured to store identification information and location information of at least one external device in the memory, to receive identification information of an Internet of Things (IoT) device nearby the at least one external device from the at least one external device, using the communication circuit, and to store the identification information of the IoT device in association with the identification information and the location information of the at least one external device in the memory as a database.

Disclosed is a server including a communication circuit, a memory, and a processor. The processor is be configured to store identification information and location information of at least one external device in the memory, to receive identification information of an Internet of Things (IoT) device nearby the at least one external device from the at least one external device, using the communication circuit, and to store the identification information of the IoT device in association with the identification information and the location information of the at least one external device in the memory as a database.

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.

The present disclosure provides a network off-line model processing method, an artificial intelligence processing device and related products, where the related products include a combined processing device. The combined processing device includes the artificial intelligence processing device, a general-purpose interconnection interface, and other processing devices, where the artificial intelligence processing device interacts with the other processing devices to jointly complete computation designated by users. The embodiments of the present disclosure can accelerate the operation of the network off-line model.

The present disclosure provides a network off-line model processing method, an artificial intelligence processing device and related products, where the related products include a combined processing device. The combined processing device includes the artificial intelligence processing device, a general-purpose interconnection interface, and other processing devices, where the artificial intelligence processing device interacts with the other processing devices to jointly complete computation designated by users. The embodiments of the present disclosure can accelerate the operation of the network off-line model.

A processor may analyze a physical environment. One or more portions of the physical environment may have an edge computing resource requirement. The processor may determine, based on the analyzing, one or more additional edge computing resources to be placed in a surrounding area associated with the one or more portions of the physical environment. The processor may situate, automatically, the one or more additional edge computing resources on a material handling device in the surrounding area and that is directed toward the one or more portions of the physical environment.

A processor may analyze a physical environment. One or more portions of the physical environment may have an edge computing resource requirement. The processor may determine, based on the analyzing, one or more additional edge computing resources to be placed in a surrounding area associated with the one or more portions of the physical environment. The processor may situate, automatically, the one or more additional edge computing resources on a material handling device in the surrounding area and that is directed toward the one or more portions of the physical environment.