Abstract: A method including receiving a first set of one or more street level images of houses into a Machine Learned Model trained with a second set of street level images with one or more exterior features of the houses labeled, identifying the one or more exterior features in the first set of street level images by way of the Machine Learned Model, and quantifying and outputting the counts and/or two-dimensional areas for each of the identified exterior features in the first set of one or more street level images is described. Non-transitory, computer-readable storage media having instructions for executing the method steps by one or more processors as well as computer or computer systems capable of performing the method steps are also described.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating suggested communications during a multi-agent interaction using a language model neural network.

Abstract: A method including receiving a first set of one or more street level images of houses into a Machine Learned Model trained with a second set of street level images with one or more exterior features of the houses labeled, identifying the one or more exterior features in the first set of street level images by way of the Machine Learned Model, and quantifying and outputting the counts and/or two-dimensional areas for each of the identified exterior features in the first set of one or more street level images is described. Non-transitory, computer-readable storage media having instructions for executing the method steps by one or more processors as well as computer or computer systems capable of performing the method steps are also described.

Abstract: A method including receiving a first set of one or more street level images of houses into a Machine Learned Model trained with a second set of street level images with one or more exterior features of the houses labeled, identifying the one or more exterior features in the first set of street level images by way of the Machine Learned Model, and quantifying and outputting the counts and/or two-dimensional areas for each of the identified exterior features in the first set of one or more street level images is described. Non-transitory, computer-readable storage media having instructions for executing the method steps by one or more processors as well as computer or computer systems capable of performing the method steps are also described.

Abstract: A method including receiving a first set of one or more street level images of houses into a Machine Learned Model trained with a second set of street level images with one or more exterior features of the houses labeled, identifying the one or more exterior features in the first set of street level images by way of the Machine Learned Model, and quantifying and outputting the counts and/or two-dimensional areas for each of the identified exterior features in the first set of one or more street level images is described. Non-transitory, computer-readable storage media having instructions for executing the method steps by one or more processors as well as computer or computer systems capable of performing the method steps are also described.

Abstract: A method including receiving a first set of one or more street level images of houses into a Machine Learned Model trained with a second set of street level images with one or more exterior features of the houses labeled, identifying the one or more exterior features in the first set of street level images by way of the Machine Learned Model, and quantifying and outputting the counts and/or two-dimensional areas for each of the identified exterior features in the first set of one or more street level images is described. Non-transitory, computer-readable storage media having instructions for executing the method steps by one or more processors as well as computer or computer systems capable of performing the method steps are also described.

Abstract: A method for registering one or more Greenfield devices via a virtual Internet of Things Universal Identifier (IoT UID) is provided. The method includes identifying one or more Brownfield devices, generating device property data based at least in part on the one or more Brownfield devices, and transmitting, to an IoT device registrar server, a registration request that includes the device property data. The method further includes interpreting one or more IoT UIDs generated in response to the transmitting of the registration request.

Abstract: An apparatus for an Internet of Things device registry display includes a user input processing circuit structured to interpret one or more user input command values, an Internet of Things Universal Identification (IoT UID) identification circuit structured to determine one or more IoT UIDs, based at least in part on the one or more user input command values, a device lookup circuit structured to: generate a query that includes the one or more IoT UIDs, and retrieve device property data corresponding to the one or more IoT UIDs, a query provisioning circuit structured to transmit the query to an IoT device registrar server, a device property processing circuit structured to interpret the device property data generated by the IoT device registrar server in response to the query, and a display circuit structured to display the device property data with the corresponding one or more IoT UIDs.

Abstract: A database system is operable to perform a power supply strategy selection function based on first energy utilization-based operation optimizer input data to generate first energy utilization-based power supply strategy data denoting, for each power supply type of a plurality of power supply types, a corresponding first proportion of power supply resources that be implemented as the each power supply type. A first set of power supply resources is selected to execute a first database operation based on the first energy utilization-based power supply strategy data. The first set of power supply resources are utilized to power a first set of computing devices to enable the first set of computing devices to participate in execution of the first database operation in accordance with the first energy utilization-based power supply strategy data.

Abstract: A database system is operable to determine power usage policy data and generate operation requirement data based on the power usage policy data. A database operation is determined for execution, and an energy utilization-based operation limitation enforcement function is performed upon energy utilization-based operation restriction enforcement input data to generate energy utilization-based operation restriction enforcement data for the database operation based on applying the operation requirement data. The database operation is executed when the energy utilization-based operation restriction enforcement data indicates execution of the operation is allowed based on execution of the database operation adhering to the operation requirement data. Execution of database operation is foregone when the energy utilization-based operation restriction enforcement data indicates execution of the operation is disallowed based on execution of the database operation not adhering to the operation requirement data.

Abstract: A database system is operable to generate a query operation energy utilization estimation function based on historic energy utilization data and historic query operation execution data. A query is determined for execution and energy utilization estimation input data is determined for the query operation. The query operation energy utilization estimation function is performed upon the energy utilization estimation input data to generate energy utilization estimate data for the query operation. An energy efficiency strategy for the database system is applied based on the energy utilization estimate data generated for the query operation.

Abstract: A guiding arrangement configured to guide a slurry feed in a flotation tank of a flotation cell, a flotation cell and a flotation method. The guiding arrangement comprises at least one guiding plate arranged at the flotation cell. The at least one guiding plate is arranged obliquely in relation to the horizontal.

Abstract: A slurry feeding arrangement, flotation cell, line, and a method for treating particles suspended in slurry. The slurry feeding arrangement comprises one or more slurry feed means configured to feed slurry to a froth layer; a feed chamber configured to receive the fed slurry from the one or more slurry feed means; an overflow ramp between the feed chamber and the froth layer configured to lead the slurry from the feed chamber to the froth layer.

Abstract: A method for determining a trust indicator is provided. The method may include interpreting, via an Internet of Things Universal Identifier (IoT UID) processing circuit, an IoT UID corresponding to a device and identifying, via a record management circuit and based at least in part on the IoT UID, a record in a database corresponding to the device. The method may further include determining, via a trust analysis circuit and based at least in part on the record, a risk indicator of the device and transmitting, via an indicator provisioning circuit, the risk indicator.

Abstract: A sports ball, for example a soccer ball, comprising a hollow shell and a pit suspended within the hollow shell by a plurality of cords. In some embodiments, the plurality of cords may comprise a first end coupled to the hollow shell at a first location, a second end coupled to the hollow shell at a second location, and a center portion coupled to the pit. In some embodiments, the pit may be suspended within the hollow shell by a plurality of cords, with each of the plurality of cords comprising a frayed end secured to the hollow shell at one of a plurality of spaced apart locations.

Abstract: A database system is operable to generate an energy utilization-based operation scheduling function based on power usage policy data for the database system. A storage-formatted data generation operation is determined for execution, and energy utilization-based operation scheduling input data is determined for the storage-formatted data generation operation. The storage-formatted data generation operation energy utilization-based operation scheduling function is performed upon the energy utilization-based operation scheduling input data to generate energy utilization-based operation scheduling data for the storage-formatted data generation operation. A plurality of storage-formatted data structures are generated from a plurality of records for storage based on executing the storage-formatted data generation operation in accordance with the energy utilization-based operation scheduling data.

Abstract: A data processing apparatus is provided which controls the use of data in respect of a further operation. The data processing apparatus identifies whether data is trusted or untrusted by identifying whether or not the data was determined by a speculatively executed resolve-pending operation. A permission control unit is also provided to control how the data can be used in respect of a further operation according to a security policy while the speculatively executed operation is still resolve-pending.

Abstract: An infusion system includes an infusion endpoint configured to deliver a medical fluid and a broadcaster configured to communicate with the infusion endpoint. The infusion endpoint includes a controller and a communication module configured to communicate using first and second communication mediums. The broadcaster includes a wireless transmitter and a computing device configured to provide a broadcasting utility. The broadcasting utility is configured to prepare a message for broadcast by the wireless transmitter, and the communication module is configured to receive the message via a wireless link using the first communication medium. The controller is configured to determine one or more configuration parameters from the message, connect to a network according to the configuration parameters and disable the first communication medium when connected to the network. The communication module is configured to communicate with the network via a network link using the second communication medium.

Abstract: A method including receiving a first set of one or more street level images of houses into a Machine Learned Model trained with a second set of street level images with one or more exterior features of the houses labeled, identifying the one or more exterior features in the first set of street level images by way of the Machine Learned Model, and quantifying and outputting the counts and/or two-dimensional areas for each of the identified exterior features in the first set of one or more street level images is described. Non-transitory, computer-readable storage media having instructions for executing the method steps by one or more processors as well as computer or computer systems capable of performing the method steps are also described.

Abstract: An Internet of Things device registry display that includes a user input processing circuit structured to interpret one or more user input command values, an Internet of Things Universal Identification (IoT UID) identification circuit structured to determine one or more IoT UIDs, based at least in part on the one or more user input command values, a device lookup circuit structured to: generate a query that includes the one or more IoT UIDs, and retrieve device property data corresponding to the one or more IoT UIDs, a query provisioning circuit structured to transmit the query to an IoT device registrar server, a device property processing circuit structured to interpret the device property data generated by the IoT device registrar server in response to the query, and a display circuit structured to display the device property data with the corresponding one or more IoT UIDs.