An artificial intelligence device includes a microphone configured to receive a speech command, a speaker, a communication unit configured to perform communication with an external artificial intelligence device, and a processor configured to receive a wake-up command through the microphone, acquire a first speech quality level of the received wake-up command, receive a second speech quality level of the wake-up command input to the external artificial intelligence device from the external artificial intelligence device through the communication unit, output a notification indicating that the artificial intelligence device is selected as an object to be controlled through the speaker, when the first speech quality level is larger than the second speech quality level, receive an operation command through the microphone, acquire an intention of the received operation command and transmit the operation command to an external artificial intelligence device which will perform operation corresponding to the operation command according to the acquired intention through the communication unit.

An information processing system includes: an image display apparatus provided in a space and configured to display an image; a sensor apparatus carried by a user who is present in the space and configured to output a signal for detecting position information of the user in the space; and an information processing apparatus. The information processing apparatus includes circuitry configured to store a plurality of pieces of position information of a plurality of users including the user, who are in present in the space, in association with the plurality of users, the plurality of users being detected based on signals output from a plurality of sensor apparatuses including the sensor apparatus, and control environment effect production that supports communication between the plurality of users by the image displayed by the image display apparatus, based on each of the plurality of pieces of position information of the plurality of users.

A networked system has a first device which sends commands to one or more other devices. If those other devices are able to follow the commands, they inhibit reporting of their status. Thus, network status data is maintained based on the commands, unless status reports indicate that the commands could not be followed or that status changes have been made which were not in response to commands from the first device.

A monitoring system for apparatus and systems in commercial and residential properties is provided. The monitoring system consists of a head unit and a tail unit, each of which has one or more sensors that measure performance parameters that are important to understanding the performance of the apparatus and system being monitored. As an example, an HVAC system may be monitored to determine when an air filter needs to be changed, or to predict when failure of the HVAC system may be imminent. The sensor array in the head unit and tail unit measure performance and report alerts and historical system performance to users through a mobile app, social media accounts, or any other system for communicating over a wired or wireless network connection.

An apparatus may control the power delivered from an AC power source to an electrical load, and may comprise a controllably conductive device. The apparatus may also comprise a controller that may be operatively coupled to a control input of the controllably conductive device. The apparatus may also include a first wireless communication circuit operable to communicate via a first protocol and to join a first wireless communication network operable to communicate via the first protocol. The first wireless communication circuit may be in communication with the controller. The controller may be operative to determine a first condition for communicating via the first protocol. The controller may also be operable to control the first wireless communication circuit to join the first wireless communication network upon the first condition being satisfied.

In at least one aspect, a method comprises: receiving information associated with a plurality of scheduled actions, each of the plurality of scheduled actions defining a device to be controlled, an action to be carried out with respect to the device to be controlled, a scheduled day on which to carry out the scheduled action and a scheduled time of day to carry out the scheduled action on the scheduled day; determining a chronological ordering that indicates a chronological order in which at least a subset of the plurality of scheduled actions are scheduled to be carried out; generating a view based at least in part on the chronological ordering; and displaying the generated view. Such methods may be performed or implemented by various devices, apparatuses and/or systems.

A voice notification system is a system that causes a talking device to provide a voice notification of information about a notification target that is an information source device about which information is notified by the talking device or an information source service about which information is notified by the talking device. The system includes: a change detector that detects a change regarding notification details or a change regarding a notification method; and a notifier that causes the talking device to provide a voice notification of information about the change regarding the notification details or the change regarding the notification method when the change regarding the notification details or the change regarding the notification method is detected.

A machine learning method executed by a computer, the method includes distributing a first learning model learned on the basis of a plurality of logs collected from a plurality of electronic devices to each of the plurality of electronic devices, the first learning model outputting operation content for operating an electronic device; when an operation different from an output result of the first learning model is performed by a user relative to a first electronic device among the plurality of electronic devices, estimating a similar log corresponding to a state of the learning model in which the different operation is performed from the plurality of logs; generating a second learning model on the basis of a log obtained by excluding a log of a second electronic device associated with the similar log from among the plurality of logs; and distributing the second learning model to the first electronic device.

Disclosed are a processing method, a device, and a storage medium. The method includes the following operations: obtaining preset information; detecting whether the preset information meets a preset rule; when the preset information meets the preset rule, performing a corresponding device control operation according to a preset strategy, so as to transfer or migrate or duplicate or backup relevant data and/or control functions of the first control center, which can make the use of the first control center and other devices controlled by the first control center more intelligent, convenient and fast.

Embodiments of the present disclosure provide for identification and output of improved predicted operational support data object(s). Embodiments utilize particular data sets and data model implementations to identify and select predicted operational support data object(s) determined as associated with the highest confidence to assist in resolving a particular malfunction affecting a networked device in a dynamic home communications network. Such embodiments enable resolution of the malfunction, utilizing the predicted operational support data object(s), with improved success rates and without requiring performance of additional and/or alternative support processes.