Abstract: A home appliance is provided. The home appliance includes a sensor, a microphone, a speaker, and a processor. The processor is configured to, based on one of a first event wherein a user action is detected through the sensor or a second event wherein a trigger command for initiating a voice recognition mode is input through the microphone occurring, operate in the voice recognition mode, and control the speaker to output an audio signal corresponding to the event occurred, and the audio signal is an audio signal set differently for each of the first event and the second event.

Abstract: A home appliance is provided. The home appliance includes a sensor, a microphone, a speaker, and a processor. The processor is configured to, based on one of a first event wherein a user action is detected through the sensor or a second event wherein a trigger command for initiating a voice recognition mode is input through the microphone occurring, operate in the voice recognition mode, and control the speaker to output an audio signal corresponding to the event occurred, and the audio signal is an audio signal set differently for each of the first event and the second event.

Abstract: An air conditioner is provided. The air conditioner includes a display, a storage configured to store power consumption information and time information which are required to increase or decrease an indoor temperature by a unit temperature according to an outdoor temperature, a sensor, and a processor configured to predict, based on a desired temperature being input, at least one of a power consumption or a required time for the indoor temperature to reach the desired temperature by the sensor based on information stored in the storage, and provide at least one of the predicted power consumption or the required time through the display.

Abstract: An electronic apparatus and a control method are provided. The electronic apparatus includes a transceiver, a memory configured to store an artificial intelligence (AI) model, and a processor configured to control the transceiver to receive environment information from at least one of a plurality of devices that are connected to the electronic apparatus, determine that a predicted device of the plurality of devices will lose a network connection based on the first AI model and the environment information, and in response to determining the predicted device will lose the network connection, maintain the network connection of the predicted device through another device of the plurality of devices. The electronic apparatus may use a rule-based model or an AI model trained by using at least one of a machine learning algorithm, a neural network algorithm, or a deep-learning algorithm.

Abstract: A home appliance is provided. The home appliance includes a sensor, a microphone, a speaker, and a processor. The processor is configured to, based on one of a first event wherein a user action is detected through the sensor or a second event wherein a trigger command for initiating a voice recognition mode is input through the microphone occurring, operate in the voice recognition mode, and control the speaker to output an audio signal corresponding to the event occurred, and the audio signal is an audio signal set differently for each of the first event and the second event.

Abstract: The present disclosure provides an air conditioner and a control method thereof. The control method of the air conditioner is capable of acquiring a voice of a user including a state of the user, transmitting the voice of the user to an external server, receiving, from the external server, a control command acquired by using a cooling tendency of the user and the state of the user determined on the basis of a usage history of the air conditioner, and controlling the air conditioner on the basis of the control command. In particular, at least a part of a method of acquiring a control command on the basis of a cooling tendency of a user may use an artificial intelligence model trained according to at least one of machine learning, a neural network, and deep learning algorithms.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a microphone, a transceiver, a memory configured to store a control command identification tool based on a control command identified by a voice recognition server that performs voice recognition processing on a user voice received from the electronic apparatus, and at least one processor configured to, based on the user voice being received through the microphone, acquire user intention information by performing the voice recognition processing on the received user voice, receive status information of external devices related to the acquired user intention information from a device control server, identify a control command for controlling a device to be controlled among the plurality of external devices by applying the acquired user intention information and the received status information of the external devices to the control command identification tool, and transmit the identified control command to the device control server.

Abstract: The present disclosure provides an air conditioner and a control method thereof. The control method of the air conditioner is capable of acquiring a voice of a user including a state of the user, transmitting the voice of the user to an external server, receiving, from the external server, a control command acquired by using a cooling tendency of the user and the state of the user determined on the basis of a usage history of the air conditioner, and controlling the air conditioner on the basis of the control command. In particular, at least a part of a method of acquiring a control command on the basis of a cooling tendency of a user may use an artificial intelligence model trained according to at least one of machine learning, a neural network, and deep learning algorithms.

Abstract: The present disclosure provides an air conditioning apparatus and a method for controlling same. The method for controlling an air conditioning apparatus comprises the steps of: the air conditioning apparatus receiving, from an external server, user sleep information acquired on the basis of data on time for which the air conditioning apparatus is operated in a sleep cooling mode used during the user's sleep; and operating in the cooling mode on the basis of the user sleep information. Specifically, at least part of an operation for acquiring the user sleep information on the basis of the user's control command may use an artificial intelligence model obtained by learning according to at least one of a machine learning, a neural network, and a deep learning algorithm.

Abstract: A home appliance is provided. The home appliance includes a sensor, a microphone, a speaker, and a processor. The processor is configured to, based on one of a first event wherein a user action is detected through the sensor or a second event wherein a trigger command for initiating a voice recognition mode is input through the microphone occurring, operate in the voice recognition mode, and control the speaker to output an audio signal corresponding to the event occurred, and the audio signal is an audio signal set differently for each of the first event and the second event.

Abstract: A home appliance is provided. The home appliance includes a sensor, a microphone, a speaker, and a processor. The processor is configured to, based on one of a first event wherein a user action is detected through the sensor or a second event wherein a trigger command for initiating a voice recognition mode is input through the microphone occurring, operate in the voice recognition mode, and control the speaker to output an audio signal corresponding to the event occurred, and the audio signal is an audio signal set differently for each of the first event and the second event.

Abstract: A computing problem management method, system, and non-transitory computer readable medium, include detecting an impending problem of the computing system, spawning a plurality of replicas when detecting the impending problem, introducing a plurality of new impending problems on the plurality of replicas for the launching to launch versions of an action to resolve, and learning a version that resolves each of the plurality of new impending problems.

Abstract: A home appliance is provided. The home appliance includes a sensor, a microphone, a speaker, and a processor. The processor is configured to, based on one of a first event wherein a user action is detected through the sensor or a second event wherein a trigger command for initiating a voice recognition mode is input through the microphone occurring, operate in the voice recognition mode, and control the speaker to output an audio signal corresponding to the event occurred, and the audio signal is an audio signal set differently for each of the first event and the second event.

Abstract: The present disclosure provides an air conditioner and a control method thereof. The control method of the air conditioner is capable of acquiring a voice of a user including a state of the user, transmitting the voice of the user to an external server, receiving, from the external server, a control command acquired by using a cooling tendency of the user and the state of the user determined on the basis of a usage history of the air conditioner, and controlling the air conditioner on the basis of the control command. In particular, at least a part of a method of acquiring a control command on the basis of a cooling tendency of a user may use an artificial intelligence model trained according to at least one of machine learning, a neural network, and deep learning algorithms.

Abstract: A processor-implemented method, system, and/or computer program product improves operation of a computer. One or more processors receive a question from a user of a computer, which requests a solution to improve operations of the computer. Based on an interpretation derived from the context of the request, the processor(s) retrieve multiple child solution instances to the question, where the multiple child solution instances are derived from a parent solution instance. The processor(s) direct the computer to simultaneously display the multiple child solution instances on the computer, and then receive a selected child solution instance from the user. In response to receiving the selected child solution instance, the processor(s): discard other solution instances from the multiple child solution instances; designate the selected child solution instance as a primary solution instance; and store the primary solution instance. The processor(s) then direct execution of the primary solution instance.

Abstract: A music practice feedback system, includes a processor; and a memory storing instructions that cause the processor to perform, forecasting an ability to retain playing skills of a sheet music by a user via machine learning and changing a display of the sheet music based on the forecasted ability.

Abstract: An electronic apparatus and a control method are provided. The electronic apparatus includes a transceiver, a memory configured to store an artificial intelligence (AI) model, and a processor configured to control the transceiver to receive environment information from at least one of a plurality of devices that are connected to the electronic apparatus, determine that a predicted device of the plurality of devices will lose a network connection based on the first AI model and the environment information, and in response to determining the predicted device will lose the network connection, maintain the network connection of the predicted device through another device of the plurality of devices. The electronic apparatus may use a rule-based model or an AI model trained by using at least one of a machine learning algorithm, a neural network algorithm, or a deep-learning algorithm.

Abstract: A server is provided. The server includes a communication device configured to receive operation information from an air conditioner, a memory configured to store information of a plurality of groups and a cooling capacity prediction model for predicting a cooling capacity that corresponds to each of the plurality of groups, and a processor to map the air conditioner to one group among the plurality of groups based on the received operation information, and control the communication device to enable the air conditioner to use the cooling capacity prediction model corresponding to the mapped group.

Abstract: The present disclosure provides an air conditioning apparatus and a method for controlling same. The method for controlling an air conditioning apparatus comprises the steps of: the air conditioning apparatus receiving, from an external server, user sleep information acquired on the basis of data on time for which the air conditioning apparatus is operated in a sleep cooling mode used during the user's sleep; and operating in the cooling mode on the basis of the user sleep information. Specifically, at least part of an operation for acquiring the user sleep information on the basis of the user's control command may use an artificial intelligence model obtained by learning according to at least one of a machine learning, a neural network, and a deep learning algorithm.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a microphone, a transceiver, a memory configured to store a control command identification tool based on a control command identified by a voice recognition server that performs voice recognition processing on a user voice received from the electronic apparatus, and at least one processor configured to, based on the user voice being received through the microphone, acquire user intention information by performing the voice recognition processing on the received user voice, receive status information of external devices related to the acquired user intention information from a device control server, identify a control command for controlling a device to be controlled among the plurality of external devices by applying the acquired user intention information and the received status information of the external devices to the control command identification tool, and transmit the identified control command to the device control server.