Lg Electronics Inc.

Esther Park

Jonghoon Chae

Suil Choe

Jong Hoon Chae

Su Il Choe

An artificial intelligence laundry drying machine is provided. The artificial intelligence laundry drying machine includes a communication unit configured to receive washing information of a washing machine from the washing machine, a drying unit configured to dry a drying object, and a processor configured to acquire information about a dryness degree of the drying object by using the washing information and perform drying by using the information about the dryness degree.

Artificial intelligence laundry drying machine

Disclosed are a speech recognition device and a speech recognition method which perform speech recognition by executing an artificial intelligence (AI) algorithms and/or a machine learning algorithm installed thereon, to communicate with other electronic devices and an external server in a 5G communication environment. The speech recognition method according to an embodiment of the present disclosure may include converting a series of spoken utterance signals to a text item, extracting a discordant named-entity that is discordant with a parent domain inferred form the text, calculating probabilities of candidate words associated with the discordant named-entity based on calculated distances between a term representing the parent domain and each candidate word associated with the discordant named-entity, and based on the calculated probabilities, modifying the discordant named-entity in the text to one of the candidate words associated with the discordant named-entity.

Method and apparatus for recognizing a voice

An artificial intelligence server for controlling a plurality of robots includes a communication unit and a processor. The communication unit is configured to communicate with the plurality of robots. The processor is configured to receive information including an operation and a deployment area corresponding to each of the plurality of robots, determine a first route corresponding to a first operation corresponding to a first robot among the plurality of robots, if the first operation corresponding to the first robot includes an operation for moving out of a first deployment area corresponding to the first robot, determine an area on the determined first route, in which at least one robot is deployed, determine an associated operation between the first robot and a second robot, wherein the second robot is deployed in the determined area, and update a second operation corresponding to the second robot or a second deployment area corresponding to the second robot, based on the determined associated operation.

Artificial intelligence server for controlling plurality of robots and method for the same

An artificial intelligence server for determining a deployment area of a robot includes a memory and a processor. The memory is configured to store density data for a control area. The processor is configured to obtain a plurality of current context keywords corresponding to a current time point, determine at least one related keyword among the obtained plurality of current context keywords using the density data, and determine the deployment area of the robot based on density data corresponding to the determined related keyword.

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Seoul, South Korea

Esther Park