Abstract:
A dryer is provided, which includes a communicator configured to perform communication with a server that is connected to a network, and a processor configured to receive washing information that is pre-stored in the server from the server and to set a drying course for drying laundry that is put into the dryer based on the washing information.
Abstract:
A display apparatus is provided, including a communicator configured to communicate with an external user terminal apparatus, a gaze tracker configured to track a user's gaze, and a controller configured to determine a position of the user's gaze based on first gaze tracking information acquired by the gaze tracker and second gaze tracking information received from the user terminal apparatus. The controller is further configured to request information regarding an event that has occurred in the user terminal apparatus from the user terminal apparatus based on the determination result.
Abstract:
A light-emitting diode (LED) lighting apparatus includes an exterior member which covers a heat-dissipating member. Therefore, the LED lighting apparatus may be dustproof and waterproof. The shape of the heat-dissipating member may be modified to increase the surface area thereof and thus effectively dissipate heat.
Abstract:
Provided are an AI system for simulating functions such as recognition, determination, and so forth of human brains by using a mechanical learning algorithm like deep learning, or the like, and an application thereof. In particular, according to the AI system and the application thereof, a neural network training method includes obtaining a plurality of first images belonging to a particular category and a plurality of second images for which a category is not specified, training a neural network model for category recognition, based on the plurality of first images belonging to the particular category, recognizing at least one second image corresponding to the particular category among the plurality of second images, by using the trained neural network model, and modifying and refining the trained neural network model based on the recognized at least one second image.
Abstract:
Provided is a method of executing content, the method including: recognizing an external electronic device connected to an electronic device; determining a type of the content provided from the external electronic device to the electronic device based on a user interface (UI) displayed on a screen of the electronic device, as the external electronic device is recognized; and determining an image quality control mode for the content based on the determined type of the content.
Abstract:
Provided are an artificial intelligence (AI) system that simulates functions of a human brain such as recognition and judgment by utilizing a machine learning algorithm such as deep learning, etc., and an application of the AI system. Provided are an AI system and a method of recognizing an object according to the application of the AI system, the method including: obtaining a plurality of pieces of sensor data about the object from a plurality of different types of sensors; converting at least some of the plurality of pieces of sensor data into two-dimensional (2D) sensor data; and recognizing the object by using a previously generated learning network model based on 2D image data obtained from an image sensor, which is one of the plurality of sensors, and the 2D sensor data.
Abstract:
A method, performed by an electronic apparatus, of executing an application, based on a voice input of a user, and the electronic apparatus are provided. The method includes performing voice recognition on the voice command for executing the application, determining a target page among a plurality of pages displayable when the application is executed, based on a result of the voice recognition, generating a virtual input sequence for displaying a second screen corresponding to the target page, instead of a first screen currently displayed, and executing the application in response to the virtual input sequence.
Abstract:
An electronic apparatus is provided. The electronic apparatus includes a memory configured to store content schedule information for each content provider, a transceiver and a processor configured to receive content identification information from an external apparatus and time information regarding a time when the content identification information is obtained through the transceiver, identify a content provider corresponding to the content identification information based on the content identification information, the time information and the content schedule information, obtain content schedule information corresponding to the identified content provider from the memory and provide the content schedule information to the external apparatus.
Abstract:
A device may include a receiver configured to receive messages about first transmission rates provided by cooperation devices configured for device-to-device (D2D) communications in a radio communication system supporting the D2D communications; a determiner configured to determine second transmission rates for the device to suggest to the cooperation devices based on the first transmission rates; and/or a transmitter configured to transmit messages about the second transmission rates to the cooperation devices. The determiner may be further configured to change the second transmission rates until the first transmission rates converge. The determiner may be further configured to determine a final transmission rate suggested to the cooperation devices based on the converged first transmission rates.
Abstract:
A semiconductor device includes a semiconductor substrate including a main chip region and a remaining scribe lane region surrounding the main chip region, a passivation layer on the main chip region, the passivation layer including a plurality of bridge patterns extending from the main chip region in a first direction across the remaining scribe lane region, a plurality of bump pads exposed by the passivation layer on the main chip region, a plurality of dam structures along edges of the main chip region on the remaining scribe lane region, the plurality of bridge patterns arranged on the plurality of dam structures at a first pitch in the first direction, a seed layer on the plurality of bump pads, and bumps on the seed layer.