Samsung Electronics Co., Ltd.

Lg Electronics Inc.

Deepbrain Ai Inc.

Doohyun Kim

Sangjo Lee

Daesung Cho

Shihwa Lee

Sangkwon Na

Minseok Kim

Ilhan Park

Geunhyung Lee

Kiwon Yoo

Hyeyun Kim

Seungwoo Han

Kwangsun Baek

Kimo Kim

Kitae Park

Jisu Kim

Wooshik Kim

Jihun Kim

Hyun Jun Yoon

Jaesung Park

Jeongkon Kim

Changyeon Yu

Junyong Park

Minyong Sung

Hoosun Lee

Hyeyeon Chung

Jaehyun Kim

Sungjun Kim

Ki-Tae Park

Dohyung Kim

Hochul Hwang

Hyun-Wook Wook Park

Changkyu Seol

Dmitri Birinov

Donghun Kwak

Hyun Mun Kim

Jinman Han

Dong-Hun Kwak

Kyoungho Bang

Hyungman Park

Taejun Park

BoGeun Kim

Yangsu Kim

Jongryul Kim

Wooseok Kang

Keunwon Jang

Hakhoon Song

Byungyong Choi

Jinbae Bang

Youngjae Shin

Wookghee Hahn

JongSeon Kim

Bomyun Kim

Sangio Lee

Jagannathrao Doddamani

Disclosed are a display apparatus and a method of controlling the same, the display apparatus including: a video decoder configured to decode a video signal; and an artificial intelligence (AI) scaler including a plurality of filters provided to make an output of a certain filter be used as an input of another filter, and configured to control a resolution of an image by processing the decoded video signal, each of the plurality of filters being selectively turned on or off based on a control signal, the filter being turned on processing the video signal based on a parameter set by learning, and the filter being turned off bypassing and outputting the input video signal.

Display apparatus and method of controlling the same using artificial intelligence (AI)

A server including a memory to store video content, a communication interface, and a processor configured to identify a frame of the video content as a plurality of groups which include a plurality of consecutive blocks based on at least one of low-latency encoding in association with the video content and latency setting information, encode the video content by encoding the plurality of consecutive blocks of the plurality of groups, and control the communication interface to transmit the encoded video content and the latency setting information in association with the video content to an electronic device.

Server and control method thereof

Provided is a an electronic device and method of operating same. The electronic device includes: a wireless communication circuit configured to perform wireless communication with an external electronic device; an audio input device; at least one memory storing one or more instructions; and at least one processor operatively connected to the at least one memory and configured to execute the one or more instructions to: obtain first audio data through the audio input device, wherein the first audio data is synthetic data of a first signal received from a first talker and a second signal received from a second talker, and the first talker is closer to the electronic device than the second talker at the time the first audio data is obtained, receive second audio data from the external electronic device through the wireless communication circuit, wherein the second audio data is synthetic data of a third signal and a fourth signal, obtain a latency based on the first audio data and the second audio data, obtain compensated first audio data by compensating for the latency with respect to the second audio data, and obtain processed first audio data by removing the second signal from the compensated first audio data based on the third signal.

Method for processing audio data and electronic device supporting same

In a method of providing a speech video according to an embodiment, a standby state video in which a person in a video is in a standby state is reproduced, a speech state video in which a person in a video is in a speech state based on a source of speech content is generated, the standby state video being reproduced to a reference frame of the standby state video being reproduced based on a back motion image is returned, and a synthesized speech video by synthesizing the returned reference frame and the speech state video is generated.

Method for providing speech video and computing device for executing the method

A memory device for improving the speed of a program operation and an operating method thereof is provided. The memory device includes a memory cell array including a plurality of memory cells, a voltage generator configured to generate voltages for one or more program operations and a verify operation performed on the plurality of memory cells, a control logic configured to perform a control operation on the plurality of memory cells so that a first program and a second program loop are performed, a second program operation being performed based on a compensation voltage level determined based on a result of the first verify operation, and a plurality of bit lines connected to the memory cell array, wherein the first verify operation includes first even sensing and second even sensing on even-numbered bit lines, and first odd sensing and second odd sensing on odd-numbered bit lines.

Memory device for improving speed of program operation and operating method thereof

Display apparatus and method of controlling the same

A computing device according to an embodiment is a computing device that is provided with one or more processors and a memory storing one or more programs executed by the one or more processors, the computing device includes a standby state video generating module that generates a standby state video in which a person in a video is in a standby state, a speech state video generating module that generates a speech state video in which a person in a video is in a speech state based on a source of speech content, and a video reproducing module that reproduces the standby state video, and generates a synthesized speech video by synthesizing the standby state video being reproduced and the speech state video.

In a method of reducing reliability degradation of a nonvolatile memory device, the nonvolatile memory device in which initial data having an initial threshold voltage distribution is stored in a plurality of memory cells connected to a plurality of wordlines is provided. Before a first process causing reliability degradation is performed, a first write operation is performed such that first data having a first threshold voltage distribution is stored into memory cells connected to first wordlines. The first wordlines have a degree of reliability degradation less than a reference value. Before the first process is performed, a second write operation is performed such that second data having a second threshold voltage distribution is stored into memory cells connected to second wordlines. The second wordlines have a degree of reliability degradation greater than or equal to the reference value.

Method of reducing reliability degradation of nonvolatile memory device, nonvolatile memory device using the same and method of testing nonvolatile memory device using the same

An electronic apparatus includes a memory configured to store a plurality of images; and a processor configured to identify qualities of the plurality of images, process the plurality of images using at least one artificial intelligence model corresponding to the identified qualities, and obtain a graphic image including the processed plurality of images, and the at least one artificial intelligence model is trained to increase a quality of an input image.

Electronic apparatus and control method thereof

Disclosed are a nonvolatile memory device and a read method of the nonvolatile memory device. The nonvolatile memory device includes a memory cell array, a row decoder circuit, and a page buffer circuit including first latches and second latches. The page buffer circuit respectively latches first sensing values, which are based on data stored in adjacent memory cells, at the first latches and respectively latches second sensing values, which are based on data stored in selected memory cells, at the second latches at least two times.

Nonvolatile memory device with page buffer circuit supporting read operation of improved reliabilty

An artificial intelligence (AI) processor includes at least one memory; a plurality of neural network operators comprising circuitry configured to process an image; and a controller configured to control the at least one memory and the plurality of neural network operators. The controller controls input image data of an image to be stored in the at least one memory and controls at least one of the plurality of neural network operators to perform a neural network operation on image data split based on a size of the image and data processing capabilities of the plurality of neural network operators, and output upscaled image data.

Artificial intelligence processor and method of performing neural network operation thereof

An electronic apparatus is provided. The electronic apparatus includes: a memory storing information on an artificial intelligence model including a plurality of layers, and a processor configured to acquire an output image based on processing an input image using the artificial intelligence model. The processor is configured to: identify whether a parameter used in any one layer among the plurality of layers is a fixed parameter or a variable parameter, and provide the parameter to a first operation module or a second operation module included in of the artificial intelligence model of the artificial intelligence model any one layer based on the identification and perform an operation between output data of a previous layer and the parameter.

A method of operating a memory controller, the method including performing a state shaping operation on received data based on state shaping information in response to a write request, the received data and the write request being received from a host, the state shaping information representing a memory cell characteristic corresponding to a memory cell group on which the received data is to be programmed, and the state shaping information being received from a memory device, and transmitting transformation data to the memory device, the transformation data being generated through the state shaping operation.

Memory controllers for performing state shaping operation, memory systems including the memory controllers, and methods of operating the same

A clothes treatment apparatus includes a cooling water pipe that is placed within a condensing duct to condense humidity contained in a circulating air current. The latent heat generated from the condensation of humidity causes the temperature of the cooling water in the cooling water pipe to rise. A thermoelectric pump mechanism collects heat from the higher-temperature cooling water and uses it in heating the circulating air.

Clothes treatment apparatus

Growing community of inventors

Seoul, South Korea

Doohyun Kim