Samsung Electronics Co., Ltd.

Hyundai Motor Company

Kia Motors Corporation

Db Hitek Co., Ltd.

Hyundai Mobis Co., Ltd.

Kt Corporation

Noroobee Chemical Co., Ltd.

Young-Seok Kim

Junhwi Choi

Jeong-Hoon Park

Jeong-Jae Won

Jehun Jeon

Yun-Je Oh

Kyoung-Gu Woo

Sang Hyun Yoo

Seongmin Ok

Min-Hyo Lee

Yong-Woo Hyung

Jong-Sun Peak

Eui-Seok Hwang

Jung-Hwan Kim

Woong Hee Lee

Hoon Mo Park

Tae-Sung Park

Tae-sung Park

Hun-Hyeoung Leam

Young-sub You

Sung-Koog Oh

Xiaoyu Liu

Su-Hyung Kim

Sanghyun Yoo

Yeong-Cheol Lee

Man-Sug Kang

Jai-Dong Lee

Kyung-sub Min

Ki-Su Na

Su-won Lee

Whan-Jin Sung

Hee-Gyu Jin

Jae-Young Ahn

Jun Hwi Choi

Je Hun Jeon

Hyojin Lee

Jae-Ho Lee

Sung-jin Park

Hyun Jung Kim

Jae-Young Kim

Jin-Hee Kim

Jun-ho Koh

Han-jin Lim

Jae-young Ahn

Young-Il Kim

Jin-Gyun Kim

Bock Cheol Lee

Hyon-Goo Kang

Hwidong Na

Sung-Jae Lee

Jong-Ho Bang

Hong-suk Kim

Sung-Min Hong

Min-Joong Lee

Young-Nam Kim

Ki-Yong Kim

Shin-Hee Won

Jeon-Il Lee

Do-In Choi

Hong Sik Chang

Jong-hun Lee

SungHyun Kim

Hee-Seok Kim

Se-Kang Park

Won-Seok Yoo

Su-hyun Kim

Kwan-Lae Kim

Sang-Ryol Yang

Hyung-Suk Cho

Ju-Wan Lim

Kie-Youn Jeong

Sung-Hae Lee

In-Sun Kang

Jong-Sang Oh

Soon-Ho Jang

Hak-Phil Lee

Eun-Ok Jo

Seok-Hyun Kim

Young-Don Chung

Woo-Hyung Chun

Ho-Tak Jeon

Sun-Jin Kang

Kug Shin

Seon-Ho Jang

Vadapalli Murahari

Bu-Dl Yoo

Ho-Il Oh

Young-Chon Kim

Hyuk-Gyu Park

Kye-Hyun Ahn

Kyeong-Eun Han

Do-Young Joung

Jun-Sung An

Yoon-Jin Ku

Jin-Tae No

Man-Sung Kang

Soon-Joon Jung

Young-Hun Choi

Dae-Geun Oh

Jae-Beom Ahn

Disclosed is an operation method of a neural network including a first network and a second network, the method including acquiring state information output from the first network based on input information, determining whether the state information satisfies a condition using the second network, iteratively applying the state information to the first network in response to determining that the state information does not satisfy the condition, and outputting the state information in response to determining that the state information satisfy the condition.

Operating method and training method of neural network and neural network thereof

An operation method of a dialog agent includes obtaining an utterance history including at least one of an outgoing utterance to be transmitted to request a service or at least one of an incoming utterance to be received to request the service, updating a requirement specification including items requested for the service based on the utterance history, generating utterance information to be used to request the service based on the updated requirement specification, and outputting the generated utterance information.

Operation method of dialog agent and apparatus thereof

A word embedding method and apparatus and a word search method are provided, wherein the word embedding method includes training a word embedding model based on characteristic information of a chemical substance, and acquiring an embedding vector of a word representing the chemical substance from the word embedding model, wherein the word embedding model is configured to predict a context word of an input word.

Word embedding method and apparatus, and word search method

The present disclosure relates to an insulated gate bipolar transistor (IGBT) and, more particularly, to an insulated gate bipolar transistor, in which a barrier region is in a mesa between adjacent trench gates to divide the width of the mesa, thereby inducing the accumulation of hole carriers, and thus reducing an on-resistance (e.g., of the IGBT).

Insulated gate bipolar transistor and method of manufacturing same

An electronic device and an method of the electronic device are provided, where the electronic device maintains a context that does not reflect a request for a secret conversation, in response to the request for the secret conversation being received from a first user, and generates a response signal to a voice signal of a second user based on the maintained context, in response to an end of the secret conversation with the first user.

Electronic device and method for conducting dialog

The present invention relates to an insulated gate bipolar transistor (IGBT) and, more particularly, to an insulated gate bipolar transistor that has multiple mesas having different widths, configured to promote the buildup and accumulation of hole carriers, thereby facilitating relatively easy subsequent processing, while maximizing conductivity modulation.

A processor-implemented classification method includes: determining a first probability vector including a first probability, for each of a plurality of classes, resulting from a classification of an input with respect to the classes; determining, based on the determined first probability vector, whether one or more of the classes represented in the first probability vector are confusing classes; adjusting, in response to one or more of the classes being the confusing classes, the determined first probability vector based on a first probability of each of the confusing classes and a maximum value of the first probabilities; determining a second probability vector including a second probability, for each of the classes, resulting from another classification of the input with respect to the classes; and performing classification on the input based on a result of a comparison between the determined second probability vector and the adjusted first probability vector.

Apparatus and method with classification

Provided is a processor-implemented method of generating a natural language, the method including generating a latent variable from an embedding vector that corresponds to an input utterance, determining attention information related to the input utterance by applying the generated latent variable to a neural network model, and outputting a natural language response that corresponds to the input utterance based on the calculated attention information.

Method and apparatus with natural language generation

An out-of-service (OOS) sentence generating method includes: training models based on a target utterance template of a target service and a target sentence generated from the target utterance template; generating a similar utterance template that is similar to the target utterance template based on a trained model, among the trained models, and a sentence generated from an utterance template of another service; and generating a similar sentence that is similar to the target sentence based on another trained model, among the trained models, and the similar utterance template.

OOS sentence generating method and apparatus

Provided are a method for transreceiving a beam reference signal or a beam refinement reference signal and transreceiving feedback information for same between a terminal and a base station in an ultra-high frequency mobile communication system, and to an apparatus for same. The method may include identifying a preferable symbol based on reference signal received power or reference signal received quality in a subframe in which the beam reference signal is received and transmitting radio resource management information or channel status information for an antenna port or an antenna array to the base station with respect to the preferable symbol.

Method for ultra-high frequency mobile communication system transreceiving reference signal and feedback and apparatus for same

A computing system includes a processor that operates a plurality of virtual machines in which a plurality of operating systems are respectively executed. The processor executes a hypervisor that groups the plurality of virtual machines into a normal virtual machine group and a privilege virtual machine group, and that controls hardware accesses requested by the normal virtual machine group and the privilege virtual machine group. The processor executes a normal application in the normal virtual machine group, and executes a secure application in the privilege virtual machine group.

Computing system for securely executing a secure application in a rich execution environment

A semiconductor device includes a bit line structure on a substrate, the bit line structure having a polysilicon layer pattern doped with impurities, and a metal layer pattern on the polysilicon layer pattern, a first spacer surrounding and contacting a sidewall of the bit line structure, the first spacer having a constant thickness, and a capacitor contact structure on the substrate, an air gap being defined between the capacitor contact structure and the first spacer.

Semiconductor device

The present invention prevents performance degradation caused by a multiplication frequency of a memory clock in a wireless communication system by changing a frequency of the memory clock so that a multiplication frequency is not sufficiently close to a transmission/reception frequency that will cause noise or interference with a data transmission/reception. A communication apparatus according to the present invention includes a controller comprising at least one processor; and a memory for operating at a clock provided from the controller. The controller checks a communication frequency, determines whether the communication frequency is a value in a range of interference from a multiplication frequency of a memory clock frequency, and changes the memory clock frequency.

Apparatus and method for controlling memory clock frequency in wireless communication system

Growing community of inventors

Seoul, South Korea

Young-Seok Kim