Lg Electronics Inc.

The Asan Foundation

Vuno, Inc.

Binex Co., Ltd.

Sang Ki Kim

Minjung Kim

Hyun Jun Kim

JungSik Kim

Kyung Seop Ahn

Soungmin Im

Sangki Kim

Sungmin Han

Taehyeong Kim

Siyoung Yang

Yongchul Park

Juyeong Jang

Gyuho Eoh

Minook Kim

Hyoungrock Kim

Sunjin Yu

Sookhyun Yang

Ye Ha Lee

Jinuh Joo

Moonsik Nam

Donghak Lee

Jung Hwan Baek

Ik Hwan Kim

Jin Seong Lee

Kyu Hwan Jung

Se Young Chong

Hee Mang Yoon

Woo Hyun Shim

Yu Sub Sung

A robot may include an input interface configured to obtain an image of a surrounding environment of the robot, and at least one processor configured to rotate the robot in place for localization, and estimate at least one of a position or a pose in a space, based on a plurality of sequential images obtained by the input interface during the rotation of the robot. The position or the pose of the robot may be estimated based on inputting the plurality of sequential images obtained during the rotation of the robot into a trained model based on an artificial neural network. In a 5G environment connected for the Internet of Things, embodiments of the present disclosure may execute an artificial intelligence algorithm and/or a machine learning algorithm.

Localization of robot

Disclosed are a sound source focus method and device in which the sound source focus device, in a 5G communication environment by amplifying and outputting a sound source signal of a user's object of interest extracted from an acoustic signal included in video content by executing a loaded artificial intelligence (AI) algorithm and/or machine learning algorithm. The sound source focus method includes playing video content including a video signal including at least one moving object and the acoustic signal in which sound sources output by the object are mixed, determining the user's object of interest from the video signal, acquiring unique sound source information about the user's object of interest, extracting an actual sound source for the user's object of interest corresponding to the unique sound source information from the acoustic signal, and outputting the actual sound source extracted for the user's object of interest.

Method and device for focusing sound source

Provided are a method and program for computing a bone age using a deep neural network. The method for computing a bone age using a deep neural network, including: receiving an analysis target image that is a specific medical image to compute the bone age; and analyzing the analysis target image by at least one computer using the deep neural network to compute the bone age. According to the present disclosure, since the bone age is computed by accumulating medical images of a specific race (particularly, Korean) and analyzing the same, it is possible to compute an accurate bone age that conforms to race.

Method and program for computing bone age by deep neural network

According to the present invention, disclosed is an electronic device having a three-dimensional display, comprising a sensor obtaining information about a gesture's motion; a three-dimensional display displaying a pointer and/or an object moving in three-dimensional space according to the gesture's motion; and a controller checking applications in execution, determining a movement distance of the pointer and/or the object in proportion to a movement distance of the gesture by taking account of gesture sensitivity selected according to the type of the checked application, and controlling the display to move the pointer and/or the object as much as the determined movement distance.

Electronic device having 3-dimensional display and method of operating thereof

A pharmaceutical composition comprising decursin and its uses as a nephrotoxicity inhibitor, an antineoplastic agent, an antidiabetic agent, and as a cancer-cell differentiation induction agent are disclosed.

Pharmaceutical composition containing decursin

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Seoul, South Korea

Sang Ki Kim