Samsung Electronics Co., Ltd.

Samsung Sdi Co., Inc.

Sungkyunkwan University

Samsung Display Co., Ltd.

Jiwhan Kim

Seungyeon Kwak

Hyeonho Choi

Yoonhyun Kwak

Sunghun Lee

Kyuyoung Hwang

Sangdong Kim

Ohyun Kwon

Hyun Woo Koo

Jongwon Choi

Sunyoung Lee

Sungjun Kim

Byoungki Choi

Jungin Lee

Seokhwan Hong

Sukekazu Aratani

Sangyeob Lee

Kum Hee Lee

Kyuhong Kim

Banglin Lee

Sungun Park

Jaejoon Han

Soonok Jeon

Jiyoun Lee

Deukseok Chung

Jongsoo Kim

Joonghyuk Kim

Yongsuk Cho

Whail Choi

Taegon Kim

Sungho Nam

Kumhee Lee

Jong Soo Kim

Soyeon Kim

Sangho Park

Sungjoo Suh

Aram Jeon

Sooghang Ihn

Hyesung Choi

Yusuke Maruyama

Wataru Sotoyama

Juhyun Kim

Sangmo Kim

Yongsik Jung

Yeonsook Chung

Myungsun Sim

Dalho Huh

Hosuk Kang

Eunsuk Kwon

Dmitry Androsov

Eunkyung Lee

Hyejin Bae

Chul Baik

Bumwoo Park

Minsik Min

Hwayoung Cho

Hasup Lee

Youngki Hong

Youngmok Son

Mitsunori Ito

Jun Chwae

Daeyoung Chung

Kiho Cho

Jeoungin Yi

Hyungsun Kim

Sung-Jae Cho

Yuri Cho

Shinae Jun

Shingo Ishihara

Jaeyun Lee

Junyeob Lee

Halim Lee

Sunggyu Kang

Geuntae Bae

Kyeongsik Ju

Kyunghyung Lee

Sunghyun Jung

Byoungki Cho

Joonghee Won

A display apparatus including a substrate including at least one blue light-emitting unit, and a color control portion provided on the substrate and configured to control a color of a light generated at the substrate, wherein the color control portion includes a first color control element, wherein the first color control element includes a first quantum dot for a green color conversion, the at least one blue light-emitting unit includes an emission layer, wherein the emission layer includes a host, a first dopant, and a second dopant, and wherein the display apparatus further satisfies conditions as defined herein.

Display apparatus and electronic apparatus including the same

An organometallic compound represented by Formula 1:

Organometallic compound, organic light-emitting device including the same, and diagnostic composition including the organometallic compound

Disclosed are an organometallic compound represented by Formula 1, an organic light-emitting device including the same, and an electronic device including the organic light-emitting device: The detailed description of Formula 1 is the same as described in the present specification.

Organometallic compound, organic light-emitting device including the same, and electronic apparatus including the organic light-emitting device

A method with biometric information spoof detection includes extracting an embedding vector from an intermediate layer of a neural network configured to detect whether biometric information of a user is spoofed from an image including the biometric information; detecting first information regarding whether the biometric information is spoofed, based on the embedding vector; and detecting second information regarding whether the biometric information is spoofed based on whether the first information is detected, using an output vector output from an output layer of the neural network.

Method and apparatus with biometric information spoof detection

A display apparatus includes an organic light-emitting device (OLED) substrate, a color control layer; a first optical layer to which the generated light of the organic light-emitting substrate is incident and from which wavelength range light is provided to the color control layer; and a second optical layer to which the wavelength-converted light of the color control layer is incident and from which display light is provided for displaying an image The first optical layer partially transmits and partially reflects light of a first wavelength range, and reflects light of a second wavelength range and light of a third wavelength range each different from the first wavelength range. The second optical layer reflects light of the first wavelength range, and transmits each of light of the second wavelength range and light of the third wavelength range.

Display apparatus

A processor-implemented method with input data classification includes: extracting an input embedding vector including a feature of biometric information of a user from input data including the biometric information; determining an adaptive embedding vector adaptive to the input embedding vector, based on a combination of a plurality of enrollment embedding vectors that are based on enrollment data; and classifying the input data based on a similarity between the input embedding vector and the adaptive embedding vector.

Method and apparatus with input data classification

Provided are a composition and an organic light-emitting device including the same, wherein the composition includes a platinum-containing organometallic compound, a first compound, a second compound, and a third compound.

Composition and organic light-emitting device including the same

An image processing method includes extracting a first region in a first image by inputting the first image to a pretrained neural network, upscaling a resolution of the first region by performing neural network-based super resolution processing on the first region, and upscaling a resolution of a second region in the first image from which the first region is excluded by performing interpolation on the second region.

Image processing apparatus and method

A method and apparatus with spoofing consideration is provided. The method includes implementing convolution block(s) of a machine learning model that determines whether biometric information in an input image is spoofed, including generating a feature map including channels for an input feature map for the input image using convolution layers of a convolution block of the convolution block(s), in response to a total number of input channels of the convolution block and a total number of output channels of the convolution block being different, matching the total number of input channels of the convolution block and the total number of output channels of the convolution block by adding a zero-padding channel to the input feature map using a skip connection structure, and generating output data for determining whether the biometric information is spoofed, dependent on the generated feature map and a result of the skip connection structure.

Method and apparatus with biometric spoofing consideration

An organic light-emitting device including a first electrode, a second electrode facing the first electrode, and an organic layer disposed between the first electrode and the second electrode, wherein the organic layer includes an emission layer and an intermediate layer disposed between the first electrode and the emission layer, wherein the intermediate layer directly contacts the emission layer, and wherein the intermediate layer includes a first hole transport material, wherein the emission layer includes a host and a dopant, wherein the dopant is an organometallic compound, provided that the dopant does not comprise iridium, and wherein the organic light-emitting device satisfies certain parameters described in the specification.

Organic light-emitting device

Provided is an organic light-emitting device including an emission layer that includes a host, a sensitizer, and an emitter.

Provided is an organic light-emitting device including an emission layer including a first compound, a second compound, a third compound, and a fourth compound, each satisfying a certain condition.

An organometallic compound represented by Formula 1: wherein, in Formula 1, groups and variables are the same as described in the specification.

An organometallic compound represented by Formula 1:M(L)(L)&#x2003;&#x2003;Formula 1wherein M, L, L, n1, and n2 are the same as described in the specification.

Organometallic compound, organic light-emitting device including the organometallic compound, and diagnostic composition including the organometallic compound

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Seoul, South Korea

Jiwhan Kim