Abstract: A display device including a display panel including a display area including emission areas and a non-emission area adjacent to the emission areas, wherein the display panel includes: a pixel defining layer that includes first openings corresponding to the emission areas and a second opening corresponding to the non-emission area; light emitting elements each including a first electrode, a second electrode, and a light emitting layer disposed between the first electrode and the second electrode, wherein each of the light emitting elements is disposed in a corresponding one of the first openings; and a photovoltaic element including a first cell electrode, a second cell electrode, and an optical photovoltaic layer disposed between the first cell electrode and the second cell electrode, wherein the photovoltaic element is disposed in the second opening.

Abstract: A display device includes a substrate and a plurality of unit pixels disposed on the substrate. Each unit pixel includes a plurality of sub-pixels, a plurality of light sensing pixels, and a plurality of partition wall members. Each of the sub-pixels includes a light emitting element that emits light and a light emitting area from which the light is emitted. Each of the light sensing pixels includes a light receiving element that outputs a sensing signal corresponding to the light and a light receiving area that receives the light. In a plan view, each of the partition wall members surrounds the corresponding light receiving area and overlaps at least some of the sub-pixels.

Abstract: A display device includes a substrate having a first main display area, a second main display area, and a sub-display area positioned between the first main display area and the second main display area; a first driving circuit positioned on the sub-display area of the substrate; a first sub-pixel circuit and a second sub-pixel circuit positioned on respective sides of the first driving circuit in the sub-display area of the substrate; a first sub-light-emitting device connected to the first sub-pixel circuit and overlapping the first driving circuit; and a second sub-light-emitting device connected to the second sub-pixel circuit and overlapping the first driving circuit.

Abstract: A display device includes a display panel including a main area and a sensor area. Sensor devices overlap the sensor area of the display panel in a thickness direction of the display panel. The display panel includes first subpixels, which are disposed in the sensor area, and second subpixels, which are disposed in the main area. The number of transistors of each of the first subpixels is different from the number of transistors of each of the second subpixels.

Abstract: A display device includes a display area which includes a first display area including a plurality of first pixels and a second display area including at least one second pixel and at least one light-transmitting portion, a peripheral area disposed around the display area, a data line including a first portion and a second portion spaced apart from each other in a predetermined direction with the light-transmitting portion therebetween, and a conductive pattern disposed at a different conductive layer from the data line. The conductive pattern includes a first pattern portion including a bypass portion that bypasses a periphery of the second display area in a plan view and disposed in the first display area, and the first pattern portion includes a first end electrically connected to the first portion of the data line and a second end electrically connected to the second portion of the data line.

Abstract: A display device includes: a display panel including a first region including a transmissive part configured to transmit light provided from the outside and a second region not including the transmissive part; and a sensor overlapping with the transmissive part, and configured to obtain electrical information based on information provided from the outside, wherein the display panel includes: a thin film transistor layer including a plurality of transistors; a pixel defining layer defining an emission region of a plurality of pixels; and a light blocking layer on the pixel defining layer, and defining the transmissive part, and wherein the pixel defining layer in the first region covers at least a portion of the thin film transistor layer such that light provided through the transmissive part is blocked.

Abstract: Provided are an apparatus for performing leveling of a person image and an operating method thereof. The method includes: receiving an original person image; selecting an arbitrary latent vector in a latent space; generating a virtual person image based on the latent vector; optimizing the latent vector such that identity similarity between the original person image and the virtual person image increases; manipulating the optimized latent vector; and generating a levelled person image corresponding to the original person image, by using the manipulated latent vector.

Abstract: Provided are an apparatus for performing leveling of a person image and an operating method thereof. The method includes: receiving an original person image; selecting an arbitrary latent vector in a latent space; generating a virtual person image based on the latent vector; optimizing the latent vector such that identity similarity between the original person image and the virtual person image increases; manipulating the optimized latent vector; and generating a levelled person image corresponding to the original person image, by using the manipulated latent vector.

Abstract: The present disclosure provides a liquid metal precursor solution, including: metal precursor particles including metal particles and a polymer film surrounding the metal particles; and a solvent mixed with the metal precursor particles, wherein each of the polymer film and the solvent includes a functional group having electrostatic repulsion force to each other so that the metal precursor particles may be dispersed in the solvent.

Abstract: A method of processing an image by a device obtaining one or more images including captured images of objects in a target space, generating metadata including information about mapping between the one or more images and a three-dimensional (3D) mesh model used to generate a virtual reality (VR) image of the target space, and transmitting the one or more images and the metadata to a terminal.

Abstract: The present disclosure relates to an artificial intelligence (AI) system for simulating functions of a human brain such as cognition and decision-making by using machine learning algorithms such as deep learning, and applications thereof. In particular, the present disclosure provides a method of recognizing an object by using an AI system and its application, including: extracting pieces of first feature information respectively regarding a plurality of images, each image including an object; generating at least one piece of second feature information representing a correlation between the plurality of images by combining together the extracted pieces of first feature information respectively regarding the plurality of images; and recognizing, based on the at least one piece of second feature information, the object included in each of the plurality of images by using a pre-generated learning network model.

Abstract: According to the present disclosure, an artificial intelligence (AI) system and a method of providing content according to an application of the AI system are provided. The method includes: obtaining one or more images included in the content; generating additional content for guiding user information, the additional content corresponding to the one or more images, based on feature information extracted from the one or more images; when receiving a request for reproducing the content, synchronizing the generated additional content with the one or more images; and reproducing the content and the additional content, according to a result of the synchronizing.

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: The present invention relates to a method for preparing a dual-layer magnesium alloy with fluoride and biopolymer coatings, wherein the dual-layer MgF2/PCL coating exhibits improved corrosion resistance as compared to fluoride-coated samples or uncoated Mg samples, and has excellent cell viability, cell adhesion and cell proliferation. Accordingly, the magnesium alloy provided with the dual MgF2/PCL coating layer controls corrosion degradation of conventional orthopedic Mg alloys and exhibits excellent biocompatibility, thus being useful as an implant for fixing bones.

Abstract: A method of processing an image by a device obtaining one or more images including captured images of objects in a target space, generating metadata including information about mapping between the one or more images and a three-dimensional (3D) mesh model used to generate a virtual reality (VR) image of the target space, and transmitting the one or more images and the metadata to a terminal.

Abstract: The present disclosure relates to an artificial intelligence (AI) system for simulating functions of a human brain such as cognition and decision-making by using machine learning algorithms such as deep learning, and applications thereof. In particular, the present disclosure provides a method of recognizing an object by using an AI system and its application, including: extracting pieces of first feature information respectively regarding a plurality of images, each image including an object; generating at least one piece of second feature information representing a correlation between the plurality of images by combining together the extracted pieces of first feature information respectively regarding the plurality of images; and recognizing, based on the at least one piece of second feature information, the object included in each of the plurality of images by using a pre-generated learning network model.

Abstract: According to the present disclosure, an artificial intelligence (AI) system and a method of providing content according to an application of the AI system are provided. The method includes: obtaining one or more images included in the content; generating additional content for guiding user information, the additional content corresponding to the one or more images, based on feature information extracted from the one or more images; when receiving a request for reproducing the content, synchronizing the generated additional content with the one or more images; and reproducing the content and the additional content, according to a result of the synchronizing.

Abstract: A method of processing an image by a device obtaining one or more images including captured images of objects in a target space, generating metadata including information about mapping between the one or more images and a three-dimensional (3D) mesh model used to generate a virtual reality (VR) image of the target space, and transmitting the one or more images and the metadata to a terminal.

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: An artificial intelligence (AI) system and application thereof, where the AI system simulates functions (e.g., recognition and judgment of the human brain) by using a machine learning algorithm like deep learning. In particular, an AI system and a method of providing content based on applications thereof are provided. The method includes obtaining, by an electronic device, a plurality of images included in content; and determining a time point for displaying an advertisement reproduced in synchronization with the content, based on at least one of a type of the content, image characteristics of the plurality of images, and a viewing pattern of a user.