Abstract: A display device prevents cracks from spreading to an active area. The display device includes a substrate including an active area and a non-active area having a bending area, a thin-film transistor disposed in the active area, a light-emitting element disposed in the active area and connected to the thin-film transistor, an encapsulation layer disposed on the light-emitting element, a touch sensor disposed on the encapsulation layer, a touch pad disposed in the non-active area, a first routing line connecting the touch sensor to the touch pad via a second routing line in the bending area, and a crack prevention layer disposed on the second routing line in the bending area. Thus, the crack prevention layer is capable of preventing the occurrence of cracks in the bending area BA, thus preventing cracks from spreading to the active area AA.

Abstract: The present invention relates to an apparatus and method for automatically generating machine reading comprehension training data, and more particularly, to an apparatus and method for automatically generating and managing machine reading comprehension training data based on text semantic analysis. The apparatus for automatically generating machine reading comprehension training data according to the present invention includes a domain selection text collection unit configured to collect pieces of text data according to domains and subjects, a paragraph selection unit configured to select a paragraph using the pieces of collected text data and determine whether questions and correct answers are generatable, and a question and correct answer generation unit configured to generate questions and correct answers from the selected paragraph.

Abstract: Disclosed herein is an earphone module having a speaker capable of reproducing both high- and low-pitched sounds. In an earphone module according to the present invention, two coils and terminal members configured to be electrically connected to the two coils are provided, the two coils and the terminal members are assembled by electrically connecting the two coils and the terminal members to each other, and then the terminal members are connected to an external input circuit through the exposure window of a housing. Accordingly, the manufacturing operation is facilitated and the defect rate is reduced, so that the mass productivity is improved.

Abstract: The present disclosure relates to a plurality of host materials, an organic electroluminescent compound, and an organic electroluminescent device comprising the same. By comprising a specific combination of host compounds and/or an organic electroluminescent compound according to the present disclosure as an organic electroluminescent material, an organic electroluminescent device having low driving voltage and/or high luminous efficiency and/or long lifespan characteristics can be provided.

Abstract: A synapse device, a manufacturing method thereof, and a neuromorphic device including the synapse device are disclosed. The synapse device may include a channel member, a tunnel insulating layer disposed on the channel member, a charge trap layer disposed on the tunnel insulating layer, a blocking insulating layer disposed on the charge trap layer, a gate electrode disposed on the blocking insulating layer, a first terminal and a second terminal respectively connected to first and second regions of the channel member, and first and second conductors respectively bonded to the first and second terminals The charge trap layer may have a multilayer structure including a first trap layer disposed adjacent to the channel member and a second trap layer disposed adjacent to the gate electrode. The first trap layer may have a trap of a shallower level than that of the second trap layer.

Abstract: A method for manufacturing a gas diffusion layer for a fuel cell wherein carbon nanotubes are impregnated into Korean paper, thereby enhancing electroconductivity, and a gas diffusion layer manufactured thereby. The method for manufacturing a gas diffusion layer for a fuel cell which is to manufacture a gas diffusion layer as a constituent member of a unit cell in a fuel cell, includes a support preparation step of preparing a support with Korean paper; a dispersion preparation step of dispersing a carbon substance in a solvent to form a dispersion, a coating step of coating the support with the dispersion, and a thermal treatment step of thermally treating the dispersion-coated support to fix the carbon substance to the support.

Abstract: A semiconductor device includes a first junction-gate field-effect transistor (JFET) having a first pinch-off voltage, and a second JFET having a second pinch-off voltage higher than the first pinch-off voltage. The first JFET includes a first top gate region disposed on a surface of a substrate, a first channel region surrounding the first top gate region, and a first bottom gate region disposed under the first channel region. The second JFET includes a second top gate region disposed on the surface and having a same depth with the first top gate region relative to the surface, a second channel region surrounding the second top gate region and disposed deeper than the first channel region relative to the surface, and a second bottom gate region disposed under the second channel region and being deeper than the first bottom gate region relative to the surface.

Abstract: Disclosed is a data recognition model construction apparatus. The data recognition model construction apparatus includes a video inputter configured to receive a video, an image composition unit configured to, based on a common area included in each of a plurality of images that form at least a portion of the video, generate a composition image by overlaying at least a portion of the plurality of images, a learning data inputter configured to receive the generated composition image, a model learning unit configured to make a data recognition model learn using the generated composition image, and a model storage configured to store the learnt data recognition model.

Abstract: Disclosed are an artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof. The present disclosure provides an electronic device comprising: an input unit for receiving content data; a memory for storing information on the content data; an audio output unit for outputting the content data; and a processor, which acquires a plurality of data keywords by analyzing the inputted content data, matches and stores time stamps, of the content data, respectively corresponding to the plurality of acquired keywords, based on a user command being inputted, searches for a data keyword corresponding to the inputted user command among the stored data keywords, and plays the content data based on the time stamp corresponding to the searched data keyword.

Abstract: Provided is a method of treating an exhaust gas including preparing a rotor provided with a zeolite-carbon composite therein, providing a mixed gas including an organic gas and an alkali gas in the rotor, adsorbing the organic gas and the alkali gas to the zeolite-carbon composite, and desorbing the organic gas and the alkali gas from the zeolite-carbon composite, and the zeolite-carbon composite includes a zeolite and a carbon layer on the zeolite.

Abstract: Disclosed herein is a video search device comprising: at least one processor configured to implement an updating unit generating event object information based on feature information on an object detected in a video; and a storage configured to store comparison object information containing feature information on a reference object, wherein the processor is further configured to implement: an object information generating/deleting unit configured to create information on an object having a predetermined degree of similarity between the event object information and the comparison object information as final object information, and storing the final object information in the storage; and a data searching unit searching the final object information for data that satisfies a search criterion entered by a user.

Abstract: The disclosure relates to an artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof. In particular, an electronic apparatus, a document displaying method thereof, and a non-transitory computer readable recording medium are provided. An electronic apparatus according to an embodiment of the disclosure includes a display unit displaying a document, a microphone receiving a user voice, and a processor configured to acquire at least one topic from contents included in a plurality of pages constituting the document, recognize a voice input through the microphone, match the recognized voice with one of the acquired at least one topic, and control the display unit to display a page including the matched topic.

Abstract: A semiconductor device includes a first junction-gate field-effect transistor (JFET) having a first pinch-off voltage, and a second JFET having a second pinch-off voltage higher than the first pinch-off voltage. The first JFET includes a first top gate region disposed on a surface of a substrate, a first channel region surrounding the first top gate region, and a first bottom gate region disposed under the first channel region. The second JFET includes a second top gate region disposed on the surface and having a same depth with the first top gate region relative to the surface, a second channel region surrounding the second top gate region and disposed deeper than the first channel region relative to the surface, and a second bottom gate region disposed under the second channel region and being deeper than the first bottom gate region relative to the surface.

Abstract: An electronic device, a warning message providing method therefor, and a non-transitory computer-readable recording medium are provided. Disclosed is an artificial intelligence (AI) system using a machine learning algorithm such as deep learning and an application thereof.

Abstract: Disclosed herein is a video search device comprising: at least one processor configured to implement an updating unit generating event object information based on feature information on an object detected in a video; and a storage configured to store comparison object information containing feature information on a reference object, wherein the processor is further configured to implement: an object information generating/deleting unit configured to create information on an object having a predetermined degree of similarity between the event object information and the comparison object information as final object information, and storing the final object information in the storage; and a data searching unit searching the final object information for data that satisfies a search criterion entered by a user.

Abstract: Provided is an Artificial Intelligence (AI) system for simulating a human brain's functions, such as recognition, decision, etc., by using a machine learning algorithm such as deep learning, etc. and applications of the AI system. Provided is an electronic device including: a camera configured to capture an outside image of a vehicle, and a processor configured to execute one or more instructions stored in a memory, wherein the processor executes the one or more instructions to: determine, from the captured image, at least one object for estimating lane information; estimate, from the image, lane information of a road on which the vehicle is traveling, based on a distance between the determined at least one object and the vehicle and a vanishing point of the image; and output guide information for guiding driving of the vehicle based on the estimated lane information.

Abstract: The present disclosure provides a method of manufacturing a semiconductor device includes forming a first gate insulating film on a substrate for a first device, forming a first gate electrode on the first gate insulating film; forming a mask pattern on the first gate electrode to expose opposing end portions of the first gate electrode, wherein a length of the mask pattern is smaller than a length of the first gate electrode; performing ion implantation through the exposed opposing end portions of the first gate electrode using the mask pattern to simultaneously form first and second drift regions in the substrate; forming spacers on sidewalls of the first gate electrode, respectively; and forming a first source region and a first drain region in the first and second drift regions, respectively.

Abstract: The present disclosure provides a method of manufacturing a semiconductor device includes forming a first gate insulating film on a substrate for a first device, forming a first gate electrode on the first gate insulating film; forming a mask pattern on the first gate electrode to expose opposing end portions of the first gate electrode, wherein a length of the mask pattern is smaller than a length of the first gate electrode; performing ion implantation through the exposed opposing end portions of the first gate electrode using the mask pattern to simultaneously form first and second drift regions in the substrate; forming spacers on sidewalls of the first gate electrode, respectively; and forming a first source region and a first drain region in the first and second drift regions, respectively.

Abstract: Disclosed are an artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof. The present disclosure provides an electronic device comprising: an input unit for receiving content data; a memory for storing information on the content data; an audio output unit for outputting the content data; and a processor, which acquires a plurality of data keywords by analyzing the inputted content data, matches and stores time stamps, of the content data, respectively corresponding to the plurality of acquired keywords, based on a user command being inputted, searches for a data keyword corresponding to the inputted user command among the stored data keywords, and plays the content data based on the time stamp corresponding to the searched data keyword.

Abstract: Disclosed are an artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof. The present disclosure provides an electronic device comprising: an input unit for receiving content data; a memory for storing information on the content data; an audio output unit for outputting the content data; and a processor, which acquires a plurality of data keywords by analyzing the inputted content data, matches and stores time stamps, of the content data, respectively corresponding to the plurality of acquired keywords, based on a user command being inputted, searches for a data keyword corresponding to the inputted user command among the stored data keywords, and plays the content data based on the time stamp corresponding to the searched data keyword.