Abstract: Disclosed are embodiments of a method of forming a curved glass article. In the method, a mold having a curved surface is provided. A self-adhesive layer is disposed on the curved surface. A glass sheet is bent into conformity with the curved surface at a temperature less than the glass transition temperature of the glass sheet. The glass sheet includes a first major surface and a second major surface in which the second major surface is opposite to the first major surface. The first major surface is adhered to the self-adhesive layer. A frame is bonded to the second major surface of the glass sheet, and the glass sheet is removed from the self-adhesive layer. A system for performing the method and a mold having a self-adhesive layer are also disclosed.

Abstract: An artificial intelligence (AI) system capable of simulating functions of a human brain, such as recognition and judgment, by using the machine learning algorithm such as deep learning, and an application thereof are provided. A method of learning multi-modal data according to the AI system and an application thereof includes: obtaining first context information representing a characteristic of a first signal and second context information representing a characteristic of a second signal by using a first learning network model; obtaining hidden layer information based on the first context information and the second context information by using a second learning network model; obtaining a correlation value representing a relation degree between the hidden layer information by using the second learning network model; and learning the hidden layer information in which the correlation value is derived as a maximum value.

Abstract: Disclosed are a Filipendula glaberrima alcoholic extract and solvent fractions fractionated therefrom or novel compounds 1 and 2 purely isolated from a Filipendula glaberrima ethyl acetate fraction that have an excellent inhibitory effect against HMG-CoA reductase activity, an excellent antioxidant effect and a remarkably excellent effect of suppressing the formation of foam cells in macrophages. Also, disclosed is a pharmaceutical composition or health food composition for treating, preventing and ameliorating vascular diseases, hypercholesterolemia, or heart diseases caused by hypercholesterolemia, or lowering blood cholesterol levels, containing, as active ingredients, the Filipendula glaberrima alcoholic extract and the solvent fractions or the novel compounds 1 and 2.

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: A method of processing a substrate, with a first major surface of the substrate removably bonded to a first major surface of a first carrier and a second major surface of the substrate removably bonded to a first major surface of a second carrier, includes initiating debonding at a first location of an outer peripheral bonded interface between the substrate and the first carrier to separate a portion of the first carrier from the substrate. The method further includes propagating a first debond front from the first debonded location along a first direction extending away from the first debonded location by sequentially applying a plurality of lifting forces to the first carrier at a corresponding plurality of sequential lifting locations of the first carrier.

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: Provided is a method of executing content, the method including: recognizing an external electronic device connected to an electronic device; determining a type of the content provided from the external electronic device to the electronic device based on a user interface (UI) displayed on a screen of the electronic device, as the external electronic device is recognized; and determining an image quality control mode for the content based on the determined type of the content.

Abstract: Disclosed are a Filipendula glaberrima alcoholic extract and solvent fractions fractionated therefrom or novel compounds 1 and 2 purely isolated from a Filipendula glaberrima ethyl acetate fraction that have an excellent inhibitory effect against HMG-CoA reductase activity, an excellent antioxidant effect and a remarkably excellent effect of suppressing the formation of foam cells in macrophages. Also, disclosed is a pharmaceutical composition or health food composition for treating, preventing and ameliorating vascular diseases, hypercholesterolemia, or heart diseases caused by hypercholesterolemia, or lowering blood cholesterol levels, containing, as active ingredients, the Filipendula glaberrima alcoholic extract and the solvent fractions or the novel compounds 1 and 2.

Abstract: Disclosed are embodiments of a method of forming a curved glass article. In the method, a mold having a curved surface is provided. A self-adhesive layer is disposed on the curved surface. A glass sheet is bent into conformity with the curved surface at a temperature less than the glass transition temperature of the glass sheet. The glass sheet includes a first major surface and a second major surface in which the second major surface is opposite to the first major surface. The first major surface is adhered to the self-adhesive layer. A frame is bonded to the second major surface of the glass sheet, and the glass sheet is removed from the self-adhesive layer. A system for performing the method and a mold having a self-adhesive layer are also disclosed.

Abstract: An artificial intelligence (AI) system capable of simulating functions of a human brain, such as recognition and judgment, by using the machine learning algorithm such as deep learning, and an application thereof are provided. A method of learning multi-modal data according to the AI system and an application thereof includes: obtaining first context information representing a characteristic of a first signal and second context information representing a characteristic of a second signal by using a first learning network model; obtaining hidden layer information based on the first context information and the second context information by using a second learning network model; obtaining a correlation value representing a relation degree between the hidden layer information by using the second learning network model; and learning the hidden layer information in which the correlation value is derived as a maximum value.

Abstract: Provided is a method of executing content, the method including: recognizing an external electronic device connected to an electronic device; determining a type of the content provided from the external electronic device to the electronic device based on a user interface (UI) displayed on a screen of the electronic device, as the external electronic device is recognized; and determining an image quality control mode for the content based on the determined type of the content.

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: An image providing method includes displaying a first image, the first image including an object and a background; receiving a user input selecting the object or the background as a region of interest; acquiring first identification information associated with the region of interest based on first attribute information of the first image; acquiring a second image from a target image, the second image including second identification information, the second identification information being the same as the first identification information; and generating an effect image based on at least one of the first image and the second image.

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 a low-power ultrasound sensor that detects whether an object exists at a high speed, an object detecting method of the ultrasound sensor, and a computer-readable storage medium. The ultrasound sensor may include: a transmitter that outputs a plurality of first ultrasound beams having different frequencies; a receiver that receives a first reflection signal that is output when the output plurality of first ultrasound beams are reflected from an object; and a controller that determines a first area in a space, controls the transmitter to respectively output the plurality of first ultrasound beams to a plurality of first sub-areas that are included in the first area, and determines whether the object is included in each of the plurality of first sub-areas, based on the first reflection signal.

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.