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.

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 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 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: 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: 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: 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: 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: 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 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: 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: A cathode for an all solid-state lithium sulfur battery includes a porous conductive material, which is manufactured from a precursor containing sulfur, and contains the sulfur in a backbone and a sulfur active material, which is injected into pores of the porous conductive material.

Abstract: The present invention relates to a power saving safety helmet capable of wireless communication, and a wireless transmission and reception method therefor, and the power saving safety helmet capable of wireless communication comprises: a voice input unit for receiving a voice input from a user; a sensor unit sensing whether an accident involving the user has occurred so as to generate an accident sensing signal; a wireless communication unit for intermittently transmitting and receiving, by using frequency channels different from each other, a voice signal and an emergency signal generated by the voice and the accident sensing signal or transmitted from the outside; a sound output unit for outputting a voice and a beep sound corresponding to the voice signal and the emergency signal transmitted from the outside; and a control unit for controlling the beep sound so as to be outputted at output time intervals which are set to be different according to the reception strength of the received emergency signal.

Abstract: A content processing apparatus and method is provided, in which content input by a user is processed by determining whether transmission of the content corresponds to an abnormal pattern when a relation between the user and the other party is taken into account, and for automatically adjusting a permissible level by learning whether the content is an abnormal pattern based on the user's response. The content processing apparatus can estimate whether the content corresponds to an abnormal pattern by using a rule-based algorithm or an artificial intelligence (AI) algorithm when determining whether the content corresponds to the abnormal pattern. When determining whether the content corresponds to the abnormal pattern is estimated using the AI algorithm, the content processing apparatus can use machine learning, a neural network algorithm, or a deep learning algorithm.

Abstract: A rechargeable battery according to an exemplary embodiment includes: an electrode assembly charging and discharging a current; and a pouch case receiving the electrode assembly and formed with a joint part on a border, wherein the joint part includes a plurality of pressing parts pressing the pouch case to be joined and formed with a non-pressure part in each center thereof.

Abstract: A method of controlling a surveillance system having a visible imaging camera for obtaining a visible image of an object and a display apparatus, includes providing a color visible image, from the visible imaging camera, to the display apparatus and generating a color background image by extracting a background area from the color visible image when a current ambient illuminance belongs to a daytime illuminance range, and replacing a background area of a black and white visible image, from the visible imaging camera, with the color background image and providing a mixed image as a result of the replacement to the display apparatus when the current illuminance belongs to the nighttime illuminance range.

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: An electronic device for controlling an industrial communication device may include: a near field communication module; a main communication module; and a control unit configured to confirm one or more contacts connected to a conversation group of a messenger application when a voice signal corresponding to a first voice is received from an industrial communication device paired through the near field communication module, and transmit a voice message corresponding to the first voice to the corresponding device or devices of the confirmed contact or contacts using the main communication module.

Abstract: Provided herein is a negative active material including an ordered porous manganese oxide, wherein pores of the ordered porous manganese oxide have a bimodal size distribution. Provided herein is a method of preparing a negative active material that includes the ordered porous manganese oxide. The invention also includes a negative electrode which includes the negative active material and a lithium battery which includes the negative electrode.