Abstract: A pouch-type battery cell includes an electrode assembly configured such that positive electrode plates and negative electrode plates are repeatedly arranged to face each other with a separator interposed therebetween; an exterior pouch case configured to store the electrode assembly to be sealed; and electrode leads connected to a bundle of electrode tabs extending from the electrode assembly inside the exterior pouch case and protruding to the outside of the exterior pouch case. The electrode leads include a first electrode lead and a second electrode lead that face each other, extend in the same direction, and have the same polarity. A rupture sealing member is provided between the first electrode lead and the second electrode lead such that one side thereof is bonded to the first electrode lead and the other side is bonded to the second electrode lead.

Abstract: Provided is a battery pack and a vehicle including the same. A battery pack according to an embodiment of the present disclosure includes a plurality of pouch-type battery cells, a pack case having an inner space in which the plurality of pouch-type battery cells are accommodated, and a plurality of cell covers provided in the inner space of the pack case to at least partially surround at least some of the plurality of pouch-type battery cells, each of the plurality of cell covers being each to have a dimension that is changeable in a width direction.

Abstract: A battery module may be configured to include a frame providing an interior space; a plurality of battery cells accommodated inside the frame and disposed in the left-right direction; a bus bar frame assembly located in front of the plurality of battery cells and electrically connected to the plurality of battery cells; and a barrier disposed between the plurality of battery cells and configured such that a front edge is covered by a fire-resistant coating portion.

Abstract: A battery pack according to the present disclosure includes a plurality of pouch-type battery cells, a pack case for storing the pouch-type battery cells in the inner space, and a cell cover configured to at least partially surround the exterior of at least a first battery cell and a second battery cell. The first and second battery cells can be adjacent to each other in the inner space of the pack case. The cell cover can includes a partition cover unit, a first side cover unit, a second side cover unit, an upper cover unit, and a lower cover unit.

Abstract: Provided are a battery cell unit, and a battery pack and a vehicle including the same. A battery cell unit according to an embodiment of the present disclosure includes a pouch-type battery cell, and a cell cover provided to at least partially surround the pouch-type battery cell, wherein the cell cover is configured to be spaced apart from the pouch-type battery cell and includes a particle pocket portion configured to collect particles ejected from the pouch-type battery cell when a thermal event occurs.

Abstract: A battery pack and a method of manufacturing the same are provided. The battery pack includes a battery module in which a drain hole is formed in a bottom surface thereof, a plate disposed on a top surface of the battery module, a heat dissipation body provided between the battery module and the plate, and a blocking part provided between the battery module and the plate to prevent the heat dissipation body from being introduced into the drain hole.

Abstract: Disclosed is an operation method of a neural network including a first network and a second network, the method including acquiring state information output from the first network based on input information, determining whether the state information satisfies a condition using the second network, iteratively applying the state information to the first network in response to determining that the state information does not satisfy the condition, and outputting the state information in response to determining that the state information satisfy the condition.

Abstract: Provided are a method and apparatus for correcting a colored image. The method of correcting a colored image includes obtaining a colored image by inputting a sketch image to a first artificial neural network, receiving user input data for a target area in the colored image, and obtaining a corrected image in which a color state of the target area has been changed, by inputting the sketch image and the user input data to a second artificial neural network.

Abstract: The present invention relates to an apparatus for determining a cell culturing condition and a method of operating the same. The method includes acquiring a first quality attribute and a first influence variable at a first point in time from a cell culture medium, acquiring a first injection variable, applying at least one of the first quality attribute, the first influence variable, and the first injection variable to a culture simulation model and acquiring a second quality attribute and a second influence variable at a second point in time, and selectively changing the first injection variables so that the second quality attribute meets a predetermined condition.

Abstract: A processor-implemented method includes performing speech recognition of a speech signal, generating a plurality of first candidate sentences as a result of the performing of the speech recognition, identifying a respective named entity in each of the plurality of first candidate sentences, determining a standard expression corresponding to the identified respective named entity using phonemes of the corresponding named entity, determining whether to replace the identified named entity in each of the plurality of first candidate sentences with the determined standard expression based on a similarity between the named entity and the standard expression corresponding to the named entity and determining a plurality of second candidate sentences based on the determination result; and outputting a final sentence selected from the plurality of second candidate sentences.

Abstract: An operation method of a dialog agent includes obtaining an utterance history including at least one of an outgoing utterance to be transmitted to request a service or at least one of an incoming utterance to be received to request the service, updating a requirement specification including items requested for the service based on the utterance history, generating utterance information to be used to request the service based on the updated requirement specification, and outputting the generated utterance information.

Abstract: The present invention relates to a chitosan-titanium composite, a preparation method and use thereof, and more particularly, a chitosan-titanium composite capable of effectively adsorbing and desorbing 68Ge/68Ga by combining small molecular chitosan with titanium metal oxide to increase adsorption reactivity to 68Ge and 68Ga desorption reactivity, and a preparation method and use thereof.

Abstract: A method and apparatus with natural language processing is disclosed. The method includes determining a first similarity between an input sentence of a user and a select first database query sentence and dependent on a determination that the first similarity fails to meet a first threshold, determining a second similarity between a portion of the input sentence, less than all of the input sentence, and a select second database query sentence, and in response to the second similarity meeting a second threshold, outputting a response sentence corresponding to the second database query sentence as a response to the input sentence.

Abstract: A processor-implemented speech recognition method includes: applying, to an input layer of a neural network, a frame of a speech sequence; obtaining an output of a hidden layer of the neural network corresponding to the frame; calculating a statistical value of at least one previous output of the hidden layer corresponding to at least one previous frame of the speech sequence; normalizing the output based on the statistical value; applying the normalized output to a subsequent layer of the neural network; and recognizing the speech sequence based on the applying of the normalized output.

Abstract: An electronic device and an method of the electronic device are provided, where the electronic device maintains a context that does not reflect a request for a secret conversation, in response to the request for the secret conversation being received from a first user, and generates a response signal to a voice signal of a second user based on the maintained context, in response to an end of the secret conversation with the first user.

Abstract: Encoding an image using a non-encoding region of the image, a block-based encoding region of the image, and a pixel-based encoding region of the image.

Abstract: A wearable device includes first and second electronic modules, a connection module configured to electrically connect the first electronic module to the second electronic module, and a length adjusting module of which length is adjustable to bring the connection module in contact with a user. The length adjusting module comprises first and second fastening units configured to be assembled and disassembled and configured to be locked together in a fastened position when assembled. When the first and second fastening units are assembled, the first fastening unit is electrically connected to the second fastening unit and a length of the length adjusting module is adjusted.

Abstract: A processor-implemented response inference method and apparatus are disclosed. The response inference apparatus receives an input, generates a latent variable vector in a latent variable region space by encoding the input, generates a validation vector with a predetermined phase difference from the latent variable vector, generates an output response by decoding the latent variable vector, generates a validation response by decoding the validation vector, and validates the output response by comparing the output response to the validation response.

Abstract: Provided are a video encoding method and apparatus having temporal scalability, and a video decoding method and apparatus having temporal scalability. The video encoding method includes: splitting pictures included in a picture sequence into temporal sub-layers; classifying, as a first temporal layer access picture or a second temporal layer access picture, a temporal layer access picture based on whether a picture encoded after the temporal layer access picture is capable of referring to a picture encoded before the temporal layer access picture; and adding, to transmission unit data including the temporal layer access picture, type syntax information for identifying the first temporal layer access picture and the second temporal layer access picture, wherein the picture encoded after the temporal layer access picture belongs to a same temporal sub-layer as the temporal layer access picture or belongs to an upper temporal sub-layer to the temporal layer access picture.

Abstract: Provided is in-loop filtering technology using a trained deep neural network (DNN) filter model. An image decoding method according to an embodiment includes receiving a bitstream of an encoded image, generating reconstructed data by reconstructing the encoded image, obtaining information about a content type of the encoded image from the bitstream, determining a deep neural network (DNN) filter model trained to perform in-loop filtering by using at least one computer, based on the information about the content type, and performing the in-loop filtering by applying the reconstructed data to the determined DNN filter model.