Abstract: The present invention provides a transparent EMI shielding film that includes a first transparent polymeric substrate layer. A first conductive mesh layer having a first pattern is printed on the first layer, the conductive mesh having a line width from approximately 5 ?m to approximately 500 ?m and having a space between two adjacent conductive lines of 100 ?m to 1000 ?m. The conductive mesh blocks electromagnetic signals. A second transparent polymeric layer is positioned over the first transparent polymeric substrate layer having the first conductive mesh layer printed thereon. A second conductive mesh layer having a second pattern is printed on the second transparent polymeric layer, the second pattern being substantially identical to the first pattern, and being substantially identically positioned above the first pattern in order to maximize transparent spaces between adjacent conductive lines. The transparency is approximately 80% or greater in a visible light spectral region.

Abstract: A method of processing multimedia data, a device, and a medium, which relates to a field of an artificial intelligence technology, in particular to fields of knowledge graph and deep learning. The method of processing the multimedia data includes: recognizing the multimedia data so as to obtain at least one key information of the multimedia data; querying a predetermined knowledge base according to the at least one key information, so as to determine a multimedia name associated with the at least one key information and an association degree between the multimedia name and the at least one key information; and determining, in the multimedia name, a name of the multimedia data based on a similarity between alternative multimedia data for the multimedia name and the multimedia data, in response to the association degree being less than a first threshold value.

Abstract: A method of obtaining an event information, an electronic device, and a storage medium, which relate to a field of artificial intelligence, in particular to fields of knowledge graph and deep learning technologies. A specific implementation solution of the method of obtaining the event information includes: determining, according to a query information in data to be processed, a first key information describing an event; determining, according to multimedia data in the data to be processed, a second key information describing an event, wherein the multimedia data includes data obtained by querying based on the query information; and fusing the first key information and the second key information, so as to obtain an event information of a target event described by the data to be processed.

Abstract: The light-emitting device includes a main body, a light-emitting module, and a press part located on the main body and configured to control on or off of the light-emitting module. The main body is provided with an accommodation space having the light-emitting module arranged therein. The main body includes a light guide, and light emitted by the light-emitting module is emitted outside of the main body through the light guide. The light guide includes a light exit surface and a light entrance surface. The light entrance surface is located on the circumferential inner sidewall of the accommodation space, and the light exit surface is located on the circumferential outer sidewall of the main body, and light emitted by the light-emitting module is emitted outside along a side of the main body.

Abstract: The present disclosure discloses a method and an apparatus for generating a vector representation of a knowledge graph, and relates to a field of a field of artificial intelligence technologies. The detailed implementing solution is: obtaining a knowledge graph, the knowledge graph including a plurality of entity nodes; obtaining a context type and context data corresponding to the knowledge graph; and generating vector representations corresponding to the plurality of entity nodes by a context model based on the context data and the context type.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a neural network. The method includes: acquiring a target neural network, the target neural network corresponding to a preset association relationship, and being configured to use two entity vectors corresponding to two entities in a target knowledge graph as an input, to determine whether an association relationship between the two entities corresponding to the inputted two entity vectors is the preset association relationship, the target neural network comprising a relational tensor predetermined for the preset association relationship; converting the relational tensor in the target neural network into a product of a target number of relationship matrices, and generating a candidate neural network comprising the target number of converted relationship matrices; and generating a resulting neural network using the candidate neural network.

Abstract: The present disclosure provides a method for processing intelligent question-answering, an intelligent question-answering system, an electronic device and a storage medium, and relates to the field of artificial intelligence technologies, such as machine learning technologies, natural language processing technologies, or the like. An implementation includes: acquiring an input question and input data information; and based on the question, the data information and a plurality of knowledge bases, deciding an answer to the question by multilayer appreciation using a plurality of understanding module layers.

Abstract: A foldable ultrathin glass article includes an ultrathin chemically-tempered foldable glass substrate having a thickness of approximately 100 microns or less and a compressive surface stress of at least 100 MPa. A single-layer hard coating is bonded to the first and/or second surface of the ultrathin tempered glass foldable substrate without an adhesive layer. The hard coating includes at least one silsesquioxane having a silicon-oxygen core framework directly bonded to the ultrathin tempered glass foldable substrate. The impact resistance defined by a maximum pen drop height without glass failure is at least four times greater than the ultrathin tempered glass foldable substrate without the hard coating. The hard coating has a surface hardness of at least 7H surface hardness and has a hydrophobic surface with a water contact angle of at least 100°. The coating has a transparency of at least 98 percent compared to uncoated substrates.

Abstract: A method of processing data, a device, and a medium are provided, which relate to a field of an artificial intelligence technology, in particular to fields of computer vision, natural language technology, speech technology, deep learning and knowledge graph. The method of processing data includes: generating a video feature, a question feature and an answer feature based on acquired video data, acquired question data and acquired candidate answer data; determining a link relationship between the video feature, the question feature and the answer feature; and determining a matching result for the video data, the question data and the candidate answer data based on the link relationship.

Abstract: The light-emitting device includes a main body, a light-emitting module, and a press part located on the main body and configured to control on or off of the light-emitting module. The main body is provided with an accommodation space having the light-emitting module arranged therein. The main body includes a light guide, and light emitted by the light-emitting module is emitted outside of the main body through the light guide. The light guide includes a light exit surface and a light entrance surface. The light entrance surface is located on the circumferential inner sidewall of the accommodation space, and the light exit surface is located on the circumferential outer sidewall of the main body, and light emitted by the light-emitting module is emitted outside along a side of the main body.

Abstract: A sound-producing structure includes: a hollow piece; a sound-producing piece located in a hollow cavity of the hollow piece; and a heat dissipation piece located outside the hollow cavity, a first part of the heat dissipation piece being located below the hollow piece and a second part of the heat dissipation piece being on a side wall of the hollow piece.

Abstract: The invention discloses a method of manufacturing an electrochemical cell having a polymer separator membrane for separation of electrodes in the electrochemical cell, including providing a cathode and providing a polymer separator membrane. At least one cycle of irradiating the polymer separator membrane is performed by an energy beam under a radiation dose ranging between 50 and 200 kGy to effect a cross-linking in the polymer separator membrane. The polymer separator membrane is maintained at a temperature between 30° C. and 70° C. An anode is then provided. Subsequently, the polymer separator membrane is compressed between the cathode and the anode. An electrolyte is provided to form the electrochemical cell.

Abstract: The present disclosure provides a method of processing triple data, a method of training a triple data processing model, an electronic device, and a storage medium. A specific implementation solution includes: performing a triple data extraction on text data to obtain a plurality of field data; normalizing the plurality of field data to determine target triple data, wherein the target triple data contains entity data, entity relationship data, and association entity data; and verifying a confidence level of the target triple data to obtain a verification result.

Abstract: The present disclosure provides a method and apparatus for acquiring a pre-trained model, an electronic device and a storage medium, and relates to the fields such as deep learning, natural language processing, knowledge graph and intelligent voice. The method may include: acquiring a pre-training task set composed of M pre-training tasks, M being a positive integer greater than 1, the pre-training tasks including: N question-answering tasks corresponding to different question-answering forms, N being a positive integer greater than 1 and less than or equal to M; and jointly pre-training the pre-trained model according to the M pre-training tasks.

Abstract: The present disclosure discloses a method for acquiring a structured question-answering (QA) model, a QA method and corresponding apparatuses, and relates to knowledge graph and deep learning technologies in the field of artificial intelligence technologies. A specific implementation solution involves: acquiring training samples corresponding to N structured QA database types, the training samples including question samples, information of the structured QA database types and query instruction samples used by the question samples to query structured QA databases of the types, N being an integer greater than 1; and training a text generation model by using the training samples to obtain the structured QA model, wherein the question samples and the information of the structured QA database types are taken as input to the text generation model, and the query instruction samples are taken as target output of the text generation model.

Abstract: Technical solutions for video event recognition relate to the fields of knowledge graphs, deep learning and computer vision. A video event graph is constructed, and each event in the video event graph includes: M argument roles of the event and respective arguments of the argument roles, with M being a positive integer greater than one. For a to-be-recognized video, respective arguments of the M argument roles of a to-be-recognized event corresponding to the video are acquired. According to the arguments acquired, an event is selected from the video event graph as a recognized event corresponding to the video.

Abstract: Embodiments of the present disclosure provide to a method and a device for acquiring a data model in a knowledge graph, an apparatus and a storage medium. The method includes: receiving a knowledge entry describing a relationship between an entity and an object; determining a plurality of candidate object types of the object according to at least one of the entity, the relationship and the object; determining an object type for generating a data model that matches the knowledge entry from the plurality of candidate object types based on a preset rule; and generating the data model based at least on the object type.

Abstract: An information search method includes: obtaining search words at least including a question to be searched and obtaining an initial text vector representation of the search words; obtaining a video corresponding to the search words, and obtaining multi-modality vector representations of the video; starting from the initial text vector representation, performing N rounds of interaction between the video and the search words based on the multi-modality vector representations and a text vector representation of the search words of a current round, to generate a target fusion vector representation, where N is an integer greater than or equal to 1; and obtaining target video frames matching the question to be searched by annotating the video based on the target fusion vector representation.

Abstract: Disclosed are a method for processing multimodal data using a neural network, a device, and a medium, and relates to the field of artificial intelligence and, in particular to multimodal data processing, video classification, and deep learning. The neural network includes: an input subnetwork configured to receive the multimodal data to output respective first features of a plurality of modalities; a plurality of cross-modal feature subnetworks, each of which is configured to receive respective first features of two corresponding modalities to output a cross-modal feature corresponding to the two modalities; a plurality of cross-modal fusion subnetworks, each of which is configured to receive at least one cross-modal feature corresponding to a corresponding target modality and other modalities to output a second feature of the target modality; and an output subnetwork configured to receive respective second features of the plurality of modalities to output a processing result of the multimodal data.

Abstract: A device for separating light flaky cut rolled stems (CRSs) by a throwing roller is provided. The device includes a vertically provided separation bin, and a CRS guide device and a CRS distribution plate which are arranged in the separation bin. The present disclosure further provides a method for separating light flaky CRSs by using the device. The present disclosure achieves full separation of finished CRSs from light flaky CRSs. The device of the present disclosure is designed for the first time, and can be directly connected to a pneumatic CRS feeding and discharging section of a production line. The device of the present disclosure is compact and suitable for industrial production.