Abstract: The present invention discloses a high-peak-power single-frequency narrow-linewidth nanosecond fiber laser based on a triangular pulse, wherein the laser includes: pulsed laser generated by the laser seed injecting into a first power pre-amplifier through a first isolator, and then injecting into a second pre-amplifier and then injecting into a power amplifier; wherein triangle-shaped pulsed laser with fast rising edge is obtained by using electro-optic and acousto-optic modulator to modulate continuous wave single-frequency laser or a single-frequency semiconductor laser directly modulated by radio frequency signal; single-frequency triangle-shaped pulsed laser is employed as the laser source according to the characteristics of narrow intrinsic linewidth and suppression of linewidth broadening caused by SPM, and the power of pulsed laser is amplified through the MOPA system.

Abstract: The present disclosure provides a multi-lingual model training method, apparatus, electronic device and readable storage medium and relates to the technical field of deep learning and natural language processing. A technical solution of the present disclosure when training the multi-lingual model is: obtaining training corpuses comprising a plurality of bilingual corpuses and a plurality of monolingual corpuses; training a multi-lingual model with a first training task by using the plurality of bilingual corpuses; training the multi-lingual model with a second training task by using the plurality of monolingual corpuses; and completing the training of the multi-lingual model in a case of determining that loss functions of the first training task and second training task converge.

Abstract: The present disclosure provides examples of a method and apparatus for processing a video, a device and a storage medium. The method may include: acquiring a target video and a target comment of the target video; recognizing a picture in the target video to obtain text information of the picture; determining a target comment matching a content of the text information; and inserting, in response to displaying the picture in the target video, the target comment matching the content in a form of a bullet screen.

Abstract: Embodiments of the disclosure disclose a method and apparatus for pushing information based on artificial intelligence. A specific embodiment of the method includes: mining, in response to a new match occurring, real-time match data of the match and real-time associated data of the match; generating structured data using the real-time match data; generating a to-be-recommended item using the real-time associated data and an offline item; determining whether a current time point is a recommendation node based on the structured data and real-time match state information acquired from a state manager; generating a to-be-pushed message based on the to-be-recommended item, the real-time match state information, and basic match information acquired from the state manager, and updating a to-be-pushed message record in the state manager, if the current time point is the recommendation node; and pushing the to-be-pushed message. The embodiment has improved the quality and timeliness of pushing a to-be-pushed message.

Abstract: The present disclosure provides a method and apparatus for training a model. The method can include: acquiring at least one paragraph text, each paragraph text comprising a plurality of fine-grained samples; processing a fine-grained sample in the each paragraph text to obtain a coarse-grained sample; annotating the coarse-grained sample in the each paragraph text and obscuring one coarse-grained sample using a mask of one fine-grained sample to obtain a training sample set, wherein the training sample set comprises a plurality of annotated texts, and each annotated text comprises at least one of a fine-grained sample or an annotated coarse-grained sample; and training a fine-grained model using the training sample set to obtain a trained fine-grained model, the fine-grained model being used to learn content of a previous fine grain size and predict content of an adjacent coarse grain size.

Abstract: The invention discloses a method for network configuration via Bluetooth, the method comprising: a Bluetooth communication device establishing a connection to a mobile terminal via Bluetooth; the Bluetooth communication device and the mobile terminal negotiating to determine a data encryption mode and a shared key for data decryption; connecting the Bluetooth communication device to an external wireless network; configuring the wireless network via Bluetooth is realized. According to the invention, during the process of network configuration via Bluetooth, a symmetric encryption method is utilized as the encryption mode for message data, and an asymmetric encryption method is utilized to generate the corresponding shared key, ensuring the data security during network configuration via Bluetooth and network communication processes.

Abstract: A method for aligning a text with a media material, an apparatus, and a storage medium are provided. The method includes: determining a set of anchor points in the text; performing following operations i) to v) repeatedly until all anchor points are removed from the set of anchor points or all media materials are removed from a set of media materials: i) ranking the anchor points in the set of anchor points, ii) selecting a target anchor point from the set of anchor points based on the ranked anchor points in the set, iii) determining, from the set of media materials, a media material matching a text segment starting from the target anchor point, iv) removing the target anchor point, and v) removing the media material matching the text segment starting from the target anchor point; and aligning the text segments with respective media matching materials.

Abstract: A method and an apparatus for interactions in a live broadcast room are disclosed. The method may include: in response to an opening operation for a question interaction function in a live broadcast room: obtaining at least one piece of question information from a server and displaying the at least one piece of question information in a first display area of the live broadcast room, in which the at least one piece of question information is sent by at least one audience client to the server; obtaining an interaction parameter value corresponding to each piece of question information from the server; and adjusting a position of the question information in the first display area based on the interaction parameter value corresponding to each piece of question information.

Abstract: A multi-modal pre-training model acquisition method, an electronic device and a storage medium, which relate to the fields of deep learning and natural language processing, are disclosed. The method may include: determining, for each image-text pair as training data, to-be-processed fine-grained semantic word in the text; masking the to-be-processed fine-grained semantic words; and training the multi-modal pre-training model using the training data with the fine-grained semantic words masked.

Abstract: A stent is disclosed, which includes a stent body (2) and a single-radiopaque component (1) disposed at one or each of a proximal end and a distal end of the stent body (2). The stent body (2) is composed of rings and struts, and one part of the single-radiopaque component (1) is received in a receptacle (3) of the stent body (2) and another part of the single-radiopaque component (1) protrudes out of a surface of the stent body (2). The area of the protruding part (11) of the single-radiopaque component (1) is larger than an area of the embedded part (10), the presence of the protruding part (11) allowing the single-radiopaque component (1) to appear wider and thicker in a radiologic image, enhancing the radiopacity of the stent during surgery.

Abstract: The present disclosure provides an information recommendation method, which relates to a field of knowledge graph. The method includes: acquiring request information; extracting a request entity word representing an entity from the request information; determining recommendation information based on the request entity word and a pre-constructed knowledge graph; and pushing the recommendation information, wherein the knowledge graph is constructed based on a text, and the knowledge graph indicates a first word representing a source of the text. The present disclosure further provides an information recommendation apparatus, an electronic device and a computer-readable storage medium.

Abstract: A stent is disclosed, which includes a stent body and a single-radiopaque component disposed at one or each of a proximal end and a distal end of the stent body. The stent body is composed of rings and struts, and one part of the single-radiopaque component is received in a receptacle of the stent body and another part of the single-radiopaque component protrudes out of a surface of the stent body. The area of the protruding part of the single-radiopaque component is larger than an area of the embedded part, the presence of the protruding part allowing the single-radiopaque component to appear wider and thicker in a radiologic image, enhancing the radiopacity of the stent during surgery.

Abstract: The embodiments of the present application provide a method and an apparatus for releasing a video file, which are applied to a server. The method comprises obtaining a video file to be released; selecting a first preset number of video frames in the video file to be released; generating a target video file using the selected video frames; determining a target display position for the target video file in a video preview interface; and storing the correspondence between the target display position and the target video file so that a first terminal logging in the server plays the target video file at the target display position in the video preview interface based on the correspondence. As can be seen, since the first terminal plays the target video file at the target display position in the video preview interface, the user can get more information about the content of the video file to be released from the target video file, so that the user experience is improved.

Abstract: The present disclosure proposes a language generation method and apparatus. The method includes: performing encoding processing on an input sequence by using a preset encoder to generate a hidden state vector corresponding to the input sequence; in response to a granularity category of a second target segment being a phrase, decoding a first target segment vector, the hidden state vector, and a position vector corresponding to the second target segment by using N decoders to generate N second target segments; determining a loss value based on differences between respective N second target segments and a second target annotated segment; and performing parameter updating on the preset encoder, a preset classifier, and the N decoders based on the loss value to generate an updated language generation model for performing language generation.

Abstract: The present disclosure discloses a method and an apparatus for generating a text based on a semantic representation and relates to a field of natural language processing (NLP) technologies. The method for generating the text includes: obtaining an input text, the input text comprising a source text; obtaining a placeholder of an ith word to be predicted in a target text; obtaining a vector representation of the ith word to be predicted, in which the vector representation of the ith word to be predicted is obtained by calculating the placeholder of the ith word to be predicted, the source text and 1st to (i?1)th predicted words by employing a self-attention mechanism; and generating an ith predicted word based on the vector representation of the ith word to be predicted, to obtain a target text.

Abstract: The embodiments of the present application provide a method and an apparatus for releasing a video file, which are applied to a server. The method comprises obtaining a video file to be released; selecting a first preset number of video frames in the video file to be released; generating a target video file from the selected video frames, determining a target display position in a video preview interface for the target video file; and saving a correspondence between the target display position and the target video file such that a first terminal logging in the server can play the target video file at the target display position in the video preview interface based on the correspondence. As can be seen, since the first terminal plays the target video file at the target display position in the video preview interface, the user can get more information about contents of the video file to be released from the target video file, which improves user experience.

Abstract: The present disclosure provides a pre-training method for a sentiment analysis model and an electronic device, which relates to a field of artificial intelligence technologies. The method includes: based on a given seed sentiment dictionary, performing sentimental knowledge detection on a training corpus in a training corpus set, and determining a detection sentiment word and a detection word pair of the training corpus; according to preset mask processing rules, performing mask process on the training corpus to generate a masked corpus; performing encoding and decoding on the masked corpus by using a preset encoder and decoder to determine the detection sentiment word and the detection word pair of the training corpus; and updating the preset encoder and decoder according to a difference between prediction sentiment word and the detection sentiment word, and a difference between prediction word pair and the detection word pair.

Abstract: The present disclosure provides a method, apparatus, electronic device and storage medium for processing a semantic representation model, and relates to the field of artificial intelligence technologies. A specific implementation solution is: collecting a training corpus set including a plurality of training corpuses; training the semantic representation model using the training corpus set based on at least one of lexicon, grammar and semantics. In the present disclosure, by building the unsupervised or weakly-supervised training task at three different levels, namely, lexicon, grammar and semantics, the semantic representation model is enabled to learn knowledge at levels of lexicon, grammar and semantics from massive data, enhance the capability of universal semantic representation and improve the processing effect of the NLP task.

Abstract: The present disclosure discloses a method and apparatus for determining video material of news. The method for determining video material of news comprises: recognizing a person name in a news text; searching a video based on the person name, to obtain a to-be-selected video; extracting a key frame in the to-be-selected video; recognizing a person in the key frame to obtain identity information of the person; and determining the to-be-selected video as video material of news, in response to the identity information of the person conforming to the person name. The present disclosure improves the consistency between the video material of the news and the news text.

Abstract: Provided is a game client control method and apparatus, a storage medium, and an electronic apparatus. The method including obtaining first orientation data detected by a target detection apparatus, a game client being installed on a mobile terminal, the target detection apparatus being disposed in the mobile terminal, a game screen of the game client being at a first angle of view according to the first orientation data, and the first orientation data comprising a first orientation of the mobile terminal, obtaining second orientation data detected by the target detection apparatus, the second orientation data including a second orientation of the mobile terminal, and switching the game screen from the game screen at the first angle of view to a game screen at a second angle of view based on relative orientation data between the second orientation data and the first orientation data satisfying a target condition.