Abstract: Disclosed is a ground wire spacer structure of a connector, comprising two groups of connector monoblocks that are symmetrical and spliced, wherein any group of the connector monoblocks comprise a housing provided with: a plurality of groups of elastic pieces, wherein one end of the elastic piece is connected to a female socket of the connector, and the other end of the elastic piece is connected to a wire group of the connector; a plurality of metal spacers distributed between two adjacent groups of the elastic pieces and used to separate the elastic pieces; and a conductive sheet mounted on the housing, wherein the conductive sheet is abutted against the plurality of spacers, the conductive sheet is connected to a ground wire in the wire group, and the metal spacers and the conductive sheet form a plurality of independent spaces for accommodating the elastic pieces respectively.

Abstract: The utility model discloses a small-sized connector convenient for dismounting and mounting, the connector being inserted and received in a female socket of a PCB board, comprising: a connector housing inserted and received in the female socket; two elastic clamping plates, wherein the two elastic clamping plates are symmetrically mounted on both sides of the connector housing, first ends of the two elastic clamping plates are each provided with a clamping hole, and the female socket is provided with a clamping boss clamped with the clamping hole; and a pull strap, wherein both ends of the pull strap are respectively connected to second ends of the two elastic clamping plates, and the pull strap is used to pull the second ends of the two elastic clamping plates to separate the clamping holes at the first ends of the two elastic clamping plates from the clamping bosses of the female socket.

Abstract: The present utility model discloses a connector for preventing signal interference, comprising: a connector housing; a plurality of groups of wires arranged in the connector housing, wherein any group of the wires comprise a signal wire and a ground wire, and the ground wires in the plurality of groups of the wires are connected in series; and a metal partition plate, wherein a plurality of spacers are arranged on the metal partition plate, the spacers are positioned on both sides of the wires to separate two adjacent groups of the wires, and the spacers are connected to the ground wires. The present utility model solves the problem of signal interference caused by the absence of an isolation structure between wires in the existing connector.

Abstract: The present disclosure provides a transmission line defect identification method based on a saliency map and a semantic-embedded feature pyramid, including the following steps: step 1: cleaning and classifying a dataset; step 2: generating a super-resolution image for a small target of a transmission line by using an Electric Line-Enhanced Super-Resolution Generative Adversarial Network (EL-ESRGAN) model; step 3: performing image saliency detection on the dataset by constructing a U2-Net; step 4: performing data augmentation on the dataset by using GridMask and random cutout algorithms based on a saliency map, and generating a classified dataset; and step 5: performing image classification on a normal set and a defect set by using a ResNet34 classification algorithm and a deep semantic embedding (DSE)-based feature pyramid classification network.

Abstract: Provided is an image sensor and a manufacturing method thereof, an image recognition method and an electronic device. The image sensor includes a sensor unit array, an encapsulation layer, a rewiring layer and a circuit board. The sensor unit array includes multiple sensor units, the multiple sensor units are arranged in an array, each sensor unit is configured to generate a respective partial size image of an imaging object, and each sensor unit includes at least one interconnection structure. The encapsulation layer wraps the sensor unit array, and exposes the interconnection structure of each sensor unit. The rewiring layer is disposed on a side of the encapsulation layer, and is electrically connected to the interconnection structure. The circuit board is disposed on a side of the rewiring layer away from the encapsulation layer, and is electrically connected to the rewiring layer.

Abstract: Embodiments of the present disclosure disclose a method, an apparatus, a server, and a storage medium for recalling for a search. The method for recalling for a search includes: acquiring a search term inputted by a user; calculating a semantic vector of the search term using a pre-trained neural network model; and recalling, according to a pre-established index, target documents related to the semantic vector of the search term from candidate documents, the index being established based on the semantic vectors of the candidate documents, and the semantic vectors of the candidate documents being calculated using the pre-trained neural network model. The embodiments of the present disclosure may solve a problem in the existing method for recalling that the recalling accuracy is affected by failing to generalize semantics, to improve the accuracy of recalling for a search.

Abstract: A micro panchromatic QLED array device based on a quantum dot transfer process of deep silicon etching templates. Array-type square table structures pass through a p-type GaN layer and a quantum well active layer and are deep to an n-type GaN layer are disposed on a blue LED epitaxial wafer, wherein micro holes are formed through etching in the structures. Every 2*2 table structures constitute an RGB pixel unit. Among the four micro holes, three of the holes are filled with red light, green light and yellow light quantum dots respectively, and one of the holes emits blue light/is filled with a blue light quantum dot. Micro holes in a silicon wafer are formed through etching with a deep silicon etching technology; the micro holes in the silicon wafer are aligned with quantum dot filling areas on a micro-LED.

Abstract: A method for labeling target molecules coupled to particles for the detection of the target molecules using a microarray chip, comprises: providing a functionalized microparticle, wherein the microparticle is coated with one or more functional group; providing a modification group on each of the target molecules to be detected to form modified target molecules; contacting the functionalized microparticle with the modified target molecules; coupling a luminophore to the complex between the functionalized microparticle and the modified target molecules, thereby directly or indirectly labeling each modified target molecules with the luminophore. By directly or indirectly labeling the target molecules with the luminophore, the method reduces the cost of fluorescence detection, and avoids PCR inhibition derived from traditional fluorescence labeling molecules.

Abstract: A micro panchromatic QLED array device based on a quantum dot transfer process of deep silicon etching templates. Array-type square table structures pass through a p-type GaN layer and a quantum well active layer and are deep to an n-type GaN layer are disposed on a blue LED epitaxial wafer, wherein micro holes are formed through etching in the structures. Every 2*2 table structures constitute an RGB pixel unit. Among the four micro holes, three of the holes are filled with red light, green light and yellow light quantum dots respectively, and one of the holes emits blue light/is filled with a blue light quantum dot. Micro holes in a silicon wafer are formed through etching with a deep silicon etching technology; the micro holes in the silicon wafer are aligned with quantum dot filling areas on a micro-LED.

Abstract: A searching method and a searching apparatus based on a neural network and a search engine are disclosed, the searching method including: acquiring a query and a pre-query input by a user; acquiring a plurality of search results according to the query; generating a target term vector representation according to the query, the pre-query and the plurality of search results based on an MLP; and forecasting the target term vector representation based on a semantic model of a deep neural network so as to acquire a plurality of s optimized search results corresponding to the query.

Abstract: The present disclosure provides a method and an apparatus for providing information based on artificial intelligence. The method includes: determining a characteristic of interest of the user according to historical access records of the user; and displaying an information card matched with the characteristic of interest in an information displaying interface, the information card including core contents of news matched with the characteristic of interest determined by analyzing news in a database.

Abstract: There is provided a fingerprint sensor module comprising a fingerprint sensor device. The fingerprint sensor device comprises a sensing array consisting of a plurality of sensing elements, the sensor device being configured to acquire an image of a finger placed on a sensing surface of the fingerprint sensor module. The fingerprint sensor module further comprises a substrate comprising an opening, wherein the fingerprint sensor device is arranged in the opening of the substrate and wherein the substrate comprises an antenna embedded in the substrate, the antenna being electrically connected to the fingerprint sensor device.

Abstract: A method and an apparatus for recalling a search result based on a neural network are provided, the method comprising: receiving a query and collecting a plurality of search results corresponding to the query; acquiring a first feature vector corresponding to the query, and acquiring second feature vectors corresponding to titles of the plurality of search results respectively; acquiring similarities between the first feature vector and the second feature vectors respectively, and acquiring semantic matching scores between the query and the plurality of search results respectively according to the similarities; and determining at least one target search result from the plurality of search results according to the semantic marching scores, wherein the at least one target search result is regarded as the search result recalled according to the query.

Abstract: A method comprises: acquiring a to-be-compressed topic model, wherein each line of the topic model represents a distribution of a word among respective topics; performing a format conversion on the topic model to obtain a first topic model, wherein each line of the first topic model represents a distribution of a topic among respective words; selecting any two topics from the first topic model to form a topic pair, forming a topic pair set using at least one topic pair, and determining a similarity between the two topics in each topic pair in the topic pair set; merging topic pairs having a similarity greater than a similarity threshold to generate a second topic model; and performing a format conversion on the second topic model to obtain a compressed topic model, so that each line of the compressed topic model represents a distribution of a word among the respective topics.

Abstract: In one embodiment, a current context of a mobile device may be ascertained, where the current context includes an indication of a last application opened via the mobile device, wherein the last application opened is one of a plurality of applications installed on the mobile device. A probability, for each of the plurality of applications, that a user of the mobile device will use the corresponding application under the current context may be determined, where the probability for at least a portion of the plurality of applications is determined by applying a computer-generated model to the current context. One or more of the plurality of the applications may be identified based, at least in part, upon the probability, for each one of the plurality of applications, that the user of the mobile device will use the corresponding application.

Abstract: A method for labeling target molecules coupled to particles for the detection of the target molecules using a microarray chip, comprises: providing a functionalized microparticle, wherein the microparticle is coated with one or more functional group; providing a modification group on each of the target molecules to be detected to form modified target molecules; contacting the functionalized microparticle with the modified target molecules; coupling a luminophore to the complex between the functionalized microparticle and the modified target molecules, thereby directly or indirectly labeling each modified target molecules with the luminophore. By directly or indirectly labeling the target molecules with the luminophore, the method reduces the cost of fluorescence detection, and avoids PCR inhibition derived from traditional fluorescence labeling molecules.

Abstract: Embodiments of the present disclosure disclose a method, an apparatus, a server, and a storage medium for recalling for a search. The method for recalling for a search includes: acquiring a search term inputted by a user; calculating a semantic vector of the search term using a pre-trained neural network model; and recalling, according to a pre-established index, target documents related to the semantic vector of the search term from candidate documents, the index being established based on the semantic vectors of the candidate documents, and the semantic vectors of the candidate documents being calculated using the pre-trained neural network model. The embodiments of the present disclosure may solve a problem in the existing method for recalling that the recalling accuracy is affected by failing to generalize semantics, to improve the accuracy of recalling for a search.

Abstract: A method for labeling target molecules coupled to particles for the detection of the target molecules using a microarray chip, comprises: providing a functionalized microparticle, wherein the microparticle is coated with one or more functional group; providing a modification group on each of the target molecules to be detected to form modified target molecules; contacting the functionalized microparticle with the modified target molecules; coupling a luminophore to the complex between the functionalized microparticle and the modified target molecules, thereby directly or indirectly labeling each modified target molecules with the luminophore. By directly or indirectly labeling the target molecules with the luminophore, the method reduces the cost of fluorescence detection, and avoids PCR inhibition derived from traditional fluorescence labeling molecules.

Abstract: Embodiments of the present disclosure disclose a method and a device for judging news quality based on AI and a storage medium. The method includes: constructing a news quality classification model based on a news feature of known high-quality news and/or a news feature of known low-quality news; and judging news quality of news to be detected with the news quality classification model.

Abstract: A method comprises: acquiring a to-be-compressed topic model, wherein each line of the topic model represents a distribution of a word among respective topics; performing a format conversion on the topic model to obtain a first topic model, wherein each line of the first topic model represents a distribution of a topic among respective words; selecting any two topics from the first topic model to form a topic pair, forming a topic pair set using at least one topic pair, and determining a similarity between the two topics in each topic pair in the topic pair set; merging topic pairs having a similarity greater than a similarity threshold to generate a second topic model; and performing a format conversion on the second topic model to obtain a compressed topic model, so that each line of the compressed topic model represents a distribution of a word among the respective topics.