Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Cambricon Technologies Corporation Limited

Sifotonics Technologies Co., Ltd.

Sifotonics Technologies (beijing) Co., Ltd.

Zhou Fang

Yong Zhu

Pengfei Cai

Zhifan Feng

Yang Zhang

Dong Pan

Wei Lin

Ning Zhang

Chunguang Chai

Ching-yin Hong

Yabing Shi

Ye Jiang

Ye Xu

Tianshi Chen

Ying Li

Shu Wang

Qi Wang

Yue Hua Zhang

Chang Liu

Zidong Du

Rangchen Yu

Xiaofu Meng

Chao Lu

Shuangjie Li

Zhijie Liu

Qun Liu

Fan Qi

Yuanbo Wen

Shengyuan Zhou

The present disclosure provides a coherent light receiving optical device. It includes: an optical switch group, each optical switch thereof is configured to switch between two different preset bands and output two signal lights or two oscillation lights corresponding to the two different preset bands; a 1×2 power beam splitter group, each 1×2 power beam splitter thereof is configured to split one of the two oscillation lights into two split oscillation lights; an optical hybrid group, each optical hybrid thereof is configured to mix the one split oscillation light from an oscillation path with one signal light from a signal path in the same preset band, to output a mixed light; a detector group, each detector thereof is configured to convert the mixed lights of two different preset bands in the mixed lights into photocurrent in the same detector, so as to multiplex the detector.

Coherent light receiving optical device

A method of extracting a table information, an electronic device, and a storage medium are provided, which relate to fields of artificial intelligence and big data, in particular to fields of machine learning, knowledge graph, intelligent search and intelligent recommendation, and may be used for an intelligent extraction of an information in a table and other scenarios. The method includes: performing a clustering based on features of a plurality of rows of cells and/or features of a plurality of columns of cells in a table, so as to determine candidate header cells in the table; and performing an information extraction on the table based on the candidate header cells, so as to extract attribute-attribute value pairs in the table.

Method of extracting table information, electronic device, and storage medium

The present disclosure relates to a video retrieval method, a method, system and device for generating a video retrieval mapping relationship, and a storage medium. The video retrieval method comprises: acquiring a retrieval instruction, wherein the retrieval instruction carries retrieval information for retrieving a target frame picture; and obtaining the target frame picture according to the retrieval information and a preset mapping relationship. The method for generating a video retrieval mapping relationship comprises: performing a feature extraction operation on each frame picture in a video stream by using a feature extraction model so as to obtain a key feature sequence corresponding to each frame picture; inputting the key feature sequence corresponding to each frame picture into a text sequence extraction model for processing so as to obtain a text description sequence corresponding to each frame picture; and constructing a mapping relationship according to the text description sequence corresponding to each frame picture. By means of the video retrieval method and the method for generating a video retrieval mapping relationship provided in the present application, the efficiency of video retrieval can be improved, and human-machine interaction is made more intelligent.

Video retrieval method, and method and apparatus for generating video retrieval mapping relationship

Embodiments of the disclosure disclose a method, apparatus, server, and storage medium for incorporating a structured entity, wherein the method for incorporating a structured entity can comprise: selecting a candidate entity associated with a to-be-incorporated structured entity from a knowledge graph, determining the to-be-incorporated structured entity being an associated entity based on prior attribute information of a category of the candidate entity and a preset model, merging the associated entity and the candidate entity, and incorporating the associated entity into the knowledge graph. The embodiments can select a candidate entity, and then integrate a preset model using prior knowledge, which can effectively improve the efficiency and accuracy in associating entities, and reduce the amount of calculation, to enable the structured entity to be simply and efficiently incorporated into the knowledge graph.

Method, apparatus, server, and storage medium for incorporating structured entity

The present disclosure provides a method, a device, an equipment and a storage medium for mining a topic concept. The method includes: acquiring a plurality of candidate topic concepts based on a query; performing word segmentation on the plurality of candidate topic concepts and performing part-of-speech tagging on words obtained after performing the word segmentation, to obtain a part-of-speech sequence of each of the plurality of candidate topic concepts; and filtering the plurality of candidate topic concepts based on the part-of-speech sequence, to filter out a topic concept corresponding to a target part-of-speech sequence among the plurality of candidate topic concepts, in which a proportion of accurate topic concepts in the target part-of-speech sequence is lower than or equal to a first preset threshold, or a proportion of inaccurate topic concepts in the target part-of-speech sequence is higher than or equal to a second preset threshold.

Method, device, equipment, and storage medium for mining topic concept

The present disclosure relates to the field of medical data processing based on natural language processing. Embodiments of the present disclosure disclose a method and apparatus for verifying a medical fact. The method may include: acquiring a description text of the medical fact; selecting a relevant paragraph related to the description text of the medical fact from a medical document; and inputting the description text of the medical fact and the corresponding relevant paragraph into a trained discrimination model for authenticity judgment, to obtain a verification result of the medical fact, the discrimination model being pre-trained based on a medical text paragraph pair extracted from the medical document, and being iteratively adjusted using a medical fact sample set including authenticity labeling information after the pre-training.

Method and apparatus for verifying medical fact

Various embodiments of a monolithic transceiver are described, which may be fabricated on a semiconductor substrate. The monolithic transceiver includes a coherent receiver module (CRM), a coherent transmitter module (CTM), and a local oscillation splitter to feed a local oscillation to the CRM and the CTM with a tunable power ratio. The monolithic transceiver provides tunable responsivity by employing photodiodes for opto-electrical conversion. The monolithic transceiver also employs a polarization beam rotator-splitter (PBRS) and a polarization beam rotator-combiner (PBRC) for supporting modulation schemes including polarization multiplexed quadrature amplitude modulation (PM-QAM) and polarization multiplexed quadrature phase shift keying (PM-QPSK).

Monolithic integrated coherent transceiver

Embodiments of the present disclosure provide a method, apparatus, device and medium for determining text relevance. The method for determining text relevance may include: identifying, from a predefined knowledge base, a first set of knowledge elements associated with a first text and a second set of knowledge elements associated with a second text. The knowledge base includes a knowledge representation consist of knowledge elements. The method may further include: determining knowledge element relevance between the first set of knowledge elements and the second set of knowledge elements, and determining text relevance between the second text and the first text based at least on the knowledge element relevance.

Method, apparatus, device and medium for determining text relevance

The invention relates to an executable file acquisition method and operation method of a heterogeneous computing system and a related product. According to the executable file obtaining method of the heterogeneous computing system, through the CPU program and the artificial intelligence processor program, the electronic device allows a user to compile a corresponding program according to needs to achieve needed functions, and the application range of a machine learning library is expanded.

Method for acquiring executable file of heterogeneous computing system, method for running the heterogeneous computing system and related products

Various embodiments of a monolithic transceiver are described, which may be fabricated on a semiconductor substrate. The monolithic transceiver includes a coherent receiver module (CRM), a coherent transmitter module (CTM), and a local oscillation splitter to feed a local oscillation to the CRM and the CTM with a tunable power ratio. The monolithic transceiver provides tunable responsivity by employing avalanche photodiodes (APDs) for opto-electrical conversion. The monolithic transceiver also employs a polarization beam rotator-splitter (PBRS) and a polarization beam rotator-combiner (PBRC) for supporting modulation schemes including polarization multiplexed quadrature amplitude modulation (PM-QAM) and polarization multiplexed quadrature phase shift keying (PM-QPSK).

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Beijing, China

Zhou Fang