Beijing Baidu Netcom Science and Technology Co., Ltd.

Qualcomm Incorporated

International Business Machines Corporation

Chinese Academy of Sciences

At&m Environmental Engineering Technology Co., Ltd.

Samsung Electronics Co., Ltd.

Sas Institute Inc.

Cognitive Medical Imaging Ltd.

Baidu Online Network Technology (beijing) Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Siemens Aktiengesellschaft

Novashin Co., Ltd.

Suzhou Silikron Semicoductor Co., Ltd

Beijing Giluntide Pharmaceutical Co., Ltd.

Fan Wang

Jingzhou He

Sundaresan Tambaram Kailasam

Yu Zhang

Kun Wang

An-Swol Clement Hu

Xuan Yang

Guanying Liu

Hu Gu

Ying Dai

Shiyu Lin

Xiaomin Fang

Siqi Bao

Junjun Yang

Haifeng Wang

Hua Wu

Bo Zhou

Xu Yang

Teresa S Jade

Uzma Khan

Huang He

Xiao Ling Chen

Jizhou Huang

Li Cao

Krishna Rao Mandadapu

Yan Zhuo

Sijia Yang

Lihang Liu

Lingke Zeng

Cary Lee Bates

Qi Cheng Li

Wei He

Kee-Bong Song

Jie Chen

Yu Liu

Wei Liu

Fan Zhang

Lei Gao

Jongbum Choi

Uzma Khan Qazi

Shuqi Sun

Jia Chen

Rui Wang

Haijin Liang

Jiu Chang Du

Vikas Gulati

Shiwei Huang

Yang Xue

Cong Chao Li

Preyas Devangbhai Desai

Yingzhan Lin

Xiao Ouyang

Xin Tian

Cheng Feng

Peng Wei Tian

Enrico James Monteleone

Yinji Piao

Hongmei Wang

Kihyun Do

Bing Jia

Jianchun Yang

Dongmei Yang

Kejiao Li

Shunzi Wu

Mengting Chen

Hannan Gao

Huasheng Liang

Liankai Huang

Yelan Mo

Xinxian Huang

Jiyun Shi

Rongxin Zhu

Gang Tian

Chengqiang Yan

Yaxue Chen

Seongho Hur

Jeong Heon Lee

Xiaozhong Sun

Junkun Chen

Xiao Quyang

Li Gang Mei

Zhuoyi Lv

Techniques described herein provide for generation of structured output for documents identified using automated near-duplicate detection. In one example, a system can receive a set of documents including at least one pair of similar documents determined to be similar to one another based on similarity scores generated using a predefined similarity scoring technique. The system can generate document groups by merging together pairs of documents that share at least one document. The system can, for each of the document groups, identify a representative document for the document group. The system can generate an output for display including a section for each document group, in which each section includes the representative document for the document group and, for each document in the document group, the similarity score relative to the representative document for the document group.

Structured output of duplicate or near-duplicate text documents identified using automated near-duplicate detection for text documents

Techniques described herein provide for automated near-duplicate detection for new text documents given text documents that were previously processed using automated near-duplicate detection for text documents. In one example, a system can receive new documents and documents that were previously processed using a predefined processing technique for automated near-duplicate detection. The system can process the new documents and cluster the new documents into multiple predefined clusters previously identified using the predefined processing technique. For each predefined cluster including at least one new document, the system can generate document groups by determining similarity scores using the predefined processing technique as applied to the documents in the predefined clusters. The system can identify a representative document for each document group and generate an output data structure including the document groups and the representative document for each group.

Expediting automated near-duplicate detection for new text documents

A navigation path planning method includes planning at least two available navigation paths for each target user of at least two target users in a target region by using a path planning algorithm; and determining a global passing feature of the target region and selecting, according to the global passing feature of the target region, one available navigation path from the at least two available navigation paths corresponding to each target user to serve as a recommended navigation path to be recommended to each target user, where the global passing feature of the target region refers to a global passing feature of the at least two target users in the target region and is used for cooperative path planning that takes into account a global passing time length in the target region.

Navigation path planning method and apparatus, device, and storage medium

A pharmacological composition contains a complex having a structurally modified RGD polypeptide a radionuclide. This pharmacological composition is useful for diagnosis or treatment of the integrin αvβ3-positive tumors. The pharmacological composition may further contain an immunotherapeutic medicament and an optional nanoantibody molecular imaging probe. Treatment with a PD-L1 blockade after the targeted radioactive therapy can archive the optimal synergic efficacy. Moreover, with administration of PD-1 or PD-L1 nanoantibody molecular imaging probe, expression of PD-1 or PD-L1 in the tumor after targeted radiotherapy can be observed.

Targeted radiopharmaceutical for tumor and its use in the imaging-guided combination therapy of targeted radiotherapy and immunotherapy

The present application discloses an optimizer learning method and apparatus, an electronic device and a readable storage medium, which relates to the field of deep learning technologies. An implementation solution adopted by the present application during optimizer learning is: acquiring training data, the training data including a plurality of data sets each including neural network attribute information, neural network optimizer information, and optimizer parameter information; and training a meta-learning model by taking the neural network attribute information and the neural network optimizer information in the data sets as input and taking the optimizer parameter information in the data sets as output, until the meta-learning model converges. The present application can implement self-adaptation of optimizers, so as to improve generalization capability of the optimizers.

Optimizer learning method and apparatus, electronic device and readable storage medium

The present invention discloses a Fe—Al intermetallic compound filter element and a preparation method thereof, which relates to the field of powder metallurgy and filtration technology. In view of the drawback in the prior art that using a fiber felt as a filtration layer reduces stability and reliability of a filter, the present invention provides an Fe—Al intermetallic compound filter element, which comprises: at least two filter-element parts, and a rebar connecting the at least two filter-element parts transversely by means of welding, wherein, the filter-element parts each comprises at least two segments of Fe—Al intermetallic compound filter-element powder tube and a connector connecting the at least two segments of Fe—Al intermetallic compound filter-element powder tube end-to-end by means of welding; and wherein, the at least two segments of Fe—Al intermetallic compound filter-element powder tube each comprises a substrate framework and a surface filtration membrane.

Iron-aluminum-based intermetallic compound filter element and preparation method thereof

A method for generating a dialogue state includes: acquiring a target dialogue state of a previous round of dialogue and dialogue information of a current round of dialogue; generating an initial dialogue state of the current round of dialogue according to the target dialogue state of the previous round of dialogue and the dialogue information of the current round of dialogue; and generating a target dialogue state of the current round of dialogue according to the initial dialogue state of the current round of dialogue and the dialogue information of the current round of dialogue.

Method and apparatus for generating dialogue state

A calibration system for magnetometers includes magnetometers configured to measure a magnetic field to be measured; a magnetometer holder fixedly mounted on the magnetometer holder; at least one magnetic field generating device having its position fixed relative to the magnetometers, and used to generate a calibration magnetic field distribution in a space to be measured; and a calculation device configured to calculate the magnitudes of magnetic field vectors at the positions of the magnetometers according to the calibration magnetic field distribution generated by the at least one magnetic field generating device in the space to be measured, receive measured magnitudes of the magnetic field vectors from the magnetometers, and calculate detection gain values of the magnetometers on the basis of the calculated magnitudes of the magnetic field vectors and the measured magnitudes of the magnetic field vector.

Calibration system and method for magnetometers

A system and a method for spatial positioning of magnetometers. Said system includes: magnetometers, a magnetometer support, first positioning markers, a photogrammetry system, and a controller. The first positioning markers are a non-rotationally-symmetrical pattern. The photogrammetry system includes photographing devices configured to photograph, at at least two of a plurality of photographing sites, first image data of the first positioning markers by means of one or more photographing devices. The controller is configured to receive data of the first image photographed by the photographing devices, calculate spatial positions of the first positioning markers on the basis of pre-obtained system parameters and the first image data, and then calculate spatial positions and spatial orientations of the magnetometers.

System and method for spatial positioning of magnetometers

Techniques described herein provide for automated detection of near-duplicate documents. In one example, a system can cluster documents into a set of clusters based on character frequencies associated with the documents. For a given cluster, the system can generate first similarity scores associated with every pair of documents in the cluster. The system can then select a filtered group of documents associated with first similarity scores that meet or exceed a first predefined similarity threshold. Next, the system can convert the filtered group of documents into matrix representations. The system can generate second similarity scores for every pair of matrix representations. The system can then identify documents, from among the filtered group of documents, associated with second similarity scores that meet or exceed a second predefined similarity threshold. The identified documents can be duplicate or near-duplicate text documents.

Automated near-duplicate detection for text documents

The present application provides a method for encoding motion vector information, including: determining, for a current block, one or more combinations of motion vector predictions and motion vector resolutions, based on a correspondence between motion vector resolutions in an MVR (motion vector resolution) list and motion vector predictions in a history-based motion vector prediction list; determining a combination of a motion vector resolution and a motion vector prediction for the current block from the determined one or more combinations; determining, for the current block, a prediction vector difference based on the motion vector prediction and the motion vector information of the current block; and encoding, into a bitstream, at least the final motion vector resolution information indicating the motion vector resolution and the motion vector prediction and motion vector difference information indicating the prediction vector difference.

Encoding/decoding method and apparatus for motion vector information

The present invention discloses a Fe—Al-based metal membrane and preparation method thereof, which relate to the technical field concerning gas-solid separation under high-temperature, low-pressure working conditions, and mainly address the defects of conventional metal filter elements in the prior art such as high filtration resistance and low flux under low-pressure working environments. The preparation method of the present invention comprises the steps of: stirring and defoaming a mixture composed of a Fe—Al-based metal powder and an organic-additive-added water-based solvent, thus obtaining a cast slurry; casting a uniform membrane layer on a metal substrate layer having a required thickness on a casting machine, and performing drying treatment on it, thus obtaining a membrane green body; and, placing the dried membrane green body in a sintering furnace for degreasing, sintering, and alloy phase ordering treatments, respectively, thus obtain a prepared Fe—Al-based metal membrane.

Fe—Al-based metal membrane and preparation method thereof

Various embodiments of the teachings herein include anomaly detection methods for a dynamic control system. An example method includes: using a g network to initialize a hidden state distribution of the system; receiving a measurement value of a sensor and a state value of a trigger at a current point of time; receiving a sampling point into an f network to perform a prediction to obtain a second sampling point; using an h network to map the second sampling point into a sensor measurement value space to perform a prediction to obtain a probability distribution of a measurement value of the sensor in the dynamic control system at the current point of time; and determining whether an anomaly exists in the dynamic control system by comparing the measurement value obtained from real-time monitoring and the probability distribution obtained from a prediction.

Anomaly detection method and apparatus for dynamic control system, and computer-readable medium

An iodine complex is formed by complexing a unit having a structure as represented by formula (I) with iodine molecules or iodine molecules with polyiodide ions formed by combining iodine ions. As a carrier, a polymer is complexed with iodine to obtain an iodine complex for formula (I). The iodine complex can be used as a radioactive marker, or used in an iodine therapeutic agent, or used in a polarizer. The polymer carrier has good biocompatibility. The content of iodine in the iodine complex can be adjusted according to requirements, and the content of the iodine can be adjusted within a range of 0.001-60%. The difference in the content of the iodine can affect the transmission clarity of the iodine complex as a radiographic marker.

Iodine complex and preparation method therefor and use thereof

A method for dialogue processing, an electronic device and a storage medium are provided. The specific technical solution includes: obtaining a dialogue history; selecting a target machine from a plurality of machines; inputting the dialogue history into a trained dialogue model in the target machine to generate a response to the dialogue history, in which the dialogue model comprises a common parameter and a specific parameter, and different machines correspond to the same common parameter.

Method for dialogue processing, electronic device and storage medium

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Beijing, China

Fan Wang