Tsinghua University

Beijing Baidu Netcom Science and Technology Co., Ltd.

Capitalbio Corporation

Chinese Academy of Sciences

Capitalbio Technology Corporation

Capitalbio Technoloogy Corporation

Beijing Gungyao Electricity Equipment Co. Ltd.

Di Jiang

Jing Cheng

Lei Shi

Wanli Xing

Jingzhou He

Guangxin Xiang

Yang Li

Xinyu Wang

Chen Bo Li

Guanbin Zhang

Huafang Gao

Jian Li

Can Wang

Yan Zhang

Zhiwei Zhang

Chao Zhou

Rui Chen

Yuxiang Zhou

Shuo Huang

Shiwei Huang

Pu Wang

Tianzi Jiang

Qiong Zhang

Guyue Zhou

Yong Fan

Zeyu Chen

Lingxiang Zhu

Huawei Yang

Wei Bi

Ning Du

Zhisheng Wang

Meng Liao

Yuhui Cao

Jiaxin Lin

Jiajun Jiang

Rongzhong Lian

Hujun Zhao

Yibin Wei

Guangrong Chen

Zhaojun Zhang

Dezhe Nan

Tixi He

Yingbin Su

Zhihui Liu

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.

Method, apparatus, server, and storage medium for recalling for search

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.

Luminophore-labeled molecules coupled with particles for microarray-based assays

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.

Searching method and searching apparatus based on neural network and search engine

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.

Method and apparatus for providing information based on artificial intelligence

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.

Method and apparatus for recalling search result based on neural network

A microarray-based assay is provided, which is used for analyzing molecular interactions, including polynucleotides, polypeptides, antibodies, small molecule compounds, peptides and carbohydrates. Such method comprises labeling a target molecule with a luminophore, coupling the target molecule to a particle, and binding to a probe molecule on microarray. In particular, multiplexed genetic analysis of nucleic acid fragments can be implemented. Specific genes, single nucleotide polymorphisms or gene mutations, such as deletions, insertions, and indels, can be identified. This technology, with high sensitivity, enables the detection and interpretation of molecular interactions in an efficient way.

A method for registering functional MRI data, comprising: computing the functional connectivity pattern for every voxel in its given spatial neighborhood for every fMRI image; extracting features invariant to spatial location of the neighboring voxels based on the functional connectivity patterns; constructing similarity metric between voxels of different images based on the extracted features, and using fluid-like demons registration model to spatial normalize the fMRI data. The present invention tries to exploit the multi-range functional connectivity information of the fMRI data, and to register functional MR images based on the extracted spatial-location-invariant features. The present invention is robust against local spatial perturbations and does not depend on the assumption that functional signals of different subjects are synchronic, hence can be applied to resting-state fMRI data, and can achieve a statistically significant improvement in functional consistency across subjects.

Method for registering functional MRI data

An AC plasma ejection gun, a method for supplying power to the gun, and a pulverized coal burner are provided. The ejection gun comprising a front electrode and a rear electrode. There is a gap between the electric rear electrode and said front electrode. The ejection gun can work with small current and large power, so that the life of the plasma ejection gun is prolonged.

AC plasma ejection gun, the method for supplying power to it and pulverized coal burner

The present invention provides kits and microarrays containing primer pairs for amplifying drug resistance genes and/or probes for detection of drug resistance genes. Also provided are methods of detecting drug resistance genes using kits and microarrays described herein.

Methods, microarray, and kits for detection of drug resistance genes in gram-negative bacteria

Growing community of inventors

Beijing, China

Di Jiang