Microsoft Technology Licensing, LLC

Semiconductor Manufacturing International (shanghai) Corporation

Semiconductor Manufacturing International (beijing) Corporation

Gem Services, Inc.

China National Research Institute of Food and Fermentation Industries Co., Ltd.

Other

Beijing Xiaomi Mobile Software Co., Ltd.

Beijing Zitiao Network Technology Co., Ltd.

North China Electric Power University

Semiconductor Manufacturing International Corp.

Semiconductor Manufacturing (shanghai) International Corporation

Semiconductor Manufacturing (beijing) International Corporation

China National Research Institute of Food and Fermentation Industries

State Grid Corporation of China

China Electric Power Research Institute

Ming Zhou

Furu Wei

Jianfeng Gao

Cheng Niu

Lei Cui

Long Jiang

Nan Duan

Chang-Ning Huang

Xinyun Xie

Shaohan Huang

Hua Wu

Anthony Chia

Lu Lu

Zhe Dong

Anthony C Tsui

Muyi Cai

Ruizeng Gu

Hongbo Yang

Ying Wei

Xingchang Pan

Xiaohua Liu

Haixin Zhang

Jing Wang

Liang Chen

Lei Shi

Yang Wang

Ji Li

Amit Srivastava

Hsiao-Wuen Hon

Yong Ma

Jun Lu

Matthew Robert Scott

Yuchen Wang

Mu Li

Yaguang Xu

Wenying Liu

Yongqing Ma

Kelu Cao

Guoming Li

Xingxing Zhang

Yuan Bi

Yang Liu

Zheng Chen

Yue Hua Zhang

William B Dolan

James Harnden

Lei Ji

Ting Liu

Hao Wei

Jian Jiao

Endong Xun

Li Dong

Duyu Tang

Liming Wong

Yeyun Gong

Mohammad Eslamy

Haoyong Zhang

Jian Wang

Wei Wang

Lei Zhang

Jian Qiao Sun

Wei-Ying Ma

Jian Xu

Tao Ma

Min Wang

Jian Jun Wang

Yi Chen

Ying Li

Benyu Zhang

Li Erran Li

Jing Zhao

Gang Chen

Zhen Li

Michael Gamon

Shen Huang

Gregory Nicholas Hullender

Lei Fang

Jian-Tao Sun

Weizhu Chen

Ruofei Zhang

Zhaohui Tang

Brian Burdick

Gary Kacmarcik

Xin Liang

Chin-Yew Lin

Shujie Liu

Yonggen He

Jiquan Liu

Weipeng Liu

Kati Amanda London

Bohua Zhong

Janine Crumb

Junjun Zhang

Huihua Hou

Lucy H Vanderwende

Zhentao Jin

Daxin Jiang

A chaos engineering experimentation method for a system, a device and a storage medium. Minimum experimental traffic of a service request required by a chaos engineering experiment is determined as target service request traffic; service request traffic is adjusted for a canary cluster in a to-be-tested server cluster according to the target service request traffic, where the canary cluster is a cluster formed by servers in the to-be-tested server cluster, the servers being used for canary release when a service is upgraded; an experimental task of the chaos engineering experiment is executed in the canary cluster, and an experimental result is outputted. The chaos engineering experiment is conducted on the canary cluster, and the service request traffic of the canary cluster is adjusted to the minimum experimental traffic of the service request required by the chaos engineering experiment.

Chaos engineering experimentation method for system, device and storage medium

An oyster peptide with an effect of improving sexual function and a preparation method thereof are provided, the oyster peptide at least includes peptide segments RI, IR and VR in its composition. Based on a mass of the oyster peptide, a content of the RI is ≥3.60 mg/100 g, a content of the IR is ≥7.60 mg/100 g, and a content of the VR is ≥6.50 mg/100 g.

Oyster peptide with effect of improving sexual function and preparation method thereof

A pharmaceutical composition contains tizoxanide and choline hydroxide, a choline salt of tizoxanide and crystal form thereof. A mixture of tizoxanide and choline hydroxide, or a salt thereof and crystal form of the salt significantly improve the solubility and bioavailability of tizoxanide, and exhibits favorable effects in drugs for treating viruses, fibrosis, bacteria, tumors and intestinal parasites.

Pharmaceutical composition comprising tizoxanide and pharmaceutical use thereof

Systems and methods are provided for generating a keyword sequence from an input query. A first text sequence corresponding to an input query may be received and encoded into a source sequence representation using an encoder of a machine learning model. A keyword sentence may then be generated from the source sequence representation using a decoder of the machine learning model. The decoder may generate a modified generation score for a plurality of prediction tokens, wherein the modified generation score is based on the respective prediction token generation score and a maximum generation score for a suffix of each prediction token. The decoder may then select the prediction token of the plurality of prediction tokens based on the modified generation score, and add the selected prediction token to the previously decoded partial hypothesis provided by the decoder.

Look ahead strategy for trie-based beam search in generative retrieval

A transformer-based neural network includes at least one mask attention network (MAN). The MAN computes an original attention data structure that expresses influence between pairs of data items in a sequence of data items. The MAN then modifies the original data structure by mask values in a mask data structure, to produce a modified attention data structure. Compared to the original attention data structure, the modified attention data structure better accounts for the influence of neighboring data items in the sequence of data items, given a particular data item under consideration. The mask data structure used by the MAN can have static and/or machine-trained mask values. In one implementation, the transformer-based neural network includes at least one MAN in combination with at least one other attention network that does not use a mask data structure, and at least one feed-forward neural network.

Transformer-based neural network including a mask attention network

A selenium-chelating pea oligopeptide, a preparation method thereof and use thereof. After the selenium-chelating pea oligopeptide is subjected to digestion treatment in at least one of following three ways, a change rate of selenium content not more than 3% with respect to the selenium content before the digestion treatment: hydrolyzing for 4 hours by a pepsin at a pH value of 2 and a temperature of 37° C.; hydrolyzing for 6 hours by a trypsin at a pH value of 7.5 and a temperature of 37° C.; maintaining the temperature constant at 37° C., firstly hydrolyzing for 4 hours by the pepsin at a pH value of 2, and then continuing to hydrolyze for 6 hours by a trypsin at a pH value of 6.8. The preparation method thereof includes mixing and reacting an aqueous solution of pea oligopeptide and sodium selenite, and then being subjected to alcohol precipitation and drying.

Selenium-chelating pea oligopeptide, and preparation method and use thereof

The present disclosure provides a technical solution of multi-modal chatting, which may provide response to user query by using multi-modal response in the interaction between chatbot and human beings, so that the expressing ways and the expressed content by the chatbot could be richer by using such response in a multi-modal way.

Videochat

Implementations of the present disclosure relate to text generation with a customizable style. In a method, a first natural language is received; the first natural language text is converted, via a text generation model, into a second natural language text that at least partly reflects the meaning of the first natural language text and has a style distinguishable from the first natural language text, the text generation model comprising a modifiable parameter; and in response to receiving a modification to the parameter, the first natural language text is converted, via the text generation model, into a third natural language text that at least partly reflects the meaning of the first natural language text and includes a style distinguishable from both the first natural language text and the second natural language text.

Text generation with customizable style

Semiconductor structure and fabrication method are provided. The semiconductor structure includes: a substrate and a magnetic tunnel junction on the substrate. The magnetic tunnel junction includes: a bottom electromagnetic structure on the substrate, an insulating layer on the bottom electromagnetic structure, and a top electromagnetic structure on the insulating layer. The semiconductor structure further includes a sidewall tunneling layer on sidewall surfaces of the magnetic tunnel junction.

Semiconductor structure and fabrication method thereof

According to implementations of the subject matter described herein, there is provided a solution for generating a summary of a document. In this solution, feature information of pages comprised in a document is extracted, which characterizes at least one type of content contained in each page. Respective importance of the pages is determined at least based on the extracted feature information. A summary of the document is generated for the document by selecting a predetermined number of pages less than the number of the pages based on the respective importance. Through the solution, instead of providing all the pages, pages containing important content may be determined automatically to serve as the summary of the document. This summary allows the user to learn quickly main content of the document, shorten the time consumed in browsing all documents and/or facilitate location of a document of interest as soon as possible.

Generating document summary

Aand uses thereof. Thehas a deposit number of CGMCC No. 14813. Thecan be used for increasing the amount of an organic acid in a raw material. Thecan be used for fermenting the raw material, where the raw material can be selected from at least one of fruits, which can increase the content of the organic acid in a fermented product.

Lactobacillus paracasei and uses thereof

A method for forming a semiconductor structure is provided. The method includes providing a substrate, where the substrate includes a conductive layer therein, and a surface of the substrate exposes a surface of the conductive layer; forming a groove adjacent to the conductive layer in the substrate, where the groove exposes a portion of a sidewall surface of the conductive layer; and forming a lower electrode layer in the groove and on a top surface of the conductive layer.

Semiconductor structure formation method

In embodiments of the present disclosure, there is provided an approach for fact checking based on semantic graphs. According to embodiments of the present disclosure, after obtaining a text to be fact checked, a plurality of evidence sentences related to the text are retrieved from an evidence database. Then, semantic graphs of the text and the evidence sentences are constructed based on the semantic analysis, and a veracity of a statement in the text can be determined based on the semantic graphs. Embodiments of the present disclosure propose a graph-based reasoning approach for fact checking, and use the constructed semantic graphs to facilitate verification of the truthfulness of the text, thereby improving the accuracy for fact checking.

Fact checking based on semantic graphs

VideoChat

The present disclosure provides a technical solution of live comments generating, which may acquire candidate texts highly similar with segments of video as live comments of corresponding segments by matching the candidate texts with the segments, and further generate new live comments based on video segments and existed live comments to enrich the live comments information of related video.

Live comments generating

Growing community of inventors

Beijing, China

Ming Zhou