Beijing Baidu Netcom Science and Technology Co., Ltd.

International Business Machines Corporation

Boe Technology Group Co., Ltd.

Chinese Academy of Sciences

Beijing Boe Display Technology Co., Ltd.

Microsoft Technology Licensing, LLC

Tsinghua University

Alibaba Group Holding Limited

Chongqing Boe Optoelectronics Technology Co., Ltd.

Huawei Technologies Co., Limited

Beijing Boe Optoelectronics Technology Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

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

Beijing Baidu Netcom Science Technology Co., Ltd

Wuhan University

Zhi Hong Li

Zhongjun He

Haifeng Wang

Hao Xiong

Hua Wu

Bo Tong Liu

Ruiqing Zhang

Chuanqiang Zhang

Wei Li

Xi Chen

Yu Sun

Shuai Chen

Zhiqiang Wang

Ning Li

Zhanchang Bu

Xiao Dong Li

Li Cao

Xing Xing Shen

Wei Dai

Qin Yue Chen

Tao Lin

Ke He

Bin Cao

Qi-Kun Xue

Yucheng Li

Hening Zhang

Xu-Cun Ma

Li-Li Wang

He Jiang Jia

Namin Kwon

Minghui Ma

Jinhu Cao

Shikang Ge

Xi Xue Jia

Jin-Feng Jia

Zhou Xin

Fei Pan

Fengwu Yu

Xufeng Tu

Yong Xin Qi

Jiaxin Yu

Shuai-Hua Ji

Sheng Jie Bj Han

Zhuqing Zhang

Xinlei Cao

Enke Guo

Stone Tseng

Shu Han Weng

Wen-Hao Zhang

Qing-Yan Wang

Xushu Lu

Junlin Tian

Jonathan D Dunne

Wei Chen

Qi Cheng Li

Jing Wang

Fei Wang

Xiuyun Chen

Feng Yu

Tian Wu

Zihua Guo

Sheng Zhao

Hetao Wang

Richard Yuqi Yao

Xiaoguang Hu

Junjie Li

Kun Lu

Jingyang Xu

Shuohuan Wang

Xiao Feng

Xiaopan Zheng

Chiwei Che

Jinhong Zhang

Jin Zhang

Steven Oliver Elliott

Meilong Hu

Dae Keun Yoon

Chao Pang

Lin Zhao

Kai Yan

Shuquan Sun

Ao Zhang

Bo Zhao

Ji Chen

Wei Lin

Jiaxiang Liu

Jin Sheng Gao

Pung Pengyang Xu

Shuang Wang

Jingwei Wang

Lan Luo

Yun Jiang

Binggong Ding

Haikuo Gao

Hao Zheng

Jianzhong Zhao

Yumei Zhou

Yongkang Fei

Shenghao Qin

Kaixin Yuan

Smart projector

A method, computer program product, and a system where a processor(s), in a computing environment comprised of multiple containers comprising modules, includes a processor(s) parsing a module originating from a given container in the computing environment by copying various identifying aspects of a module file comprising the module and calculating, based on contents of the module file, a digest value as a unique identifier for the module file. The processor(s) stores the various identifying aspects of the module file and the digest value in one or more memory objects, wherein the one or more memory objects comprise a module content map to correlate the unique identifier for the module file with the contents of the module, images in the module file with the unique identifier for the module file, and layers with the unique identifier for the module file.

Performance of containers

This is a whole-lifecycle encrypted big data analysis method and system for the data from the different sources. The method performs unified local modeling of data from multiple data sources and transmitting them to a secure computing server after encryption. This secure computing server then processes and analyzes the data, including feature extraction, model training and model validation. The system includes multiple data sources corresponding to the described method and a secure computing server, for providing data, analyzing and processing the data. By processing and encrypting the data locally, and by supporting secure data sharing and federated learning of multiple data sources, this invention achieves protection of the data sources and addresses the privacy and security issues of the raw data for cross-institution big data collaborative analysis.

Whole-lifecycle encrypted big data analysis method and system for the data from the different sources

A computer-implemented method for determining influence of applications on system performance includes collecting, by a processor, for several applications that are executing on a computing system, respective instrumentation data during multiple time-segments. The method further includes determining, for each of the applications, a performance value and a robustness value for each of the time-segments based on the respective instrumentation data. Further, using the performance value and robustness value for each time-segment, multiple health-waveforms are generated, where a health-waveform is generated for each respective application. The method further includes determining, by the processor, an influence-factor of a first application on a second application, the first application and the second application are executing on the computing system. The method further includes adjusting, by the processor, allocation of a computer resource by releasing the computer resource from the first application and allocating the computer resource to the second application based on the influence-factor.

Determining influence of applications on system performance

An offset data acquisition method and device of a fluxgate magnetometer are provided by the present disclosure, wherein the offset data acquisition method of the fluxgate magnetometer comprises: controlling the first analog switch, the second analog switch and the third analog switch to change directions within a preset period to obtain eight switch direction combinations between the first analog switch, the second analog switch and the third analog switch; acquiring magnetic field measurement data corresponding to an each of the switch direction combinations; and the magnetic field measurement data comprises x-axis magnetic field measurement data, y-axis magnetic field measurement data and z-axis magnetic field measurement data; and acquiring the offset data based on influence factors of an offset and the magnetic field measurement data within the preset period.

Method and device for eliminating offset of fluxgate magnetometer

The present disclosure provides an LED assembly, a light source, and a liquid crystal display device. The LED assembly includes: a substrate; a plurality of blue LED chips which are disposed on the substrate at intervals and have different emission wavelengths; a white light phosphor layer which is disposed on the substrate and covers the plurality of blue LED chips; and a sealing frame which is disposed on the substrate and is configured to encapsulate the plurality of blue LED chips and the white light phosphor layer. The LED assembly encapsulates the blue LED chips having different emission wavelengths together, which can avoid LED mixing from an LED encapsulation source, thereby saving cost. Moreover, problems such as nonuniform images and chromatic aberration are basically avoided when the LED assembly is applied to an LCD module.

LED assembly, light source and liquid crystal display device

Embodiments of the present disclosure relate to a method and apparatus for evaluating a translation quality. The method may include: acquiring a to-be-evaluated translation and a reference translation; inputting the to-be-evaluated translation and the reference translation into a pre-trained repetition coding model to obtain a semantic similarity between the to-be-evaluated translation and the reference translation, the repetition coding model being a neural network for calculating a probability of a pair of sentences being repetition sentences; analyzing the to-be-evaluated translation and the reference translation into two syntax trees respectively; calculating a similarity between the two syntax trees as a text similarity between the to-be-evaluated translation and the reference translation; and using a weighted sum of the semantic similarity and the text similarity as a translation quality score.

Method and apparatus for evaluating translation quality

A method for text error correction includes: obtaining a text to be corrected; obtaining a pinyin sequence of the text to be corrected; and inputting the text to be corrected and the pinyin sequence to a text error correction model, to obtain a corrected text.

Method and apparatus for text error correction, electronic device and storage medium

A backlight assembly and a display device are provided. The backlight assembly includes a light guide plate, a light source, and a first reflector sheet. The light guide plate includes a bottom surface and a light emitting surface opposite to each other, and a light incident surface intersecting the bottom surface and the light emitting surface. The light source is on the light incident surface of the light guide plate. The first reflector sheet is on the bottom surface of the light guide plate and at an end of the light guide plate distal to the light source. The backlight assembly further includes a second reflector sheet proximal to the light source. The second reflector sheet is on the bottom surface and/or the light emitting surface of the light guide plate, and a reflectivity of the second reflector sheet is greater than 90%.

Backlight assembly and display device

A method for generating a vector representation of a text includes dividing the text into text segments. Each text segment is represented as a segment vector corresponding to the respective text segment by employing a first-level semantic model. The segment vector is configured to indicate a semantics of the text segment. Text semantics recognition is performed on the segment vector of each text segment by employing a second-level semantic model to obtain a text vector for indicating a topic of the text.

Method and apparatus for generating vector representation of text, and related computer device

Embodiments of the present disclosure disclose a method and apparatus for determining a topic. A specific embodiment of the method comprises: determining a to-be-recognized sentence sequence; calculating similarities between the to-be-recognized sentence sequence and each of topic templates in a topic template set in a target area, the each of the topic templates in the topic template set corresponding to a topic in at least one topic in the target area, the topic template including a topic section sequence, and a topic section including a topic sentence sequence; and determining a topic of the to-be-recognized sentence sequence according to an associated parameter, the associated parameter including the similarities between the to-be-recognized sentence sequence and the each of the topic templates in the topic template set. This embodiment reduces labor costs during a topic segmentation.

Method and apparatus for determining a topic

The present disclosure provides a translation processing method, a translation processing device, and a device. The first speech signal of the first language is obtained, and the speech feature vector of the first speech signal is extracted based on the preset algorithm. Further, the speech feature vector is input into the pre-trained end-to-end translation model for conversion from the first language speech to the second language text for processing, and the text information of the second language corresponding to the first speech signal is obtained. Moreover, speech synthesis is performed on the text information of the second language, and the corresponding second speech signal is obtained and played.

Translation processing method, translation processing device, and device

Embodiments of the present disclosure disclose a text translation method, a text translation apparatus, a device and a storage medium. The method includes: obtaining a source language text; and translating the source language text with a modified translation model to obtain a target language text corresponding to the source language text, the modified translation model being obtained by modifying an original translation model based on a text evaluation result of one or more translated texts for training, the translated text for training being an output result after translating through the original translation model, and the text evaluation result for evaluating a contextual semantic relation in the translated text for training.

Text translation method, device, and storage medium

Embodiments of the present disclosure provide a method and an apparatus for translating a polysemy, and a medium. The method includes: obtaining a source language text; identifying and obtaining the polysemy from the source language text; inquiring related words corresponding to each interpretation of the polysemy; determining a target interpretation corresponding to the related words contained in the source language text; and translating the polysemy into the target interpretation.

Method and apparatus for translating polysemy, and medium

User activity pertaining to a product is automatically analyzed. Based, at least in part, on the analyzing the user activity pertaining to the product, a temporal logging level model can be derived. The temporal logging level model can determine a first logging level to be applied to the product. The temporal logging level model also can determine a duration of time for which the first logging level is to be applied to the product. Application of the first logging level to the product for the determined duration of time can be initiated.

Real-time collaboration dynamic logging level control

Growing community of inventors

Beijing, China

Zhi Hong Li