Hewlett Packard Enterprise Development LP

Baidu USA LLC

International Business Machines Corporation

Baidu.com Times Technology (beijing) Co. Ltd.

Boe Technology Group Co., Ltd.

Peking University

Beihang University

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

Beijing Zitiao Network Technology Co., Ltd.

Apollo Intelligent Driving Technology (beijing) Co., Ltd.

University of Science and Technology Beijing

Beijing Founder Electronics Co., Ltd.

Beijing Microlive Vision Technology Co., Ltd

Beijing Youzhuju Network Technology Co., Ltd.

Beijing Institute of Spacecraft System Engineering

Shuai Wang

Jun Qing Xie

Manjiang Zhang

Xiaofeng Yu

Qun Yang Lin

Shuangcheng Guo

Xiangye Wei

Jennifer A Mallette

Steven Ware Jones

Vivek Salve

Jie Feng

Yiming Bai

Ruchi Asthana

Jacob Lewis

Xunteng Xu

Jia Liu

Bin Jia

Yaoming Shen

Qiong Wu

Davy Huang

Hong Wei Sun

Yan Rong Shen

Dapeng Li

Shengjin Zhou

Lingchang Li

Yadong Mu

Ge Ou

Xi Xue Jia

Dezhi Zheng

Xianfei Li

Jian Wang

Bo Zhang

Tao Li

Li Zhou

Yingzi Wang

Kyu-Han Kim

Rui Guo

Tong Liu

Chao Wu

Feng Chen

Gang Zhang

Zheng Zhou

Ning Qu

Qin Yue Chen

Xiaoguang Xu

Dongsheng Huang

Xianbin Cao

Qi Liang

Zhihong Liu

Tiffany Zhang

Jianming Liu

Hui Hua

Mengmeng Zhang

Yunfeng Shi

Xiangfei Zhou

Zhenhua Li

Li Wan

Qiang Ju

Ji Wan

Dan Guo

Guoguang Li

Xiangtao You

Wensong He

Xi Zhang

Yafei Miao

Kening Zhao

Xinya Zhang

Dexing Qi

Wenming Wang

Liuhui Zhang

Chongchong Li

Yong Xin Qi

Hualong Zu

Shengyi He

Huibo Zhang

Aixiang Qi

Fan Jia

Xiaonan He

Jingyu Ye

Xiaochen Jia

Hongbo Ma

Baoyu Wang

Longfei Lin

Cuiping Yang

Hangjian Yuan

Lingjin Xu

Hongxing Zhang

Guanglong Man

Jiaguang Lu

Zhongji Fan

Sunhonglu Dong

Haidong Liu

Hongshun Shen

Jun Yue

JunQing Xie

Shengqiang Liu

Dongxiao Liu

Shuailei Zhang

Nan Zhuang

A convolution operation method, a convolution operation apparatus, an electronic device and a storage medium. The method includes: determining an operation convolution kernel, wherein the operation convolution kernel is obtained on the basis of an initial convolution kernel; adjusting an arrangement mode of input data on the basis of the number of channels of the operation convolution kernel, so as to obtain target data, wherein the size of the target data and the number of channels of the target data are different from the size of the input data and the number of channels of the input data, and the number of channels of the target data is equal to the number of channels of the operation convolution kernel; and performing a convolution operation on the basis of the target data and the operation convolution kernel, so as to obtain a convolution operation result.

Convolution operation method, convolution operation apparatus, electronic device and storage medium

This application discloses a touch panel and a human-computer interaction method based on a touch panel. The touch panel includes a base substrate, at least one pressure detector and at least one actuator arranged on the base substrate, and a driving circuit. The at least one pressure detector is electrically connected to the driving circuit, and the driving circuit is electrically connected to the at least one actuator.

Touch panel and human-computer interaction method based on touch panel

Disclosed in embodiments of the present disclosure are a bullet screen adding method and apparatus, an electronic device and a storage medium. The method includes: in response to a bullet screen adding request for a video, displaying a bullet screen editing interface, wherein a video preview picture of the video is displayed on the bullet screen editing interface; and in response to a bullet screen editing operation, displaying preview information of the bullet screen on the video preview picture displayed on the bullet screen editing interface, wherein the bullet screen is an associated bullet screen of an object in the video.

Comment adding method and apparatus, electronic device and storage medium

A hardware unit of an ADV comprises an input port to directly receive data from one or more sensors perceiving a driving environment. The hardware unit is coupled with the one or more sensors to perform data processing of the data from one or more sensors. The hardware unit comprises a monitor unit to monitor a data rate of output data after the data processing. The hardware unit further comprises a self-adjustment unit to dynamically configure and adjust the data processing based on the data rate of output data. The hardware unit further comprises an output port to transfer the output data to an autonomous driving system (ADS) of the ADV to control the ADV to drive autonomously based on the output data.

Dynamic signal transfer configuration for driverless vehicle remote monitoring

An atmospheric parameter measuring device includes a cone top, a balance rod an upper propeller, a lower propeller, a transmission module, an accelerating module, a DC generator, an object-carrying shell, an inertial generation module, a wireless energy-carrying communication module, a sensor carrier, a base, an airbag and a low-power-consumption sensor. Electric energy can generate by using four methods of wind energy, microwave, inertia and solar energy, so the energy supply for the carried low-power-consumption sensor can be ensured and the measuring device can generate electric energy at day and night to ensure the working state of the carried low-power-consumption sensor and measure the atmospheric temperature, humidity, wind speed, intensity of pressure and cloud and water grain shape parameters at the current position conveniently; the measuring device can float in the air by the lift force provided by the rotation of the two propellers.

Atmospheric parameter measuring device for air sounding

A titanium alloy blade tip with a wear-resistant protective coating and a preparation method thereof are provided. The method includes: (1) spraying MCrAlY alloy powder on a surface of a titanium alloy blade tip by high velocity oxygen fuel (HVOF) spraying at a spraying distance of 300-400 mm to obtain the titanium alloy blade tip with a MCrAlY layer on the surface; where M is one of Ni and NiCo; (2) pre-plating Ni at a current density of 4-10 A/dm; (3) placing the pre-plated titanium alloy blade tip in a Watt solution, covering a surface of the pre-plated titanium alloy blade tip obtained in the step (2) with abrasive particles, and then performing composite electroplating at a current density of 0.5-2 A/dm. In the method, the wear-resistant protective coating with the high adhesion strength is prepared on the titanium alloy blade tip, and the wear-resistant protective coating has good wear resistance.

Titanium alloy blade tip with high adhesion strength and wear-resistant protective coating and preparation method thereof

A dropsonde with a dandelion-like structure includes a support system, a rotor wing system, a rotor wing restraint system, a sensing main control system and an electrical damping system, the support system further comprising a hollow upper strut, a hollow lower strut, an upper disc fixedly connected to top of the upper strut and a lower disc fixedly connected to top of the lower strut, the upper strut is partially inserted into the lower strut, and the upper parts of the upper disc and the upper strut are exposed outside the lower strut; wherein the rotor wing system includes a plurality of upper rotor wings, a plurality of lower rotor wings, a plurality of upper springs, a plurality of lower springs, a plurality of upper connecting members and a plurality of lower connecting members.

Dropsonde with dandelion-like structure

The present disclosure provides an image processing method, apparatus, device, and computer-readable storage medium. The method includes: obtaining an image dataset, the image dataset including an image and an accompanying text related to an unseen class in the image; and generating a probability and/or distribution of the unseen class using an unseen class obtaining model, the probability and/or distribution of the unseen class including a probability that each pixel in the image is from the unseen class, a probability that the unseen class is present in the image, and a regional probability after the image is subdivided into a plurality of regions.

Image processing method, apparatus, and computer product for image segmentation using unseen class obtaining model

An electronic apparatus and a method for displaying an image on a display device are disclosed. The electronic apparatus includes a display device; an image acquisition device configured to acquire a surrounding image of the display device; and a processor configured to: determine a background image of the display device according to the surrounding image; acquire a target range and a target object in the background image; determine a target image according to the background image, the target range and the target object; and control the display device to display the target image, wherein the target image excludes the target object.

Electronic apparatus, and method for displaying image on display device

Provided is a clock signal generation circuit. The clock signal generation circuit includes a control word generation circuit, an initial clock generation circuit and a spread spectrum clock generation circuit, wherein the control word generation circuit is connected to the initial clock generation circuit and the spread spectrum clock generation circuit; the initial clock generation circuit is further connected to the spread spectrum clock generation circuit.

Clock signal generation circuit and method, and electronic device

In some implementations, a method is provided. The method includes determining a first set of data acquisition characteristics of a first sensor of an autonomous driving vehicle. The method also includes determining a second set of data acquisition characteristics of a second sensor of the autonomous driving vehicle. The method further includes synchronizing a first data acquisition time of the first sensor and a second data acquisition time of the second sensor, based on the first set of data acquisition characteristics and the second set of data acquisition characteristics. The first sensor obtains first sensor data at the first data acquisition time. The second sensor obtains second sensor data at the second data acquisition time.

Synchronizing sensors of autonomous driving vehicles

The present disclosure provides a pixel driving circuit, an array substrate and a display panel. The pixel driving circuit of the present disclosure includes a switch transistor and N redundant switch transistors, the switch transistor and the N redundant switch transistors are connected in series, a second electrode of an Nredundant switch transistor is coupled to a first electrode of the switch transistor, and a second electrode of the switch transistor is coupled to a display electrode.

Pixel driving circuit, array substrate and display panel

The present disclosure provides a positive-pressure-withstanding high-power flat evaporator, processing methods thereof and a flat loop heat pipe including the evaporator. The evaporator includes a housing, and reinforcing ribs and a capillary wick which are positioned inside the housing, and the arrangement of the reinforcing ribs can ensure that the strength of the whole evaporator is capable of withstanding positive pressure. The capillary wick is composed of four parts, namely, an evaporating wick, a heat insulating wick, a sealing wick and a transfer wick. Through the large permeability of the transfer wick, liquid supply with low flow resistance can be realized, the heat transfer capability of the loop heat pipe is greatly improved, and the problems of long liquid supply path and large flow resistance caused by a large-area evaporator are solved.

Positive-pressure-withstanding high-power flat evaporator, processing methods thereof and flat loop heat pipe based on evaporator

A method, system, and computer program product for routing queries to answer resources based on component parts and intents of a received query is provided. The method receives a query from a user. The query is analyzed to identify a set of entities associated with the query and generate an utterance representing the query. The method generates an intent classification for the utterance and a vector for the query. The vector is generated based on the set of entities, the utterance, and the intent classification. The method determines an answer resource for the query based on the vector and the intent classification of the query. In response to determining the answer resource, the method provides an answer interface based on the query, the vector, and the intent classification. The answer interface dynamically provides a response to the query.

Query routing for bot-based query response

A computer-implemented method, a computer system, and a computer program product for automatically generated conversation output is provided. The present invention may include training an answer-intent classifier to associate an intent expressed in an example question with an example answer that is responsive to the example question. The present invention may further include classifying, using the trained answer-intent classifier, a content transmitted to the trained answer-intent classifier with the intent expressed in the example question in response to determining, using the trained answer-intent classifier, that the content includes relevant information for generating the example answer that is responsive to the example question.

Automatically generated conversation output

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Beijing, China

Shuai Wang