Beijing Baidu Netcom Science Technology Co., Ltd

Boe Technology Group Co., Ltd.

Google Inc.

Chinese Academy of Sciences

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

Jingdong Technology Information Technology Co., Ltd.

Chengdu Boe Optoelectronics Technology Co., Ltd.

Lenovo (beijing) Limited

Yale University

Baidu USA LLC

Ordos Yuansheng Optoelectronics Co., Ltd.

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

Beijing Wodong Tianjun Information Technology Co., Ltd.

Chao Ma

Hengshu Zhu

Kaichun Yao

Peng Wang

Yi Wang

Ming Zhao

Kuang Hu

Chuan Qin

Jing Wang

Jing Zhao

He H Liu

Xiao Wu

Chunwei Liu

Tong Xu

Wei Li

Jiangtao Hu

Wei He

Xiaodong Yang

Qi Luo

Jinghao Miao

Xinyu Liu

Yu Wang

Shu Jiang

Fei Chen

Ang Xiao

Jie Zhou

Jingshuai Zhang

Haibo Sun

Qifan Huang

Yiteng Zhang

Xitong Wang

Jinyun Zhou

Jiaxuan Xu

Cheng Chen

Liwei Huang

Yangyang Zhang

Azalia Mirhoseini

Zhiyong Yang

Jiangbing Zhou

Quanqin Sun

Chao Fu

Zhicheng Wang

Sudip Roy

Chenfei Qian

Shihua Huang

Dexiong Song

Kening Zhao

Jianqi Li

Qiumin Xu

Guanyu Lu

Guowei Li

Daniel Lin-Kit Wong

Amirali Abdolrashidi

Yanqi Zhou

Chen Zhu

Dazhong Shen

Shuaijian Wang

Chaofan Li

Long Cao

Xin Yang

Renhui Yang

Qun Lin

Leiyu Wang

Huanfang Tian

Gaolong Cao

Huaixin Yang

Xiao Wei

Xianwei Zhang

Hongjian Wu

Jijun Du

Ruiduo Li

Songhong Chang

Jin Li

A vehicle frame and a vehicle are provided. The vehicle frame includes the vehicle frame includes a frame body and an antenna device, and the frame body includes a plurality of supporting beams fixedly connected and is further provided with a protection part; and the antenna device is mounted on the frame body, and the protection part is disposed outside the antenna device, to block the antenna device from an object in an external environment.

Vehicle frame and vehicle

A method of training a model, a method of determining a word vector, a device, a medium, and a product are provided, which may be applied to fields of natural language processing, information processing, etc. The method includes: acquiring a first word vector set corresponding to a first word set; and generating a reduced-dimensional word vector for each word vector in the first word vector set based on a word embedding model, generating, for other word vector in the first word vector set, a first probability distribution in the first word vector set based on the reduced-dimensional word vector, and adjusting a parameter of the word embedding model so as to minimize a difference between the first probability distribution and a second probability distribution for the other word vector determined by a number of word vector in the first word vector set.

Method of training model, method of determining word vector, device, medium, and product

The present disclosure provides a method and an apparatus of matching data, a device and a computer-readable storage medium, which are related to the field of artificial intelligence technology, and in particularly to the field of intelligent search and deep learning. The specific implementation solution includes: obtaining a first instance of a resume and a second instance of a job profile; determining, for a meta path, a resume feature data of the first instance and a profile feature data of the second instance, the meta path is a knowledge graph path from the resume to the job profile; and applying a classification model to the resume feature data of the first instance and the profile feature data of the second instance to determine a matching result between the first instance and the second instance.

Method and apparatus of matching data, device and computer readable storage medium

Disclosed are a method and a system for data uploading, which belongs to the technical field of blockchain. The method comprises: receiving a block upload request sent by a slave server of a target node; determining whether block data corresponding to the block upload request has been uploaded to a block data storage system; if the block data corresponding to the block upload request is not uploaded to the block data storage system, acquiring the block data if the block data corresponding to the block upload request is not uploaded to the block data storage system, and uploading the block data to a storage space of the block data storage system; and sending an uploading success instruction to the slave server if the uploading is successful, so as to instruct the slave server to delete the block data stored on a light-weight peer in the target node.

Method and system for data uploading between blockchain nodes, and computer-readable storage medium

A system, a method and a device for developing a smart contract are provided. A particular embodiment of the system comprises a specification acquisition module configured to acquire specification of a target smart contract interface, a client development module configured to generate, on the basis of the specification of the target smart contract interface, a smart contract client side interface and a smart contract client side agent, the smart contract client side interface and the smart contract client side agent being used to construct a client smart contract application, and a server development module configured to generate, on the basis of the interface specification of the target smart contract, a smart contract server interface and a smart contract server skeleton, the smart contract server interface and the smart contract server skeleton being used to construct a server smart contract.

System, method and apparatus for developing smart contract

A method, an apparatus, a device and a medium for generating a recruitment position description text are provided. The method may include: obtaining the original text related to the target position; and generating a target recruitment position description text corresponding to the target position based on the original text and a pre-trained deep neural network model.

Method, apparatus, device and medium for generating recruitment position description text

Integrated mounted frame for an unmanned vehicle

A method, an apparatus, a device, a storage medium and a program product of performing a text matching are provided, which relate to a field of a computer technology, and in particular to natural language processing and deep learning technologies. The method includes: determining a word set and a plurality of semantic units from a text set, the word set is associated with a first predetermined attribute, and the text set contains a plurality of first texts indicating an object information and a plurality of second texts indicating an object demand information; generating a graph; and generating a final feature representation associated with the text set and the word set based on the graph and a graph convolution model, so as to perform the text matching.

Method, apparatus, device, storage medium and program product of performing text matching

Embodiments of the present application provide a block verification method, apparatus and device. The method includes: acquiring a block to be detected, where a plurality of transactions are stored in the block to be detected; obtaining a plurality of state operation queues according to a state item of each state operation in each transaction, where each state operation queue includes state operations belonging to the same state item; and performing parallel verification on each state operation queue and obtaining a verification result of the block. Each state operation of each transaction in the block to be detected is divided into the state operation queue corresponding to each state item according to the state item, and parallel verification is performed on each state operation queue.

Block verification method, apparatus and device

A display device and an electronic device are provided. The display device includes: a display screen; an electrically heated glass layer stacked onto the display screen, which includes a first transparent glass layer and a transparent conductive film layer, the transparent conductive film layer and the first transparent glass layer being stacked onto the display screen; a thermistor disposed adjacent to the display screen, for detecting a temperature of the display screen or a temperature at a position adjacent to the display screen; and a flexible circuit board, wherein an electrical connection terminal is provided on the transparent conductive film layer, the electrical connection terminal is electrically connected with the flexible circuit board, and the thermistor is electrically connected with the flexible circuit board.

Display device and electronic device

This application discloses a keyword generating method, an apparatus, a device and a storage medium, which relate to the field of natural language processing in the field of artificial intelligence. A specific implementation scheme includes: inputting a target text into a text processing model, obtaining a word sequence corresponding to the target text, and generating a semantic representation sequence corresponding to the word sequence; making prediction about each semantic representation vector in the semantic representation sequence respectively to obtain a prediction result; and if the prediction result indicates that a word corresponding to the semantic representation vector is capable of triggering a generation of a keyword, outputting the keyword based on the semantic representation vector and the prediction result. This method improves the accuracy of generating keywords.

Keyword generating method, apparatus, device and storage medium

A specimen preparation method for eliminating a membrane penetration effect on a highly-weathered rock, wherein the method makes an originally uneven surface of a specimen smooth using a cured liquid latex as a filler, thereby eliminating a membrane penetration effect on a highly-weathered rock, and comprises the following specimen preparation steps: specimen cutting, pit filling, surface smoothing, specimen shaping and specimen loading.

Specimen preparation method for eliminating membrane penetration effect on highly-weathered rock

A simulation of an autonomous driving vehicle (ADV) includes capturing first data that includes a control command output by an autonomous vehicle controller of the ADV, and capturing second data that includes the control command being implemented at a control unit of the ADV. The control command, for example, a steering command, a braking command, or a throttle command, is implemented by the ADV to affect movement of the ADV. A latency model is determined based on comparing the first data with the second data, where the latency model defines time delay and/or amplitude difference between the first data and the second data. The latency model is applied in a virtual driving environment.

Dynamic model with actuation latency

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for optimizing the execution of the operations of a neural network. One of the methods includes obtaining data representing a graph characterizing a plurality of operations of a neural network, wherein each node of the graph characterizes an operation of the neural network and each edge of the graph characterizes data dependency between the operations; processing the data representing the graph using a graph embedding neural network to generate an embedding of the graph; and processing the embedding of the graph using a policy neural network to generate a task output, wherein the task output comprises, for each of the plurality of operations of the neural network, a respective decision for a particular optimization task.

Computational graph optimization

Embodiments of the present disclosure provide a method and apparatus for recommending a test question, and an intelligent device. The method includes: acquiring a plurality of skill entities of a post; calculating, according to the data of the post, a weight value of each of the plurality of skill entities; and acquiring, according to the weight value of each skill entity, a recommended test question of the post from a question bank.

Method and apparatus for recommending test question, and intelligent device

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Beijing, China

Chao Ma