Huawei Technologies Co., Limited

Shenzhen Cuco Smart Technology Co., Ltd

Other

Tencent Technology (shenzhen) Company Limited

Huawei Device (dongguan) Co., Ltd.

Shenzhen Shinesky Optoelectronics Co., Ltd

Hewlett Packard Enterprise Development LP

Otis Elevator Company

Alibaba Group Holding Limited

Byd Company Limited

Honor Device Co., Ltd.

Gree Electric Appliances, Inc. of Zhuhai

Nanjing University of Technology

Shenzhen Tianyi Technology Co., Ltd.

Huawei Device Co., Ltd.

Bin Wu

Cai Chen

Sen Zhang

Pingkai Ouyang

Jing Liang

Xiaoqian Li

Fengxi Jing

Xueming Wu

Jianlin Chu

Fuhao Qiu

Peng Qu

Bingfang He

Chao Wang

Kai Liu

Feng He

Bo Wang

Li Qian

Huimin Zhang

Shuang Wu

Zhenguo Li

Xiuqiang He

Xiaofei Guo

Hongyu Wang

Shulin Liang

Hui Si

Zhifeng Xia

Chunqi Zhang

Jianfeng Gu

Xianxian Zhang

Qingsong Xiao

Yanjun Zhang

Junfeng Ma

Weiwei Fu

Xiaofeng Xu

Jinsong Liu

Canquan Shen

Zejin Guo

Shuwen Lv

Haiquan Yang

Feng Qiu

Shifeng Li

Xiaodong Qian

Su Rong

Baochuan Long

Luru Jing

Lianjun Du

Fengwei Zhou

Guixian Mou

Yiming Feng

Yujia Zhai

Qinxin Lin

Jing-Hao Ju

Tsung-Yu Li

Zongyan Chen

Yimou Sun

Gang Tan

Wenbiao Wen

Jinnan Zhou

Zhiyong Yao

Liyun Wan

Hong Zheng

Panju Shang

Jinsong You

An interaction method includes displaying a video interaction interface in a live streaming application, the video interaction interface including a social video uploaded by a live streaming account; receiving a selection operation on the social video; and based on a social relationship confirmation signal of the live streaming account, displaying an interaction interface for a social interaction with the live streaming account.

Interaction method, apparatus, device, and storage medium based on live streaming application

The disclosure provides a control method, a control apparatus and a cloud-based control system, and belongs to the technical field of cloud-based control. The control method includes: receiving first identification information sent by a client, wherein the first identification information comprises a first identifier and first position information of a device to be controlled; verifying whether the first identifier corresponds to the first position information; if the first identifier corresponds to the first position information, sending a verification requirement to the client, wherein the verification requirement is used for requesting a user to control the device to be controlled at a position of the device to be controlled; receiving a control instruction for the device to be controlled sent by a current control device; determining, according to the verification requirement and the control instruction, whether the client has control permission to the device to be controlled; if the client has the control permission, receiving a remote control instruction sent by the client, and controlling the device to be controlled through the current control device.

Control method, control apparatus and cloud-based control system

Hair dryer

Socket

A manufacturing method of an anti-glare light strip is provided. The anti-glare light strip includes a light body. The light body includes a light diffusion layer, light shielding layers respectively arranged on two sides of the light diffusion layer, light body shells respectively arranged on outer sides of the light shielding layers, and an anti-glare sheet. A top portion of the light diffusion layer and top ends of the light shielding layers jointly define a mounting groove. A one-time co-extrusion process, two times of co-extrusion processes, or a co-extrusion process and a sleeve process are adopted to manufacture the anti-glare light strip. After processing, the light-transmitting layer has good sealing and high surface flatness. There is no holes on a surface of the anti-glare light strip and there is no dust accumulation, thus avoiding affecting a luminous effect.

Manufacturing method of anti-glare light strip

A vehicle-mounted power supply apparatus includes a housing, a magnetic device, and a shielding component. The housing includes a mounting position, a magnetic device includes an integrated part disposed at the mounting position, and a shielding component is disposed in the housing and surrounds a periphery of the mounting position.

Vehicle-mounted power supply apparatus and vehicle having same

Embodiments of this application relate to the technical field of camera modules to resolve an issue of miniaturization of camera modules. The embodiments of this application provide a camera module and an electronic apparatus. The camera module includes: a circuit board; an image sensor and a driver circuit that are located on the circuit board; an upper lens barrel and a lower lens barrel that are located on a side of the image sensor away from the circuit board; a connecting circuit located on the lower lens barrel; and an adjustable lens disposed inside between the upper lens barrel and the lower lens barrel. The adjustable lens is electrically connected to the driver circuit through the connecting circuit, so as to deform under driving of the driver circuit to adjust a focal power of the camera module. Such camera module has an advantage of small volume ratio.

Camera module and electronic apparatus

Accessory for hair dryers

This application provides an application program (APP) management method, a terminal device, a server, and a system. According to the method, APPs downloaded on a terminal device can be automatically clustered. This saves time of a user and improves user experience. The method is applicable to a terminal device, and the method includes: obtaining a target desktop folder based on type information of an APP downloaded by the terminal device and attribute information of a desktop folder on the terminal device, where the downloaded APP is to be clustered in the target desktop folder; and clustering the downloaded APP into the target desktop folder.

Application program app management method, terminal device, server, and system

Embodiments of the present invention provide a machine learning model training method, including: obtaining target task training data and N categories of support task training data; inputting the target task training data and the N categories of support task training data into a memory model to obtain target task training feature data and N categories of support task training feature data; training the target task model based on the target task training feature data and obtaining a first loss of the target task model, and separately training respectively corresponding support task models based on the N categories of support task training feature data and obtaining respective second losses of the N support task models; and updating the memory model, the target task model, and the N support task models based on the first loss and the respective second losses of the N support task models.

Machine learning model training method and apparatus

This application provides an IO request processing method, used in an external device. The external device includes a processor and a first hardware interface, and the first hardware interface is an interface that supports a PCIe protocol. The external device communicates with a physical host through the first hardware interface. The method includes: The processor synchronizes, through the first hardware interface, queue information in storage space of a virtual machine running on the physical host to storage space of the external device, where the queue information includes one or more input/output IO requests; and the processor sends the one or more IO requests to a storage server or a network server for processing. According to this application, all hardware resources of the physical host can be used to provide virtual machine services for users, thereby improving utilization of hardware resources of the physical host.

IO processing method and apparatus

A service quality evaluation method and a terminal device for a communications field includes obtaining a candidate evaluation phrase set including at least one first candidate evaluation phrase, where the at least one first candidate evaluation phrase is obtained by analyzing to-be-analyzed evaluation data of a target service using a target analysis model, wherein the at least one first candidate evaluation phrase includes an evaluation phrase having personalized information content to evaluate service quality of the target service, displaying the at least one first candidate evaluation phrase and a first to-be-selected evaluation phrase, determining a first action type according to an obtained first moving track, determining a target evaluation phrase from the at least one first candidate evaluation phrase and the first to-be-selected evaluation phrase according to the first action type, and sending service quality evaluation content including the target evaluation phrase.

Service quality evaluation method and terminal device

This application discloses a method, an apparatus, and a device for scheduling virtual objects in a virtual environment, which relate to artificial intelligence (AI), and belong to the field of computer technologies. The method includes: obtaining frame data generated by an application program associated with the virtual environment; performing feature extraction on the frame data to obtain a state feature of a target virtual object; performing deduction on the state feature of the target virtual object according to N scheduling policies; invoking a value network prediction model to process the N subsequent state features, to obtain expected returns of executing N scheduling policies; and controlling the target virtual object to execute a scheduling policy having a highest expected return.

Method, apparatus, and device for scheduling virtual objects in virtual environment

Growing community of inventors

Shenzhen, China

Bin Wu