Beijing Bytedance Network Technology Co., Ltd.

Boe Technology Group Co., Ltd.

Ge Precision Healthcare LLC

Beihang University

Hefei Boe Display Technology Co., Ltd.

Douyin Vision Co., Ltd.

Bitmain Technologies Limited

Machinery Technology Development Co., Ltd

Huawei Technologies Co., Limited

China Mobile Communications Group Co., Ltd.

Peng Zhao

Yang Liu

Bin Xu

Jun Zhang

Wei Cao

Lei Liu

Di Wu

Junyuan Xie

Chenliaohui Fang

Longyijia Li

Cheng Chen

Xiaobing Liu

Liangchao Wu

Yixiang Chen

Long Chang

Lizhe Zhang

Long Huang

Lei Shi

Min Liu

Jie Liu

Yuqing Li

Sheng Zhang

Wei Kang

Jianming Liu

Jinfeng Wang

Wenbo Dong

Huiming Wang

Chaoyue Wang

Kaiquan Cai

Kan Liu

Chunyu Wang

Jinbao Zhang

Xunwang Yu

Ruoxing Huang

Shihao Shen

Lingyuan Zhang

Deliang Fan

Chuanfu Zhang

Haoyuan Qu

Changchen Li

Xinyue He

Shitao Tian

Hanyu Wang

Xiang Wu

Yuhang Fang

Hanjie Xu

Provided are a method and a system for cooperative airborne meteorological perception with multiple aircraft. The method includes: determining a training set based on a spatial position, motion data, weather, an observation image, and static information of each of multiple aircraft; determining a fusion performance function based on an objective of a cooperative perception network; generating a fusion model based on the training set and the fusion performance function; generating a perception result image based on the fusion model; determining flight risk information based on the perception result image; determining a route alarm command and sending the route alarm command to a management user interface and an interactive device of a target aircraft; after receiving the route alarm command, generating, by the management user interface, a route adjustment parameter; in response to obtaining the route adjustment parameter, performing at least one of the following operations: adjusting an engine velocity, adjusting an aileron pressure, adjusting an elevator deflection, and adjusting a rudder deflection.

Methods and systems for cooperative airborne meteorological perception with multiple aircraft

A model construction method and an apparatus, and a medium and an electronic device are disclosed. The method is applied to a first participant platform, and includes: associating first configuration information pre-created by a first participant with second configuration information pre-created by a second participant; verifying the first configuration information; sending, to a second participant platform corresponding to the second participant, a second creation request for requesting the creation of the federated learning model, to cause the second participant platform to verify the second configuration information creating a first model task on the basis of a first parameter corresponding to the first configuration information; and performing co-training on the basis of the first model task and a second model task, to obtain the federated learning model.

Model construction method and apparatus, and medium and electronic device

A displaying module and a method for manufacturing the same, and a displaying, device, which relates to the technical field of displaying. The displaying module includes a liquid-crystal display panel, an adhering layer and an optical film that are arranged in layer configuration; the adhering layer is disposed between a shadow surface of the liquid-crystal display panel and the optical film, and is configured for adhesively bonding the liquid-crystal display panel and the optical film; and an orthographic projection of the adhering layer on the liquid-crystal display panel covers at least an active area of the liquid-crystal display panel, and an orthographic projection of the optical film on the liquid-crystal display panel covers at least the active area of the liquid-crystal display panel.

Displaying module and method for manufacturing the same, and displaying device

Provided in the present application are an assistance system and method for a suspension device, and an X-ray imaging system. The suspension device includes a tube device, a tube controller, a motion driving device and an assistance system. The motion driving device is capable of driving the suspension device to move along a first coordinate system. The assistance system includes a measurement device and a control device. The measurement device is disposed between the tube device and the tube controller so as to obtain an initial force of an operator, wherein the initial force includes the magnitude and direction of a force along a second coordinate system in which the measurement device is located. The control device includes a calibration unit and a calculation unit. The calibration unit is used for calibrating the initial force to obtain a calibrated force. The calculation unit is used for performing a coordinate transformation on the calibrated force to obtain a torque value corresponding to the first coordinate system, and sending the torque value to the motion driving device to enable the motion driving device to provide assistance on the basis of the torque value.

Assistance system and method for suspension device, and x-ray imaging system

Provided are a method and an apparatus for generating prediction information, an electronic device, and a computer readable medium. The method includes: generating, based on first user characteristic information of a target user, anonymous user information of the target user (); sending the anonymous user information to a second processing end to enable the second processing end to generate prediction information based on the anonymous user information and second user characteristic information () of the target user. Data interaction and sharing are realized while ensuring data privacy, thereby improving accuracy of the prediction information.

Method and apparatus for generating prediction information, electronic device, and computer readable medium

An Automated Guided Vehicle (AGV) scheduling method based on a narrow alley, electronic equipment and a storage medium are provided, and the method includes: through an AGV scheduling system, receiving a message that a to-be-driven-in AGV arrives at a driving-in platform, obtaining job information of each AGV in the narrow alley at the current moment, and determining whether the to-be-driven-in AGV can enter the narrow alley for performing the job fully according to the number of the AGVs in the narrow alley at the current moment, the job information and a loading/unloading position where the to-be-driven-in AGV will perform the job, so as to achieve concurrent collaborative job of the AGVs as many as possible in a confined workspace by making use of fragmented time and every bit of time, to form an efficient and flexible distribution solution, and to further achieve intelligent scheduling of the AGVs.

AGV scheduling method based on narrow alley, electronic equipment and storage medium

Data processor

Provided are a method for processing model parameters, and an apparatus. The method comprises: a model parameter set to be sharded is obtained, wherein the model parameter set comprises a multi-dimensional array corresponding to a feature embedding; attribute information for a storage system used for storing the model parameter set to be sharded is obtained, wherein the storage system used for storing the model parameter set to be sharded differs from a system on which a model corresponding to the model parameter set to be sharded is located when operating; the model parameter set to be sharded is stored in the storage system according to the attribute information.

Method for processing model parameters, and apparatus

A network connection method and device for a training participant of a joint training model are provided, the training participant operates in a master-worker mode. The method includes: acquiring communication state information of a worker, the communication state information indicating a communication connection phase that the worker is in; acquiring communication state information of a target worker as target communication state information, where the target worker includes a peer node corresponding to the worker, and the peer node belongs to a different training participant of the joint training model; and resetting, in response to determining that the target communication state information does not match the communication state information of the worker, a communication connection phase that the worker is in.

Network connection method and device for training participant end of common training model

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Beijing, China

Peng Zhao