Boe Technology Group Co., Ltd.

Chongqing Boe Optoelectronics Technology Co., Ltd.

Cambricon Technologies Corporation Limited

Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Xiaomi Mobile Software Co., Ltd.

Huawei Technologies Co., Limited

Chengdu Boe Optoelectronics Technology Co., Ltd.

Alibaba Group Holding Limited

Beijing Boe Technology Development Co., Ltd.

Ordos Yuansheng Optoelectronics Co., Ltd.

Beijing Xiaomi Pinecone Electronics Co., Ltd.

Banma Zhixing Network (Hongkong) Co., Limited

State Grid Digital Technology Holding Co., Ltd.

State Grid Blockchain Technology (Beijing) Co., Ltd.

Xiaomi Inc.

Shuai Chen

Xiuzhu Tang

Zhi Zhang

Xing Dong

Zhenguo Tian

Shuang Hu

Taoliang Tang

Lijun Xiong

Xuebo Liang

Jingpeng Zhao

Qian Qian

Lijun Xiao

Zhihui Wang

Hailong Wu

Siqing Fu

Lisheng Liang

Xianyong Gao

Kai Ye

Qiyuan Wei

Heecheol Kim

Fei Shang

Yuanbo Zhang

Shuai Hou

Zhijian Qi

Deheng Chen

Qian Wang

Qi Cheng Li

Qi Wang

Bo Xu

Jianfeng Yuan

Zhifan Feng

Chunguang Chai

Keke Gu

Hong Fan

Huan Wang

Gang Chen

Xu Lu

Yong Zhu

Zhi Hong Li

Ni Yang

Zhuo Xu

Shaoru Li

Tae Yup Min

Tao Lin

Yi Dan

Feng He

Hu Yang

Yanan Zhao

Chuan Li

Hui Li

Lei Miao

Bin Wang

Lei Chen

Xin Peng Liu

Dong Wang

Zhi Hu Wang

Zifeng Wang

Rui Wang

Wei Hu

Yang Wang

Jieqiong Wang

Guangquan Wang

Hong Yu Chen

Jian Yang

Yajie Bai

Ying Huang

Xiang Wang

Hyungkyu Kim

Tao Zhou

Qi Li

Xiaolong Liu

Lina Wang

Jun He

Fuyi Cui

Tiejun Liu

Mengjie Wang

Xiaolin Wang

Qiang Yu

Cheng Zuo

Dezhi Xu

Kangpeng Dang

Yanli Zhao

Da Li

Yunchao Zhang

Yan Xa Zhou

Yihjen Hsu

Jianghong Wen

Xinghong Liu

Zhiping Jia

Shaohong Gao

Dalong Mao

Taeyup Min

Min Ran

Kun He

Panpan Li

Xiaofeng Ma

Jiaxing Xuan

Wenlong Feng

Zhulin Liu

Chun Luo

A computer-implemented method is provided. The method includes: obtaining a sample text and a sample image corresponding to the sample text; labeling a true semantic tag for the sample text according to a first preset rule; obtaining a text feature representation of the sample text and a predicted semantic tag output by a text coding sub-model; obtaining an image feature representation of the sample image output by an image coding sub-model; calculating a first loss based on the true semantic tag and the predicted semantic tag; calculating a contrast loss based on the text feature representation of the sample text and the image feature representation of the sample image; adjusting parameters of the text coding sub-model based on the first loss and the contrast loss; and adjusting parameters of the image coding sub-model based on the contrast loss.

Method for training image-text matching model, computing device, and storage medium

Disclosed are a method for processing multimodal data using a neural network, a device, and a medium, and relates to the field of artificial intelligence and, in particular to multimodal data processing, video classification, and deep learning. The neural network includes: an input subnetwork configured to receive the multimodal data to output respective first features of a plurality of modalities; a plurality of cross-modal feature subnetworks, each of which is configured to receive respective first features of two corresponding modalities to output a cross-modal feature corresponding to the two modalities; a plurality of cross-modal fusion subnetworks, each of which is configured to receive at least one cross-modal feature corresponding to a corresponding target modality and other modalities to output a second feature of the target modality; and an output subnetwork configured to receive respective second features of the plurality of modalities to output a processing result of the multimodal data.

Multimodal data processing

A method of driving a scan circuit includes providing N number of first clock signals time-sequentially to (k*N) number of stages of the scan circuit, respectively. The (k*N) number of stages includes M number of groups. A respective group of the M number of groups includes one or more stages of the scan circuit. A respective first clock signal of the N number of first clock signals includes a first level component and a second level component. With respect to N number of data enabling signals, a difference between a starting point of a first level component of an n-th first clock signal and a starting point of an n-th data enabling signal of the N number of data enabling signals is equal to t. Values of tfor first clock signals provided to different groups of the M number of groups are different.

Method of driving scan circuit, scan circuit, and display apparatus

Methods, electronic device, and non-transitory computer-readable storage mediums are provided for semantic parsing. The equipment may obtain a first recognition result of a target statement. The first recognition result may include a first intention recognition result and a first entity recognition result. The first entity recognition result may correspond to a plurality of vertical domains. The equipment may also determine one of the plurality of vertical domains corresponding to the first entity recognition result as a target vertical domain corresponding to the target statement according to the first intention recognition result. The equipment may further convert the first entity recognition result into a second entity recognition result in the target vertical domain. The equipment may also parse an intention of the target statement according to the second entity recognition result.

Method, electronic device and storage medium for semantic parsing

A method of processing multimedia data, a device, and a medium, which relates to a field of an artificial intelligence technology, in particular to fields of knowledge graph and deep learning. The method of processing the multimedia data includes: recognizing the multimedia data so as to obtain at least one key information of the multimedia data; querying a predetermined knowledge base according to the at least one key information, so as to determine a multimedia name associated with the at least one key information and an association degree between the multimedia name and the at least one key information; and determining, in the multimedia name, a name of the multimedia data based on a similarity between alternative multimedia data for the multimedia name and the multimedia data, in response to the association degree being less than a first threshold value.

Method of processing multimedia data, device and medium

The present disclosure provides a shift register, a drive method thereof, and a gate drive circuit. The shift register includes an input circuit, a reset circuit, a first output circuit, and a second output circuit. The input circuit is configured to provide an input signal from an input terminal to a first node. The reset circuit is configured to provide a first voltage from a first voltage terminal to the first node under the control of a reset signal from a reset signal terminal. The first output circuit is configured to output from a first output terminal one of a first clock signal and a second clock signal as a first scan signal. The second output circuit is configured to output from a second output terminal the other of the first clock signal and the second clock signal as a second scan signal.

Shift register and drive method thereof, and gate drive circuit

Disclosed is a blockchain-based electricity charge settlement method and system for an energy storage station. A trusted terminal directly collects two-way electricity quantity data of an energy storage station, and distributes the two-way electricity quantity data to a blockchain; and a consensus node of a power-consuming enterprise and a consensus node of an energy storage station investment operator in the blockchain perform consensus calculation on the two-way electricity quantity data, and write the two-way electricity quantity data into the blockchain after reaching a consensus. The two-way electricity quantity data is accurate and cannot be tampered with, ensuring authenticity of the two-way electricity quantity data. A smart settlement contract is executed, an electricity charge settlement result is generated automatically to ensure authenticity of the electricity charge settlement result, and the electricity charge settlement result is written into the blockchain to prevent the electricity charge settlement result from being tampered with.

Blockchain-based electricity charge settlement method and system for energy storage station

The present disclosure provides a multi-purpose heat sink, a method of manufacturing the same, a board card, and a multi-purpose heat sink platform, where the multi-purpose heat sink is composed of a bracket () and heat dissipation components. The cost of the multi-purpose heat sink in the present disclosure is low.

Multi-purpose heat sink, method of manufacturing the same, board card, and multi-purpose heat sink platform

An image processing method and a device, where the image processing method is performed by a terminal having a digital zoom function, and the method includes determining a target zoom magnification based on a selection input of a user, collecting a to-be-processed image, and processing the to-be-processed image using a target super-resolution convolutional neural network model to obtain a processed image corresponding to the target zoom magnification, where the target super-resolution convolutional neural network model is obtained by training a super-resolution convolutional neural network model using a high-definition training image, a low-definition training image, and a mask image.

Training super-resolution convolutional neural network model using a high-definition training image, a low-definition training image, and a mask image

A driving method and a driving device for a display panel and a display device are provided. The display panel includes data line groups and multiplexers, each data line group includes at least three data lines, each multiplexer successively couples the input terminal thereof to the data lines electrically in the data line group in each line scanning period; and for at least one data line group, the driving method includes: acquiring data voltages to be output to the data lines in the data line group in a current line scanning period; in response to that the data voltages are not completely equal to each other, successively outputting the data voltages to the input terminal of the multiplexer corresponding to the data line group, and controlling the multiplexer to electrically couple the input terminal thereof to the data line to receive the data voltages.

Driving method and driving device for display panel and display device

A pixel circuit, a display substrate, a display device and a driving method are provided. The pixel circuit includes a data writing sub-circuit and a driving sub-circuit, and the data writing sub-circuit is connected to a scan signal terminal, a control signal terminal, a data signal terminal and a drive sub circuit. The data writing sub-circuit is used to output a data signal from the data signal terminal to the control node in response to a control signal provided by the control signal terminal and a scan signal provided by the scan signal terminal. The driving sub-circuit is connected to the control node, a power signal terminal and a light-emitting element, respectively, and is used to drive the light-emitting element to emit light in response to a potential of the control node and a power signal provided by the power signal terminal.

Pixel circuit, display panel, display device and driving method

Disclosed are a first shift register, a driving method for the same, a gate driving circuit and a display device. The first shift register includes a first unit, M second units and N third units. A first signal output terminal of the first unit is connected with M second signal input terminals of the M second units. A second signal output terminal of each second unit is connected with third signal input terminals of N/M third units respectively. The first unit outputs a voltage of a first clock signal terminal to the first signal output terminal and a fourth signal output terminal under the control of a first signal input terminal and a second clock signal terminal and outputs a voltage of a first voltage terminal to the first signal output terminal and the fourth signal output terminal.

First shift register, driving method thereof, gate driving circuit, and display device

A signal adjusting device and method, and a test equipment. The signal adjusting device includes: a level controller, a level circuit, a comparison circuit and a selecting circuit. The level circuit is electrically connected with the selecting circuit; the level controller is configured to perform a level adjustment to a first signal, so as to generate a level signal, and the generated level signal is outputted by the level circuit; the comparison circuit is configured to: determine that the level signal meets a preset condition, and generate and output a corresponding feedback signal to the selecting circuit, in response to determining that the level signal satisfies the preset condition; and the selecting circuit is configured to output, as an adjusted signal, the level signal corresponding to the feedback signal.

Signal adjusting device, signal adjusting method, and test equipment

The present disclosure relates to a system, a computing apparatus, a board card, and an electronic device for data accelerated processing. The computing apparatus may be included in a combined processing apparatus. The combined processing apparatus may also include a universal interconnection interface and other processing apparatuses. The computing apparatus interacts with other processing apparatuses to jointly complete computing operations specified by the user. The combined processing apparatus may also include a storage apparatus which is respectively connected to the computing apparatus and other processing apparatuses and is used for storing data of the computing apparatus and other processing apparatuses. The solution of the present disclosure can be applied to various electronic devices.

System, board card and electronic device for data accelerated processing

Growing community of inventors

Beijing, China

Shuai Chen