Boe Technology Group Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Prosit Sole Biotechnology (beijing) Co, Ltd

Peking University

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Founder Electronics Co., Ltd.

Hongyu Liu

Gang Wang

Xibin Shao

Haifeng Wang

Ke Fei Wang

Dianhai Yu

Yanjun Ma

Xiang Lan

Zenghui Sun

Mingzhi Zhao

Hetong Sun

Tian Wu

Liujie Zhang

Huihuang Zheng

Hua Wu

Wei Zhou

Junrui Zhang

Zhongjun He

Shiqi Zhao

Xiaoguang Hu

Weiping Huang

Wenjie Hu

Chuanzhen Liu

Weihang Chen

Yamei Li

Jiabin Yang

A method and apparatus of constructing a network model for deep learning, a device, and a storage medium, which relate to artificial intelligence, and in particular to a field of deep learning. The method of constructing the network model for deep learning includes: determining an execution mode for executing codes, based on a mode parameter; executing the codes by using a first component, which is executable in a first execution mode, through a syntax element in the codes, in response to determining that the execution mode is the first execution mode; and executing the codes by using a second component, which is executable in a second execution mode, through the syntax element, in response to determining that the execution mode is the second execution mode; wherein the first component and the second component have the same component interface, and the syntax element corresponds to the component interface.

Method of constructing network model for deep learning, device, and storage medium

The present disclosure provides an operator registration method and apparatus for a deep learning framework, a device and a storage medium, relates to the field of computer technologies, and specifically to the field of artificial intelligence such as deep learning. The operator registration method for a deep learning framework includes: receiving registration information provided by a user for registering operators with the deep learning framework, the registration information including: a custom calculation function, the custom calculation function being written in a manner irrelevant to the deep learning framework; building operator meta-information in the deep learning framework based on the registration information; and constructing a to-be-registered operator within the deep learning framework based on the operator meta-information, and registering the to-be-registered operator in a global operator table within the deep learning framework. The present disclosure can simplify an operator registration process.

Operator registration method and apparatus for deep learning framework, device and storage medium

A method and apparatus of converting a schema in a deep learning framework, an electronic device, and a computer storage medium are provided. The method of converting the schema in the deep learning framework includes: updating a first schema, based on first syntax elements in the first schema and a context relationship between the first syntax elements in the first schema, so as to obtain an updated first schema; generating second syntax elements corresponding to updated first syntax elements in the updated first schema, based on a mapping relationship between the updated first syntax elements in the updated first schema and second syntax elements in a second schema system; and combining the second syntax elements according to a context relationship between the updated first syntax elements, so as to generate a second schema.

Method and apparatus of converting schema in deep learning framework, and computer storage medium

The present disclosure discloses a method, an apparatus and an electronic device for deploying an operator in a deep learning framework and relates to the field of artificial intelligence technology such as deep learning. And the solution is: acquiring a source file of the operator; compiling the source file of the operator to form a dynamic link library of the operator; generating an interface file transferred from the dynamic link library of the operator; generating an installable library file according to the dynamic link library and the interface file; installing the installable library file to a target programming language library.

Method and electronic device for deploying operator in deep learning framework

Disclosed are fusion polypeptides comprising fragments from a first and a second isoform of an interferon lambda family, nucleic acids encoding the fusion polypeptides, and vectors and host cells containing the same, and methods of making and using such compositions in treatment of interferon lambda-related diseases, disorders, and conditions.

Fusion polypeptides and methods of use

Provided are fusion polypeptides comprising fragments from a first and a second FGF family member, nucleic acids encoding the fusion polypeptides, vectors and host cells containing the same, and methods of making and using such compositions in the treatment of FGF-related diseases, disorders, and conditions.

The resent disclosure provides a method and an apparatus for translating based on artificial intelligence. With the method, the text to be translated from the source language to the target language is acquired, in which, the text includes the target language term and the source language term. The candidate terms for translating the source language term and confidences of the candidate terms are determined. The candidate terms are used to replace the corresponding source language term, and each candidate term is combined with the target language term, so as to obtain each candidate translation. A probability of forming a smooth text when the candidate term is used in the candidate translation is predicted. Then the target term is chosen to be recommended according to the language probabilities of the candidate translations and the confidences of the candidate terms.

Method and apparatus for translating based on artificial intelligence

An image printing method and printer is provided. The method comprises obtaining an original data file of an image to be printed from a database; dividing the original data file into a plurality of first data files and storing the first data files in a plurality of first memory blocks correspondingly; receiving an image printing request, the image printing request carrying first position information of the image to be printed; determining from its position information of the image to be printed second position information contained in the first position information, and filling a first data file corresponding to the second position information to a second memory block from the first memory block where the first data file is located through memory mapping mechanism to form a second data file to be printed; and printing and outputting the second data file in the second memory block.

Image printing method and printer for segmenting an image to create first data files and first memory blocks and printing each data file using print position information

A method for manufacturing E-paper array substrate and an E-paper array substrate are provided. The method for manufacturing E-paper array substrate uses two masks. Steps on a surface of the array substrate structure are eliminated, so as to facilitate a subsequent coating process of E-ink and enable a uniform distribution of a drain electric field. An E-paper array substrate is further provided.

E-paper array substrate with storage capacitor electrode and manufacturing method thereof

The present invention relates to a polarizer and a method for produce for producing the same, and an LCD device. The polarizer includes a glass substrate and a metal wire grating disposed on the glass substrate. The polarizer disposed on the LCD device can greatly lower cost of the polarizer and the LCD device. Besides, the polarizer does not absorb incident lights so as to greatly reduce energy loss of lights passing through the polarizer and improve the utilization rate of light energy. The method includes: disposing a cathode and an anode in parallel on one glass substrate; connecting the cathode and the anode to a direct current power supply; dropping solution containing metal positive ions between the cathode and the anode; disposing another glass substrate on the cathode and the anode; adjusting temperature of the solution until the solution is frozen to be ice; adjusting the temperature until a liquid layer appears between the one glass substrate and the ice; and supplying power for the cathode and the anode so as to obtain the polarizer, which can greatly simplify the producing process of the polarizer and lower the producing cost of the polarizer.

Polarizer and method for producing the same, and liquid crystal display device

The present invention relates to a circuit and a method for repairing a broken line of a flat panel display device. The circuit includes a second repairing line and a resistance access port is disposed on the second repairing line. The method includes: disposing a resistance access port on a second repairing line of the flat panel display device; and connecting a resistance meeting a display requirement to the resistance access port. The above solutions enable the circuit for repairing to adjust the load resistance so as to adjust the display effect by disposing the resistance access port; thereby improving the repairing effect and making the display quality of the repaired flat panel display device meet the requirement.

Circuit and method for repairing a broken line of a flat panel display device

The present invention relates to an array substrate of TFT-LCD and Method for manufacturing the same. The array substrate includes: gate lines, data lines, pixel electrodes and TFTs formed on a substrate; and a grid graph formed on each of the pixel electrode to make each of the pixel electrodes be simultaneously a built-in polarizer and change natural lights into linear polarized lights. The method for manufacturing an array substrate includes: forming a graph including gate electrodes and gate lines on a substrate; depositing continuously a gate insulating layer, a semiconductor layer and a doped semiconductor layer, and forming graphs of semiconductor layers and doped semiconductor layers above the gate electrodes; forming graphs of source electrodes, drain electrodes, data lines and pixel electrodes, in which a grid graph formed on each of the pixel electrode to make each of the pixel electrodes be simultaneously a built-in polarizer and change natural lights into linear polarized lights. In the present invention, there is no need to attach polarizer of absorption type to the array substrate after being disposed with the color filter substrate as a cell, thereby reducing the production cost of the TFT-LCD, and which is propitious to reduce the thickness of the TFT-LCD and increase the power utilization efficiency greatly of LCD.

Growing community of inventors

Beijing, China

Hongyu Liu