Chinese Academy of Sciences

Thomson Licensing

Cambricon Technologies Corporation Limited

Boe Technology Group Co., Ltd.

Chengdu Boe Optoelectronics Technology Co., Ltd.

Beijing Boe Display Technology Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

Thomson Licensing S.a.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Interdigital Vc Holdings, Inc.

Interdigital Ce Patent Holdings

Boe Technology Groupco., Ltd.

Fuzhou Boe Optoelectronics Technology Co., Ltd.

Tao Luo

Shaoli Liu

Yunji Chen

Shijin Zhang

Tianshi Chen

Kangying Cai

Zhen Li

Wenfei Jiang

Jiang Tian

Cheng Qian

Tian Zhi

Jinhua Tao

Fan Zhang

Yang Yu

Wei Zhou

Philippe Robert

Qiujie Su

Anthony Laurent

Xiaowei Liu

Zhiyong Zhang

Jiamin Liao

Dong Han

Fan Chen

Xiang Lan

Tao Tang

Wen Peng Xiao

Huiying Lan

Qingde Long

Wei Zhuo

Zerong Yang

Wei Liang Meng

Shijian Luo

Xuejie Bai

Haiguang Li

Weihang Chen

Weiliang Meng

Heyuan Qiu

Chunle Zhang

The present invention provides a fractal tree structure-based data transmit device and method, a control device, and an intelligent chip. The device comprises: a central node that is as a communication data center of a network-on-chip and used for broadcasting or multicasting communication data to a plurality of leaf nodes; the plurality of leaf nodes that are as communication data nodes of the network-on-chip and for transmitting the communication data to a central leaf node; and forwarder modules for connecting the central node with the plurality of leaf nodes and forwarding the communication data; the central node, the forwarder modules and the plurality of leaf nodes are connected in the fractal tree network structure, and the central node is directly connected to M the forwarder modules and/or leaf nodes, any the forwarder module is directly connected to M the next level forwarder modules and/or leaf nodes.

Fractal tree structure-based data transmit device and method, control device, and intelligent chip

The present application discloses a method and apparatus for generating error reporting content of a deep learning framework, an electronic device and a readable storage medium, which relates to the field of deep learning technologies. An implementation solution adopted by the present application to generate error reporting content of a deep learning framework is: acquiring an error code and error information corresponding to the error code; generating an error file according to the error code and the error information corresponding thereto, and packaging the error file into the deep learning framework; running the deep learning framework, and in response to the deep learning framework receiving an error code returned by a third-party library when an error occurs in calling of a third-party library application programming interface (API), extracting, from the error file, error information corresponding to the received error code; and generating error reporting content according to the error information. The present application can automatically generate error reporting content including richer information.

Method and apparatus for generating error reporting content of deep learning framework

A muffling device includes an acquisition circuit, configured to obtain reference sound wave information of a user. The muffling device includes a modulation circuit, configured to analyze an acoustic wave characteristic of the reference sound wave information to obtain a characteristic parameter of the reference sound wave information. The muffling device includes a muffling circuit, configured to generate compensated sound wave information according to the characteristic parameter of the reference sound wave information. The muffling device includes a correction circuit, configured to compare muffed sound wave information superimposed by the compensated sound wave information and the reference sound wave information with the reference sound wave information, and feed back a comparison result to the muffling circuit. The muffling circuit can adjust the compensated sound wave information according to a fed back comparison result. The muffling device includes an output circuit, configured to output adjusted compensated sound wave information.

Device and method for muffling, communication device and wearable device

The present disclosure provides an operation apparatus and method for an acceleration chip for accelerating a deep neural network algorithm. The apparatus comprises: a vector addition processor module and a vector function value arithmetic unit and a vector multiplier-adder module wherein the three modules execute a programmable instruction, and interact with each other to calculate values of neurons and a network output result of a neural network, and a variation amount of a synaptic weight representing the interaction strength of the neurons on an input layer to the neurons on an output layer; and the three modules are all provided with an intermediate value storage region and perform read and write operations on a primary memory.

Operation apparatus and method for acceleration chip for accelerating deep neural network algorithm

Aspects for vector operations in neural network are described herein. The aspects may include a vector caching unit configured to store a first vector and a second vector, wherein the first vector includes one or more first elements and the second vector includes one or more second elements. The aspects may further include a computation module that includes one or more bitwise processors and a combiner. The bitwise processors may be configured to perform bitwise operations between each of the first elements and a corresponding one of the second elements to generate one or more operation results. The combiner may be configured to combine the one or more operation results into an output vector.

Apparatus and methods for bitwise vector operations

The disclosure relates to a method for generating an augmented representation of a real environment, called an augmented reality representation. Such a method includes obtaining, as a function of said real environment, a virtual boundary dividing the real environment into two spaces, respectively called an activity space and a mixed space. The augmented reality representation is generated by obtaining a first part of the augmented reality representation, called an activity part, corresponding to a representation of at least one part of the activity space. Thereafter, obtaining a second part of the augmented reality representation, called a mixed part, corresponding to an augmented representation of at least one part of the mixed space, in which at least one virtual content is combined with the representation of at least one part of the mixed space.

Method for generating an augmented representation of a real environment, corresponding device, computer program product, and computer-readable carrier medium

One example of a device comprises: a central node that is as a communication data center of a network-on-chip; a plurality of leaf nodes that are as communication data nodes of the network-on-chip and for transmitting the communication data to a central leaf node; forwarder modules for connecting the central node with the plurality of leaf nodes and forwarding the communication data, wherein the plurality of leaf nodes are divided into N groups, each group having the same number of leaf nodes, the central node is individually in communication connection with each group of leaf nodes by means of the forwarder module, a communication structure constituted by each group of leaf nodes has self-similarity, and the plurality of leaf nodes are in communication connection with the central node in a complete multi-way tree approach by means of the forwarder modules of multiple levels.

An array substrate, a display panel and a display device are disclosed. The array substrate includes a base substrate and a plurality of pixel unit. Each of the pixel unit includes a thin-film-transistor, and the thin-film-transistor includes a gate electrode and a drain electrode; the drain electrode includes a first drain electrode portion, a second drain electrode portion and a first connection portion; and an orthographic projection of the first drain electrode portion on the base substrate and an orthographic projection of the gate electrode on the base substrate are spaced apart, and an orthographic projection of the second drain electrode portion on the base substrate and the orthographic projection of the gate electrode on the base substrate at least partially overlap.

Array substrate, display panel and display device

An example device comprises a central node for receiving vector data returned by leaf nodes, a plurality of leaf nodes for calculating and shifting the vector data, and forwarder modules comprising a local cache structure and a data processing component, wherein the plurality of leaf nodes are divided into N groups, each group having the same number of leaf nodes; the central node is individually in communication connection with each group of leaf nodes by means of the forwarder modules; a communication structure constituted by each group of leaf nodes has self-similarity; the plurality of leaf nodes are in communication connection with the central node in a complete M-way tree approach by means of the forwarder modules of multiple levels; each of the leaf nodes comprises a setting bit.

Device for vector data returning processing unit in fractal tree, method, control device, and intelligent chip

Aspects for vector operations in neural network are described herein. The aspects may include a vector caching unit configured to store a first vector and a second vector. The first vector may include one or more first elements and the second vector may include one or more second elements. The aspects may further include a computation module configured to calculate a cross product between the first vector and the second vector in response to an instruction.

Apparatus and methods for vector operations

A communication structure comprises: a central node that is a communication data center of a network-on-chip and used for broadcasting or multicasting communication data to a plurality of leaf nodes; a plurality of leaf nodes that are communication data nodes of the network-on-chip and used for transmitting the communication data to the central node; and forwarder modules for connecting the central node with the plurality of leaf nodes and forwarding the communication data, wherein the plurality of leaf nodes are divided into N groups, each group having the same number of leaf nodes, the central node is individually in communication connection with each group of leaf nodes by means of the forwarder modules, the communication structure is a fractal-tree structure, the communication structure constituted by each group of leaf nodes has self-similarity, and the forwarder modules comprises a central forwarder module, leaf forwarder modules, and intermediate forwarder modules.

Fractal-tree communication structure and method, control apparatus and intelligent chip

A method and an apparatus for constructing a spatial tree data structure corresponding to a region. According to the present principles, a cell may include therein a point or a set of points that are determined to be duplicate points. In an embodiment the duplicate points are determined based on the size of the points included within the cell. The inclusion of duplicate points within a particular cell, rather than further subdividing the cell, provides coding efficiency. The present principles are particularly advantageous in the context of quadtree or octree type partitioning, and may be used in 3D mesh coding.

Position coding based on spatial tree with duplicate points

The present disclosure provides a quick operation device for a nonlinear function, and a method therefor. The device comprises: a domain conversion part for converting an input independent variable into a corresponding value in a table lookup range; a table lookup part for looking up a slope and an intercept of the corresponding piecewise linear fitting based on the input independent variable or an independent variable processed by the domain conversion part; and a linear fitting part for obtaining, a final result in a way of linear fitting based on the slope and the intercept obtained, by means of table lookup, by the table lookup part. The present disclosure solves the problems of slow operation speed, large area of the operation device, and high power consumption caused by the traditional method.

Quick operation device for nonlinear function, and method therefor

The present disclosure discloses an adder device, a data accumulation method and a data processing device. The adder device comprises: a first adder module provided with an adder tree unit, composed of a multi-stage adder array, and a first control unit, wherein the adder tree unit accumulates data by means of step-by-step accumulation based on a control signal of the first control unit; a second adder module comprising a two-input addition/subtraction operation unit and a second control unit, and used for performing an addition or subtraction operation on input data; a shift operation module for performing a left shift operation on output data of the first adder module; an AND operation module for performing an AND operation on output data of the shift operation module and output data of the second adder module; and a controller module.

Adder device, data accumulation method and data processing device

The present disclosure provides a data accumulation device and method, and a digital signal processing device. The device comprises: an accumulation tree module for accumulating input data in the form of a binary tree structure and outputting accumulated result data; a register module including a plurality of groups of registers and used for registering intermediate data generated by the accumulation tree module during an accumulation process and the accumulated result data; and a control circuit for generating a data gating signal to control the accumulation tree module to filter the input data not required to be accumulated, and generating a flag signal to perform the following control: selecting a result obtained after adding one or more of intermediate data stored in the register to the accumulated result as output data, or directly selecting the accumulated result as output data. Thus, a plurality of groups of input data can be rapidly accumulated to a group of sums in a clock cycle. At the same time, the accumulation device can flexibly select to simultaneously accumulate some data of the plurality of input data by means of a control signal.

Data accumulation apparatus and method, and digital signal processing device

Growing community of inventors

Beijing, China

Tao Luo