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Multi-core brain-like chip

A multi-core, chip technology, applied in the field of information processing chips for brain-inspired computing, can solve problems such as difficult fault analysis, inability to make rational judgments and logical deduction, and inability to understand goals

Active Publication Date: 2019-05-14
SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the current artificial neural network relies on data learning to make predictions, relies too much on the input and output of data, bypasses the understanding and modeling of the target, cannot understand the target, cannot make reasonable judgments and logical deduction, and is difficult Perform failure analysis

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Embodiment Construction

[0035] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0036] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides a multi-core brain-like chip. Through a structure and logic formed by a node signal processing module array, a functional module array, a first bidirectional interface, and a second bidirectional interface, a technical problems that the current artificial neural network relies on data learning for prediction, depends too much on input and output of data, bypasses understanding and modeling of a target, cannot achieve the understanding of the target, cannot make reasonable judgment and logic deduction, and is difficult to perform fault analysis are solved.

Description

technical field [0001] The invention relates to the field of semiconductor storage integrated circuits, in particular to an information processing chip for brain-inspired computing. Background technique [0002] With the continuous development of CPU and storage technologies, computers already have powerful computing capabilities and massive storage capabilities. However, computers cannot possess intelligence, and cannot understand when faced with massive amounts of data and powerful calculations. In order to solve this problem, the calculation method of artificial neural network is produced by analogy to the working method of human brain. [0003] After years of development, the artificial neural network system has been basically perfected. At present, the artificial neural network is constantly developing in the direction of high efficiency and low power consumption, and has achieved excellent applications in many fields. Through a large amount of data training, the art...

Claims

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Application Information

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IPC IPC(8): G06N3/063G06N3/08
Inventor 段有康陈小刚李顺芬陈后鹏宋志棠韩文炳
Owner SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI