Information processing apparatus, system and method

An information processing device and acquisition device technology, applied in the field of information processing, can solve problems such as time-consuming, labor-intensive, and low accuracy

Active Publication Date: 2019-01-15
SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of this disclosure is to provide an information processing device, system and method to solve the problems of high subjectivity, low accuracy, and time-consuming and labor-intensive scoring

Method used

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  • Information processing apparatus, system and method
  • Information processing apparatus, system and method
  • Information processing apparatus, system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0122] The information processing device of this embodiment is used to score a group of test papers containing one or more key features acquired by the character recognition device in the information acquisition device. The key features in the test paper are keywords. Operation, the output neuron of the final output layer of the artificial neural network chip outputs the judgment result, the judgment result is the confidence degree of the key feature of the test paper, that is, the confidence degree of the keyword appearance, the confidence degree is a natural number within a certain range, and the confidence degree is within a certain range. Between [0,1], it represents the probability of key features appearing; that is, the higher the confidence, the greater the probability of the keyword appearing. Confidence is binarized {0,1}, 0 means no key features appear, 1 means key features appear, or 1 means no key features appear, 0 means key features appear; the representation of c...

Embodiment 2

[0136] The information processing apparatus of this embodiment is used for scoring a video, where a video is a group of pictures including one or more key features. The storage module in the artificial neural network chip pre-stores one or more key pictures; the storage module acquires video from the outside and transmits it to the computing module, and the output of the final output layer of the artificial neural network chip is obtained through the calculation of the artificial neural network chip. The neuron outputs the judgment result, which is the similarity between each input picture and each key picture. In detail, if there are N input pictures and M key pictures, then NM similarities are obtained. The similarity in this embodiment is the confidence degree, which is a natural number within a certain range, and the confidence degree is between [0,1], indicating the probability of key features appearing; the confidence degree is binarized {0,1}, and 0 represents No key fe...

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Abstract

The invention discloses an information processing device, system and method. The device mainly comprises a storage module and a data processing module. The memory module is used for receiving and storing input data, instructions and output data, wherein the input data includes one or more key features; the data processing module is used for judging the key features contained in the input data andmarking the input data in the storage module according to the judging result. The information processing apparatus, system and method provided by the present disclosure replace manual work by automatically scoring words, pictures, audio, video, etc., and are more accurate and faster than manual work scoring.

Description

technical field [0001] The present disclosure relates to the technical field of information processing, and in particular to an information processing device, system and method. Background technique [0002] Artificial neural networks have achieved extensive success in image processing, pattern recognition, predictive estimation, economics and other fields, and can adapt to the corresponding working conditions through self-learning and self-adaptive adjustments, promoting the development of artificial intelligence in daily life. The prior art is manually grading homework or test papers, and manually grading martial arts, inter-class exercises, etc. Manually grading assignments or test papers, different teachers give different grades to the same assignment or test paper, which is highly subjective, has low accuracy, and has no uniform standard. For review and review, in artificial intelligence, the use of artificial neural network can save the teacher's precious time, and gi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06K9/00G06N3/08G10L15/26
CPCG06N3/08G06Q10/0639G10L15/26G06V30/40G06V20/40G06V30/10G06F13/28G06N3/063Y02D10/00G06F9/30145G06F12/0875G06F2212/452G06N3/04
Inventor 陈天石胡帅郝一帆
Owner SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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