scholarly journals Short Text Paraphrase Identification Model Based on RDN-MESIM

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jing Li ◽  
Dezheng Zhang ◽  
Aziguli Wulamu
Keyword(s):  
Artificial Intelligence ◽  
Rapid Development ◽  
Present Stage ◽  
Short Text ◽  
Application Mode ◽  
Service Areas ◽  
Artificial Intelligence Technology ◽  
Data Inquiry ◽  
Novel Model

In the rapid development of various technologies at the present stage, representative artificial intelligence technology has developed more prominently. Therefore, it has been widely applied in various social service areas. The application of artificial intelligence technology in tax consultation can optimize the application scenarios and update the application mode, thus further improving the efficiency and quality of tax data inquiry. In this paper, we propose a novel model, named RDN-MESIM, for paraphrase identification tasks in the tax consulting area. The main contribution of this work is designing the RNN-Dense network and modifying the original ESIM to adapt to the RDN structure. The results demonstrate that RDN-MESIM obtained a better performance as compared to other existing relevant models and archived the highest accuracy, of up to 97.63%.

scholarly journals Research Progress and Application of Computer Artificial Intelligence Technology

2018 ◽  
Vol 176 ◽  
pp. 01043 ◽  
Author(s):  
Jin Wei
Keyword(s):  
Artificial Intelligence ◽  
Rapid Development ◽  
Science And Technology ◽  
Development Trend ◽  
Concept Development ◽  
Research Progress ◽  
Huge Amount ◽  
Development History ◽  
Artificial Intelligence Technology ◽  
Major Application

With the development of science and technology, artificial intelligence technology has received more and more attention and attention. Under the background of the rapid development of big data and cloud computing, the artificial intelligence industry broke out. There is a huge amount of research on artificial intelligence and the artificial intelligence industry is huge. As far as the artificial intelligence industry in China is concerned, even the start is relatively late, but the industry scale, industrial layout, and technology research are all in a continuous improvement stage. Especially after the deepening of the layout of science and technology and manufacturing industries, the scale of artificial intelligence industry is further developed. More artificial intelligence products will appear at the same time. From the perspective of the concept, development history and new progress of artificial intelligence, this paper combines China’s artificial intelligence market and the development of artificial intelligence companies to analyze the current major application areas, and then further explore the future development trend of artificial intelligence.

scholarly journals A Study on the Design of Children Intelligent Guardianship Product Based on Artificial Intelligence Technology

2020 ◽  
Vol 179 ◽  
pp. 02050
Author(s):  
Yan-Xia Qu ◽  
Ming-Feng Wang
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Child Care ◽  
Design Process ◽  
Rapid Development ◽  
Parental Supervision ◽  
Parental Experience ◽  
Artificial Intelligence Technology ◽  
Intelligent Child ◽  
The Way

The rapid development of AI has affected the design process. The ability to analyze big data and AI’s efficiency, rapidity will bring great changes to the monitoring products especially for children. At present, the vast majority of intelligent child care products are based on the parental experience, designed in the aspect of parental supervision, and the children who use the product are often neglected. So change the way of designing, from the perspective of children using Intelligence technology, the ultimate child care products can play the most important role.

scholarly journals Artificial Intelligence in Repairing Meniscus Injury in Football Sports with Perovskite Nanobiomaterials

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wei Wang
Keyword(s):  
Artificial Intelligence ◽  
Healing Rate ◽  
Age Of Onset ◽  
Rapid Development ◽  
Biological Characteristics ◽  
Special Equipment ◽  
Meniscus Injury ◽  
Artificial Intelligence Technology ◽  
Meniscus Injuries ◽  
Support Phase

Knee meniscus injuries are more likely to occur in young adults in clinical practice, and their lower age of onset and greater impact on joint function after injury also put forward higher requirements for the treatment and rehabilitation of meniscus injuries. With the rapid development of artificial intelligence technology and arthroscopic minimally invasive technology, arthroscopic meniscus plasty and perovskite nanobiomaterial repair have gradually replaced the previous open meniscus surgery of the knee joint and has become the main method of meniscus injury treatment, and the perovskite nanobiomaterial repair technique that incorporates artificial intelligence technology is also gradually being applied. Therefore, this article studies the role of perovskite nanobiomaterials in the repair of meniscus injuries in football sports and analyzes the biological characteristics of the inner and outer meniscus to provide help to improve the healing rate of meniscus injuries. The study selected six male meniscus-injured patients (meniscus injuries caused by football sports) and obtained six injured menisci. The same cross section of the same part of the meniscus was analyzed inside and outside the meniscus. At the same time, a meniscal injury step was performed on the patient. The biological characteristics of perovskite nano-biomaterials in the repair of meniscus injuries in football sports were compared and analyzed, and the patient's gait before and after surgery was also compared. Experiments have shown that the percentage of the postoperative support phase of the affected limb is significantly higher than that before surgery ( P < 0.05 ), the percentage of the postoperative support phase and flatfoot phase decreased compared with that before surgery, and the gait cycle parameters of both lower extremities improved after surgery, obviously ( P < 0.05 ). It explains that the arthroscopic repair of perovskite nanobiomaterials combined with the artificial intelligence technology to repair the meniscus anterior angle injury is simple and does not require special equipment, has fewer complications, is safe and reliable, and has a high clinical healing rate and a high patient satisfaction rate after surgery. The curative effect is significant; artificial intelligence technology and the application of perovskite nanobiomaterials provide more possibilities for meniscus repair.

scholarly journals Electrical Detection and Control System Based on Artificial Intelligence

CONVERTER ◽  
2021 ◽  
pp. 16-22
Author(s):  
Ren Li, Hang Zhou
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Rapid Development ◽  
Advanced Technology ◽  
Ac Drive ◽  
Artificial Intelligence Technology ◽  
Implementation Scheme ◽  
Dc Drive ◽  
Automation Control ◽  
And Control

With the rapid development of society, many industries have integrated intelligent advanced technology, and electrical automation control is one of them. Electrical automation control system is a control system for the efficiency, status, quality and other aspects of electrical operation. Through the system, electrical operation can be well controlled. After the use of intelligence, the system has the ability of sub identification and decision-making. This paper first briefly analyzes the application theory of artificial intelligence, and then expounds the advantages of artificial intelligence controller. This paper studies the application of artificial intelligence technology in electrical automation control system from two aspects of the application of artificial intelligence in DC drive and AC drive, and analyzes the advantages of artificial intelligence control. Taking the application of AI Artificial Intelligence regulator in the control of an electrical appliance as an example, this paper expounds the circuit principle, implementation scheme and application effect of the system.

The effectiveness of physical education teaching in college based on Artificial intelligence methods

2020 ◽  
pp. 1-11
Author(s):  
Zihao Li ◽  
Hejin Wang
Keyword(s):  
Artificial Intelligence ◽  
Physical Education ◽  
Rapid Development ◽  
Participation Rate ◽  
Colleges And Universities ◽  
The Body ◽  
Current Status ◽  
Innovative Teaching ◽  
Artificial Intelligence Technology ◽  
Low Activity

Traditional physical education in colleges and universities is difficult to arouse students’ interest in sports, resulting in low activity participation rate and inability to exercise the body. How to effectively improve the effectiveness of physical education in colleges and universities has become one of the hot topics of most concern from all walks of life. In physical education, innovative teaching concepts and methods, teaching methods and processes, and teaching evaluation methods are all conducive to improving the classroom atmosphere of physical education and successfully improve the effectiveness of physical education. This article focuses on analyzing the current status of physical education in colleges and universities. Based on the rapid development of artificial intelligence technology, how to improve the effectiveness of physical education is studied, and an experimental method is used to compare and analyze physical education in a college. The analysis results show that artificial intelligence-based physical education can obviously improve students’ strength quality, speed quality, endurance quality, and agility quality, which provides a more important reference and reference for improving the effectiveness of college physical education.

Logistics engineering optimization based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-12
Author(s):  
Suhua Bu
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Optimal Solution ◽  
Engineering Optimization ◽  
Artificial Intelligence Technology ◽  
Important Means ◽  
Practical Effect ◽  
Combined Classifier ◽  
The Internet Of Things

In the era of the Internet of Things, smart logistics has become an important means to improve people’s life rhythm and quality of life. At present, some problems in logistics engineering have caused logistics efficiency to fail to meet people’s expected goals. Based on this, this paper proposes a logistics engineering optimization system based on machine learning and artificial intelligence technology. Moreover, based on the classifier chain and the combined classifier chain, this paper proposes an improved multi-label chain learning method for high-dimensional data. In addition, this study combines the actual needs of logistics transportation and the constraints of the logistics transportation process to use multi-objective optimization to optimize logistics engineering and output the optimal solution through an artificial intelligence model. In order to verify the effectiveness of the model, the performance of the method proposed in this paper is verified by designing a control experiment. The research results show that the logistics engineering optimization based on machine learning and artificial intelligence technology proposed in this paper has a certain practical effect.

scholarly journals Use of Artificial Intelligence to Improve the Quality Control of Gastrointestinal Endoscopy

2021 ◽  
Vol 8 ◽  
Author(s):  
Ya-qi Song ◽  
Xin-li Mao ◽  
Xian-bin Zhou ◽  
Sai-qin He ◽  
Ya-hong Chen ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Quality Control ◽  
Detection Rate ◽  
Rapid Development ◽  
Blind Spot ◽  
Endoscopic Examination ◽  
Examination Time ◽  
Intestinal Preparation

With the rapid development of science and technology, artificial intelligence (AI) systems are becoming ubiquitous, and their utility in gastroenteroscopy is beginning to be recognized. Digestive endoscopy is a conventional and reliable method of examining and diagnosing digestive tract diseases. However, with the increase in the number and types of endoscopy, problems such as a lack of skilled endoscopists and difference in the professional skill of doctors with different degrees of experience have become increasingly apparent. Most studies thus far have focused on using computers to detect and diagnose lesions, but improving the quality of endoscopic examination process itself is the basis for improving the detection rate and correctly diagnosing diseases. In the present study, we mainly reviewed the role of AI in monitoring systems, mainly through the endoscopic examination time, reducing the blind spot rate, improving the success rate for detecting high-risk lesions, evaluating intestinal preparation, increasing the detection rate of polyps, automatically collecting maps and writing reports. AI can even perform quality control evaluations for endoscopists, improve the detection rate of endoscopic lesions and reduce the burden on endoscopists.

scholarly journals Topical issues of legal regulation of artificial intelligence in the implementation of state and municipal service in the Russian Federation

2021 ◽  
Vol 27 (2) ◽  
pp. 160-163
Author(s):  
Ivan N. Melnikov ◽  
Ivan A. Samakov
Keyword(s):  
Artificial Intelligence ◽  
Russian Federation ◽  
Legal Regulation ◽  
Public Authorities ◽  
Municipal Service ◽  
The Public ◽  
Intelligence System ◽  
Artificial Intelligence Technology ◽  
The Russian Federation

This paper discusses the current issues of legal regulation in the field of artificial intelligence in the state and municipal service in the Russian Federation in order to ensure and protect the rights and freedoms of man and citizen. The article highlights the current problems that arise in the implementation of certain state functions, such as – the work of state bodies with citizens' appeals and the lack of regulatory regulation of the use of artificial intelligence technology in this process, the use of which will contribute to meeting the deadlines for working with citizens' appeals, as well as increase the overall level of quality of interaction between citizens and public authorities. Specific measures are proposed for the development of legislation in order to introduce artificial intelligence in solving the problems facing the public authorities. The article formulates the main conclusion regarding the trend of using the artificial intelligence system in the issue under consideration.

scholarly journals The Development and Design of Artificial Intelligence in Cultural and Creative Products

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xue Li ◽  
Baifeng Lin
Keyword(s):  
Artificial Intelligence ◽  
Research And Development ◽  
Product Design ◽  
Design Patterns ◽  
Rapid Development ◽  
Economic Benefits ◽  
Local Economy ◽  
Regional Culture ◽  
Present Stage ◽  
Main Research

The rapid development of the global cultural and creative industry has provided a new stage for the development and innovation of Chinese traditional culture. Cultural creativity has broken the rigid design and production mode of traditional products from the perspective of market and has become the key to improve the economic benefits and competitiveness of traditional products. From the perspective of cultural and creative product design and product development, artificial intelligence technology has been fully utilized at the present stage. The purpose of this article is to compare the traditional design patterns used in product design and understand the new design patterns assisted by artificial intelligence so as to achieve the purpose of process simplification and design innovation more quickly. In this article, traditional graphic patterns and local cultural connotations of the experimental area are taken as the main research points. Through a large number of field investigations and first-hand photo materials, the regional cultural characteristics and local traditional graphic language are analyzed in detail and then summarized. Finally, the examples of development research are summarized and reflected. It is hoped that through the further excavation of the traditional patterns of the region and the exploration of the level of regional culture regeneration, the development of local economy, culture, and tourism can be driven, and a cultural brand that can go out of Anhui province and into the whole country can be built. At the present stage of product research and development, the key is to introduce artificial intelligence means as necessary support and try to infiltrate artificial intelligence measures in the research and development of new products in each link.

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