scholarly journals Review on the Application of Metalearning in Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Pengfei Ma ◽  
Zunqian Zhang ◽  
Jiahao Wang ◽  
Wei Zhang ◽  
Jiajia Liu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Reinforcement Learning ◽  
Research Direction ◽  
Development Trend ◽  
Research Process ◽  
Learning Ability ◽  
Novel Method ◽  
Accuracy Of Prediction ◽  
The Development Trend

In recent years, artificial intelligence supported by big data has gradually become more dependent on deep reinforcement learning. However, the application of deep reinforcement learning in artificial intelligence is limited by prior knowledge and model selection, which further affects the efficiency and accuracy of prediction, and also fails to realize the learning ability of autonomous learning and prediction. Metalearning came into being because of this. Through learning the information metaknowledge, the ability to autonomously judge and select the appropriate model can be formed, and the parameters can be adjusted independently to achieve further optimization. It is a novel method to solve big data problems in the current neural network model, and it adapts to the development trend of artificial intelligence. This article first briefly introduces the research process and basic theory of metalearning and discusses the differences between metalearning and machine learning and the research direction of metalearning in big data. Then, four typical applications of metalearning in the field of artificial intelligence are summarized: few-shot learning, robot learning, unsupervised learning, and intelligent medicine. Then, the challenges and solutions of metalearning are analyzed. Finally, a systematic summary of the full text is made, and the future development prospect of this field is assessed.

scholarly journals Integrated Development Technology of Artificial Intelligence, Big Data and Cloud Computing

2021 ◽  
pp. 197-206
Author(s):  
Yuemei Ren, Xianju Feng, Lei Li
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Work Experience ◽  
Development Trend ◽  
Development Direction ◽  
Development Technology ◽  
The Development Trend ◽  
The Relationship ◽  
The Trinity

In terms of the current development status and future development direction of artificial intelligence, big data and cloud computing, the relationship between the three is inseparable. The essence of the Trinity era is that the development of the future era will focus on the three technologies of artificial intelligence (AI), big data and cloud computing. At the same time, big data has gradually entered people's vision. After the information revolution, the connection between people's daily life and data is becoming more and more close. Many enterprises begin to use the mining and analysis of big data to mine the development trend and business model of enterprises, so as to help enterprises obtain higher operation efficiency and stronger competitive advantage. Starting from reality and combined with the author's work experience, this paper discusses the combination of artificial intelligence, big data and cloud computing.

scholarly journals Analysis of the Superiority of Flexible Construction

2021 ◽  
Author(s):  
Chengshui Yu
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Information Age ◽  
Development Trend ◽  
Theoretical Framework ◽  
Intelligent Building ◽  
Intelligent Robots ◽  
Continuous Progress ◽  
The Times ◽  
The Development Trend

With the continuous development of the times and the continuous progress of science and technology, intelligent robots, big data, artificial intelligence, and other technologies are gradually emerging in the construction industry. Building construction inevitably needs new blood to solve current problems under the tide of information age. Intelligent building has become a necessary way for building development. At present, in the field of intelligent construction, research and theory in various directions have developed to varying degrees. Through the analysis of existing theories, this paper sorts out the theoretical framework and core logic of intelligent construction, and looks forward to the development trend of intelligent construction in the future.

Recent Reviews on Machine Vision-Based 3D Reconstruction

2021 ◽  
Vol 14 ◽  
Author(s):  
Hongxin Zhang ◽  
Shaowei Ma ◽  
Meng Li ◽  
Hanghang Jiang ◽  
Jiaming Li
Keyword(s):  
Machine Vision ◽  
3D Reconstruction ◽  
Autonomous Navigation ◽  
Robot Vision ◽  
Research Direction ◽  
Development Trend ◽  
Future Research ◽  
The Future ◽  
The Development Trend ◽  
Better Than

Background: In machine vision, the 3D reconstruction is widely used in medical system, autonomous navigation, aviation and remote sensing measurement, industrial automation and other fields, and the demand for reconstruction precision is significantly highlighted. Therefore, the 3D reconstruction is of great research value and will be an important research direction in the future. Objective: By reviewing the latest development and patent of 3D reconstruction, this paper provides references to researchers in related fields. Methods: Machine vision-based 3D reconstruction patents and literatures were analyzed from the aspects of the algorithm, innovation and application. Among them, there are more than 30 patents and nearly 30 literatures in the past ten years. Results: Researches on machine vision-based 3D reconstruction in recent 10 years are reviewed, and the typical characteristics were concluded. The main problems in its development were analyzed, the development trend was foreseen, and the current and future research on the productions and patents related to machine vision-based 3D reconstruction is discussed. Conclusion: The reconstruction result of binocular vision and multi-vision is better than monocular vision in most cases. Current researches of 3D reconstruction focus on robot vision navigation, intelligent vehicle environment sensing system and virtual reality. The aspects that need to be improved in the future include: improving robustness, reducing computational complexity, and reducing operating equipment requirements, and so on. Furthermore, more patents on machine vision-based 3D reconstruction also should be invented.

scholarly journals Problems and Countermeasures in the Process of Applying Multimedia Technology in Basketball Teaching

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Bixia Yan
Keyword(s):  
Physical Education ◽  
Teaching Methods ◽  
Development Trend ◽  
Learning Ability ◽  
Multimedia Technology ◽  
Teaching Environment ◽  
Multimedia Teaching ◽  
Multimedia Environment ◽  
Short Time ◽  
The Development Trend

Nowadays, there are few researches on using multimedia animation technology to assist basketball tactics teaching and training in college physical education. The research of multimedia animation assisting basketball tactics teaching can help promote the current teaching mode, teaching environment, and teaching methods. From the perspective of the development trend of modern education and the benefits of multimedia technology in physical education teaching, this article demonstrates the inevitability of applying multimedia technology in college basketball teaching and demonstrates the feasibility of implementing multimedia physical education in colleges and universities from the three aspects of multimedia teaching environment, teacher teaching ability analyzes the factors that affect the effect of multimedia-assisted teaching. Students’ acceptance characteristics of the multimedia environment are obtained. Relevant research results and suggestions on the use of multimedia animation in basketball tactics teaching will be submitted. Research shows the ability and student’s learning ability. It analyzes the effects of multimedia-assisted teaching in basketball tactics. In this article, at 84% of teachers feel that multimedia-assisted teaching is better. However, some objective factors restrict teachers’ use of multimedia-assisted teaching methods. Among them, poor production technology and inconvenient use are the main factors that teachers think affect the application of multimedia-assisted teaching methods in actual teaching, and these influencing factors are difficult to eliminate in a short time.

Recent Patents on Bearing Pre-tightening

2021 ◽  
Vol 15 ◽  
Author(s):  
Yanling Zhao ◽  
Jiashuo Zhang
Keyword(s):  
Research Direction ◽  
Development Trend ◽  
Machining Accuracy ◽  
Processing Efficiency ◽  
Tightening Force ◽  
The Future ◽  
Processing Accuracy ◽  
And Function ◽  
The Development Trend ◽  
Accuracy Speed

Background: Bearing has been widely used in automotive, aerospace, electronics industry, and other fields.Its pre-tightening technology is one of the most critical technologies. It has an important influence on the accuracy, speed, stiffness, and temperature rise of the spindle. Proper pre-tightening force can eliminate bearing clearance and improve machining accuracy and efficiency of machine tools. Therefore, the development trend of bearing pre-tightening mechanism has been paid more and more attention. Objective: In order to improve the processing efficiency and processing accuracy of the bearing system, the structure and function of the bearing pre-tensioning device are continuously enhanced. Methods: This paper retraces various current representative patents relative to the mechanism of bearing pre-tightening. Results: Through the investigation of several patents of bearing pre-tightening devices, the principles and effects of different bearing pre-tightening devices are classified and reviewed. Besides, the future development trend of bearing pre-tightening devices is discussed. Conclusion: The optimization of the bearing pre-tightening device is conducive to improving processing efficiency and quality. A controllable pre-tightening force is the research direction, and more related patents will be invented in the future.

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