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 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 Research on Integrated Development Technology of Artificial Intelligence, Big Data and Cloud Computing

2021 ◽  
pp. 349-356
Author(s):  
Yu Qing
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Development Strategy ◽  
Reference Value ◽  
The United States ◽  
Two Dimensions ◽  
Integrated Development ◽  
Development Technology ◽  
Artificial Intelligence Technology

Big data is profoundly changing our society and our way of production, life and thinking. At the same time, the development of big data continues to promote the innovation and breakthrough of artificial intelligence. Artificial intelligence is the focus of current research. All countries also raise artificial intelligence to the national strategic level and seize the commanding height of artificial intelligence. This paper analyzes the strategic characteristics of the development of artificial intelligence in the United States, Britain and Japan from the two dimensions of technology deployment and system guarantee. This paper studies the artificial intelligence technology based on big data and the development strategy of artificial intelligence, so as to provide a strategic idea for the development of artificial intelligence in China. The idea has a certain reference value for the research on the integrated development technology of artificial intelligence, big data and cloud computing.

How to Design the Cloud Computing Used in the Electronic Services

2014 ◽  
Vol 556-562 ◽  
pp. 6211-6214
Author(s):  
Hui Hui Zhong ◽  
Bang Fan Liu ◽  
Miao Dai
Keyword(s):  
Cloud Computing ◽  
Process Integration ◽  
Current Model ◽  
Development Trend ◽  
Cloud Platform ◽  
Integration Model ◽  
Computing Model ◽  
Sharing Patterns ◽  
The Development Trend ◽  
The Relationship

Combing through the concept of cloud computing and e-services, analyzes the relationship between e-services, e-government and e-commerce of the three concepts. The current model of development of electronic services, mainly in the following categories: process integration model, information sharing patterns, front and back of a mixed mode operation. The development trend of the cloud computing model of electronic services is bound to relying on the cloud platform to build electronic services.

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.

Finite Element Analysis of Temperature and Stress Distributions on Touching Area of Freight Train Wheel

2011 ◽  
Vol 120 ◽  
pp. 56-60
Author(s):  
Han Wu Liu ◽  
Zhi Qiang Li ◽  
Yun Hui Du ◽  
Peng Zhang
Keyword(s):  
Finite Element ◽  
Development Trend ◽  
Stress Distributions ◽  
Railway Transportation ◽  
Element Analysis ◽  
Work Condition ◽  
Freight Train ◽  
The Development Trend ◽  
The Relationship ◽  
Wheel Track

With the development trend of constant speeding and heavy loading of the railway transportation, the freight train wheels which take the way of touching area breaking are in the bad conditions of strong friction, fever load and big wheel track forces. After many times’ repeated breaking, the wheels will come to be thermal fatigue, then, result in expired puncture. In this article, according to the actual work condition of the freight train wheel, its temperature and stress fields in the process of an urgently breaking when the wheel speed is 120 km/h with the 21 tons shaft weight were analyzed and simulated by Finite Element Method. The relationship between the injury occurring on the touching area of freight wheel and the fields of the temperature and stress was also studied. The research results showed that the maximum values of the temperature and thermal stress lied in the breaking process all locate in the touching friction area between the breaking and the wheel, and the temperature rises continuously with the breaking process going on. When the value of the temperature gets to the crest value, it slowly descends. The wheel temperature reduces from the touching area to the wheel shaft, and the nearer of the distance to wheel shaft, the lower of the temperature and stress values. After the end of the breaking process, the temperature into the wheel is higher than that on the touching area, and the maximum stress exists under the wheel touching area.

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