Cloud computing empowering artificial intelligence

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With the development and innovation of technology, the improvement of the national economy, the increasing practice of computer, the cloud computing gradually entered the field of public, and the R & D and promotion of cloud computing made people see computer technology development The steps, the combination of cloud computing and artificial intelligence has also become one of the hotspots of society. How to achieve cloud computing empowering artificial intelligence, making it high quality development are one of the problems that have been resolved at the current cloud computing development. This article discusses how cloud computing can empower manual intelligence, how to combine cloud computing with artificial intelligence, and promote high quality development of computer science.

1. Cloud computing and artificial intelligence related concepts

1.1 cloud computing Characteristics

Detailed to the current cloud computing still lacks one Accurate definitions, most national standards and scholars will express cloud computing as a model paid by usage, and this mode allows users to enter configurable computing resource sharing pools to provide more efficient and convenient information services. From the definition of the above cloud, it can be seen that the cloud computing is very powerful, and for the customer of cloud computing, only more resources are obtained under less cost, and more resources are obtained. In summary, we can summarize the cloud computing with the following characteristics [1-3]:

(1) Support virtualization: Place the resource in "Cloud" end

(2) Can provide users with computing, service and application service capability

(3) to facilitate users, reduce the purchase cost of hardware and software, cheap resources

(4) " Cloud "end, easy to expand

(5) high security, high reliability

1.2 artificial intelligence concept

artificial Intelligent is a branch of computer science, through the simulation of human brain thinking and limb behavior, combined with the development of controlism, psychology, information studies, etc., has been developed in a hot learning. With the Alpha Dog Wars World Go Champion Ke Jie wins, artificial intelligence also ushered in its other spring. China has also gradually strengthened the cultivation of artificial intelligence talents, which combines human burden with many fields, bringing convenience to humans. At present, artificial intelligence technology can be applied to biometric technology such as iris, fingerprints; it can also be applied to intelligent manufacturing, such as automatic driving, smart robots, etc .; can also be applied to images, text and other smart searches [4]. Artificial intelligence can face complex problems through its unique learning capabilities, analyzing large-scale data, thereby gaining more reliable results. In the future, artificial intelligence will reach some complicated issues from now on to consciousness, emotions, and intelligent modeling [5] to achieve more extensive applications and breakthroughs in artificial intelligence.

1.3 Cloud computing and artificial intelligence contact

In recent years, many innovative technologies began to integrate into cloud computing, and artificial intelligence is particularly obvious. Artificial intelligence and machine learning requires high-speed processors with advanced base frames, state-of-the-art GPUs, and large-capacity memory and storage space, which may have a short time in a short time in the work. For example, intelligent robots need to implement "human-machine dialogue", you need to improve computing capacity and storage capacity [6-7]. And these requirements and cloud computing can just fit, and there is cloud computing to put data on "cloud", with the most basic things, data can produce and collect, summarize, all artificial intelligence The training is based on data training, with big data to achieve artificial intelligence, and the distraction and information management of data. Therefore, cloud computing is effective in combination with artificial intelligence, whether it is also a great benefit for creation or service industry.

2. Use of cloud computing and artificial intelligence combination

In the "Artificial Intelligence + Education" era, artificial intelligence technology will serve as an organic component of future teachers, through human machine collaboration The auxiliary teachers complete their daily work to achieve efficient teaching. [8] defines a new type of "two-teacher class" refers to the artificial intelligent educational robot and teachers to undertake teaching work in the classroom. New classroom model for learning services.

In the new "Twaint Classroom", in order to achieve personalized learning and precise teaching and research, data is indispensable. For smart campuses, the amount of data generated daily is extremely large, you need to use cloud computing platforms and big data analysis platforms, but in order to avoid cloud service delays, you cannot understand the real-time situation of students in time, affecting teachers for real-time personality in classrooms. The demand of chemical teaching has proposed the edge computing and cloud computing to handle each other in full learning, and realize the real-time personalized teaching of the classroom and long-term career planning. Therefore, the core of the "Twaint Classroom" environment is the edge computing platform, and the edge computing platform includes network domains, computing systems, storage devices, application services. The network domain can be a school's campus network, or a gateway can be set in various artificial intelligent education robots to achieve high-speed transmission of the network. [9] Computing system, storage, application services, etc. are integrated into artificial intelligent educational robots. After acquiring or obtains internal storage after acquiring the classroom real-time data from various sensors, smart mobile terminals (PAD, mobile phones), wearable devices, etc. Pretreatment and analysis; handling analysis, artificially intelligent educational robots visualize data and present to teachers and students, and finally hold these real-time data locally. After class, the artificial intelligent education robot can upload it in the cloud computing platform and big data platform, which optimizes data cleaning work on the cloud computing platform, and ensures effective data to a certain extent. Sex, more conducive to the accuracy of the post-large data analysis results while also protecting the data security of teachers and students [10-11].

The new "Double Division" requires large data awareness, through the integration and processing analysis of various data, promoting artificial intelligent education robots and classroom depth, thereby reducing teachers' heavy work strength, improve education Teaching Quality.

In front of the class, artificially intelligent educational robots can analyze the students and teaching content according to different knowledge points, using knowledge such as knowledge map technology and data analysis, and provide teachers as a whole. Study report. Teachers can understand the hierarchical conditions of the class and the knowledge of each type of students, and then have a qualitative and quantitative understanding of the students according to their own judgment and artificial intelligent educational robot. In the classroom, artificial intelligent educational robots can track and analyze the data generated in the student learning activities, and directly feed back to teachers locally, so that the data of the student learning process is pro process, teachers should have big data awareness, to develop information Quality, utilizing big data technology and artificial intelligence technology, more accurate for the overall class of the class and the student individual [12].

3. Prospect analysis of artificial intelligence development in the cloud computing environment

With the continuous rise of artificial intelligence and cloud computing, its application is also increasing. Through the use of various industries, it is not only possible to improve work efficiency, but also avoid artificial mistakes, thus making great contributions to the development of society, and the process of artificial intelligence is facing growth and expansion. Sexual issues, and want that these issues have been thoroughly resolved, the cloud computing technology must be used in traditional artificial intelligence technology.

3.1 Artificial Intelligent Task Diversity Diversity

Due to the process of artificial intelligence, it must rely on massive data as the basis, thereby achieving artificial intelligence tasks Treatment diversification. For example, in a management system in some areas, the scientific classification and statistics of the managed data can be implemented by using cloud computing [13-14]. For artificial intelligence in the process of development, it is necessary to rely on powerful calculation background and platform and knowledge theory as support, while the development of cloud computing technology is just satisfying the needs of artificial intelligence, which also enables it to develop a new height. The new generation of artificial intelligence theory and technology have developed rapidly, and the open artificial intelligence platform combines with large data and cloud computing technology, which constitutes infrastructure that supports a new generation of artificial intelligence applications, and understands the artificial study, strengthen learning, knowledge maps. Intelligent technology provides theoretical foundation and tools for data center energy management. At present, a large number of data centers at home and abroad is also in phases from traditional architecture to cloud computing architecture, data center cloud computing and traditional architecture mixed deployment, where IT equipment is included in both traditional single models, and cloud computing IT resource sharing mode. This mixed structure has both new low-energy equipment, dedicated performance acceleration equipment, as well as old high-energy devices, complex business and heterogeneous equipment, which makes it particular to use cloud computing to resource scheduling and energy management Necessary [15-16].

3.2 Supplement of resource integration support

cloud computing, and integrate a variety of data resources to be effective in valid form, supplemented Resource integration efficacy provides auxiliary support for artificial intelligence identification decisions. At the beginning of the design cloud computing, its essential goal is to manage resources, involving three aspects of computing resources, network resources, storage resources. Computing resources provide basic data for artificial intelligence, network resources promote autonomous learning of artificial intelligence, storage resources continue to upgrade artificial intelligence cognitive boundaries. Therefore, cloud computing is not provided with the most direct data resources, but provides auxiliary support for resource integration [17], providing an auxiliary path for artificial intelligence self iteration and evolution. After using the technical fitness of big data and artificial intelligence, it can be performed by artificial intelligence to select the direction and resource type.

4. Conclusion

Artificial intelligence is one of the important contents of intelligent social development, an important branch of computer discipline, and its ultimate development is to produce intelligence with human intelligence machine. Cloud computing technology is based on open standards and services, providing security, fast, convenient data storage and network computing services, allowing the Internet to integrate several huge computers on the "cloud" of the Internet. Data Center and Calculation Center, build IT resources into a resource pool, plus mature server virtualization, storage virtualization techniques, so that users can monitor and distribute resources in real time.

Artificial intelligence and cloud computing are an important technical content of future social development needs, and there is a close relationship between the two, how to calculate the cloud computing into artificial intelligence, doing the fusion analysis of both. Plate its real value to the maximum. Analysis of artificial intelligence fusion in the context of cloud computing, aims to provide reference for the specific development of artificial intelligence, with a better implementation of cloud computing, integration and application of big data in artificial intelligence, so advanced technology integration The technical value will be more significant.

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