With the rapid development of Information Technology (IT) in China, the IT sector is well recognized as a wealth of opportunities for businesses and societies in the country. At the same time, China education system is also aware of the auxiliary value of IT. In this article, we have studied how artificial intelligence is used in education. This paper presents the possibility of the development of artificial intelligence technology has been reflected in many methodologies in education.Based on the study, we focus on the the importance of artificial intelligence usages in education. The study also looked at what types of artificial intelligence technologies are widely used in education sector. Within this area, the research presents the importance of artificial intelligence, technologies, and how teachers and students use them in their teaching and learning process. The paper result shows students can get out of the passive learning state by using artificial intelligence technology, and gradually transform from solving exercises to solving problems. In general, we design an information-based teaching model to display knowledge more intuitively in front of students, which not only enriches the overall teaching but also reduces the difficulty of students' learning. This article analyzes many aspects about the application of artificial intelligence in college teaching and learning. In this way, we aim to show that artificial intelligence is an essential tool in education. We show the research results about the use of artificial intelligence in the way we teach and learn, which we currently use, provides a great opportunity for further independent learning.

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When contemporary landscape designers have innovated the traditional landscape concept, multimedia technology is used as a principle tool to advance landscape architecture, which also represents one of the development trends of landscape architecture. In general, the modern landscape development, it's the precise measurement of the 3D landscape index can make up for the defects of the 2D landscape index. The main purpose of this article is to study multimedia technology as a professional research tool and aesthetics into contemporary natural landscape. Studying the relationship between the contemporary natural landscape and multimedia technology from the perspective of "multimedia teaching" brings the new changes, contents, and forms of the field. In this paper, we analyze the designs and applications of multimedia technology in landscape, which are mainly reflected as having negative effects on the application of multimedia technology, exampled by light pollution, noise pollution, "container man effect'' and the infringement of privacy due to the interactive nature of multimedia. The paper presents how multimedia can be used as a media to shape a more humanized landscape space environment with the characteristics of the information age. The paper gives the corresponding solution strategy, scheme and expounds on the practical prospect of multimedia technology in the future of landscape design.

AI has many applications in network security. Network security is one of the most challenging situations. The paper carries out AI based network security analysis and prevention ways of the deep learning models in the network security. We focus on some specific AI applications including voice supervision of public network, malicious code monitoring, smartphone intrusion monitoring, HTTP security monitoring, mobile phone malicious APK code monitoring are bringing the solutions for network security. We studied there are powerful methods such as mobile phone malicious APR code monitoring employed Artificial Neural Network (ANN) model which detects and mitigates predictable and unpredictable DDoS attacks (TCP, UDP, and ICMP protocols). HTTP is running over TCP, then the web server can face many TCP-related attacks, therefore, we have an experiment of HTTP security monitoring, mobile phone malicious APK code monitoring. This paper presents a potential security threats from malicious uses of AI, and proposes ways to better prevent, and mitigate these threats. When planning HTTP service protection, we present it is important to keep in mind that the attack surface is much broader than just the HTTP protocol. We suggest promising areas for further research that could expand the AI based solutions for development of cloud computing-related technologies, and the combination of cloud computing and deep learning technology in the security area.