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Development of Content Security Based on Artificial Intelligence

Zhu Shiqiang, Wang Yongheng

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 67-74 doi: 10.15302/J-SSCAE-2021.03.004

Abstract: The recent development of artificial intelligence (AI) has had a very important impact on content securityIn this article, we summarize the research status and development trends of AI-based content securitycontent security.This study proposes to build the world’s leading AI-based content security system through a three-step, hybrid enhanced intelligence, and knowledge-driven content security.

Keywords： artificial intelligence (AI)，content security，system construction    

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Artificial Intelligence Security in Multiple-Unmanned System Cooperation

Shi Wen, Wang Kaiwen, Yu Chengpu, Sun Jian, Chen Jie

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 82-89 doi: 10.15302/J-SSCAE-2021.03.007

Abstract: of China’s new-generation artificial intelligence (AI) planning and it is a transformative technologyof multiple unmanned system cooperation, research on AI security is still in its infancy.Promoting multiple unmanned system cooperation enables AI application and risk control.Specifically, a national unmanned system verification platform should be established to promote the constructionAI security ecology; and the advantages of multiple unmanned system cooperation should be maximized

Keywords： multiple unmanned system cooperation，artificial intelligence (AI) security，security risk prevention and    

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Cyber security meets artificial intelligence: a survey Review Article

Jian-hua LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12,   Pages 1462-1474 doi: 10.1631/FITEE.1800573

Abstract:

There is a wide range of interdisciplinary intersections between cyber security and artificial intelligenceOn one hand, AI technologies, such as deep learning, can be introduced into cyber security to constructThus, AI models need specific cyber security defense and protection technologies to combat adversarialBased on the above two aspects, we review the intersection of AI and cyber security.system.

Keywords： Cyber security     Artificial intelligence (AI)     Attack detection     Defensive techniques    

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Artificial Intelligence Enabled Cyberspace Security Defense

Jia Yan, Fang Binxing, Li Aiping, Gu Zhaoquan

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 98-105 doi: 10.15302/J-SSCAE-2021.03.003

Abstract: With the rapid development of artificial intelligence (AI) technology and its application in variousThis study analyzes the new risks of cyberspace security in the era of AI, such as more intelligent networkThis study introduces some key problems and technologies of AI-enabled cyberspace security defense, particularlythe construction of a cyberspace security knowledge brain and the detection of network attacks.network attacks, and the evaluation of AI technologies’ security.

Keywords： artificial intelligence (AI)，cyberspace security，cyber attacks，cyber defense    

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AI-Enabled Cyberspace Attacks: Security Risks and Countermeasures

Fang Binxing, Shi Jinqiao, Wang Zhongru, Yu Weiqiang

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 60-66 doi: 10.15302/J-SSCAE-2021.03.002

Abstract:

 Artificial intelligence (AI) brings significant societal progressThus, studying the security problems induced by the deep fusion of AI and cyberspace security becomesTo effectively address the security threats of AI-enabled cyber attacks, we suggest that an intelligentnetwork attack and defense system should be established and its capabilities upgraded to construct equivalentSharing of AI security data assets should be encouraged to develop a data-centered path for AI-enabled

Keywords： artificial intelligence (AI)     cyber attack and defense     national security     autonomous collaboration    

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Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 173-183 doi: 10.15302/J-SSCAE-2022.07.010

Abstract:

Deep learning has enhanced the versatility of artificial intelligence(AI) algorithms.In the last decade, the AI industry has been spawned and developing rapidly.technologies that focus on full-stack AI, AI basic platform and tool system, and AI root technology,thus to improve the independence of China's AI core technologies.

Keywords： artificial intelligence (AI)     enterprise scenarios     intelligent solutions     application     full-stack AI     AI root technology    

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Multiple Knowledge Representation of Artificial Intelligence

Yunhe Pan

Engineering 2020, Volume 6, Issue 3,   Pages 216-217 doi: 10.1016/j.eng.2019.12.011

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Artificial intelligence algorithms for cyberspace security applications: a technological and status review Review

Jie CHEN, Dandan WU, Ruiyun XIE,chenjie1900@mail.nwpu.edu.cn,wudd@cetcsc.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1117-1142 doi: 10.1631/FITEE.2200314

Abstract: situation, and the effectiveness of security defense strategy optimization.algorithms have become the core means to increase the chance of security and improve the network attackRecently, the breakthrough and application of AI technology have provided a series of advanced approachesThis work presents a comprehensive review of AI technology articles for applications, mainly from 2017is intended to provide technical guidance for researchers who would like to obtain the potential of AI

Keywords： Artificial intelligence (AI)     Machine learning (ML)     Deep learning (DL)     Optimization algorithm     Hybridalgorithm     Cyberspace security    

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Application of AI techniques in monitoring and operation of power systems

David Wenzhong GAO, Qiang WANG, Fang ZHANG, Xiaojing YANG, Zhigang HUANG, Shiqian MA, Qiao LI, Xiaoyan GONG, Fei-Yue WANG

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 71-85 doi: 10.1007/s11708-018-0589-4

Abstract: In recent years, the artificial intelligence (AI) technology is becoming more and more popular in manyHowever, the application of AI techniques in power systems is still in its infancy.by mainly focusing on the power system operation and monitoring.For the power system operation, the problems, the demands, and the possible applications of AI techniquestechniques in solving power system problems.

Keywords： power system operation and monitoring     artificial intelligence (AI)     deep learning     power flow analysis    

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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: In the past, both the direct learning approach and the personnel extension system for improving fertilizationTherefore, this article proposes an interactive knowledge learning approach using artificial intelligenceThe system consists of two parts.The second part is an intelligent decision system, which categorizes the information provided by farmers

Keywords： artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

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Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Strategic Study of CAE 2022, Volume 24, Issue 1,   Pages 198-204 doi: 10.15302/J-SSCAE-2022.01.021

Abstract:

A scientific supervision system enhances vigorous and standardized developmentArtificial intelligencebased software as a medical device (AI-Based SaMD) is an important product inthe health field enabled by artificial intelligence (AI).As AI develops further, its unique black box algorithm and independent learning ability have posed majorIn addition, we explore the problems and challenges of AI-Based SaMD in China.

Keywords： software as a medical device (SaMD)，artificial intelligence (AI)，supervision science    

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Development Strategy for the Core Software and Hardware of Artificial Intelligence in China

Gao Lei, Fu Yongquan, Li Dongsheng, Liao Xiangke

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 90-97 doi: 10.15302/J-SSCAE-2021.03.008

Abstract:

Artificial intelligence (AI) is an important enabling technology forPromoting AI core software and hardware technologies and industry is strategically significant for theIn this study, we summarize the development status of AI core hardware and software in China and abroadcore hardware, AI core software, and AI-related basic technology.reengineered to upgrade the industrial chain; and the AI innovative talent training system should be

Keywords： artificial intelligence (AI)     core software and hardware     AI chip     basic intelligent algorithm     new enabling    

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Artificial Intelligence Ethics Supervision in China: Demand Analysis and Countermeasures

Liu Lu, Yang Xiaolei, Gao Wen

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 106-112 doi: 10.15302/J-SSCAE-2021.03.006

Abstract:

The rapid development of artificial intelligence (AI) industry is accompaniedAI supervision.and human rights, social trust crisis of AI, security of data and algorithms, as well as confirmationon the technical progress of AI.security, scientific and technological ethics supervision organizations of multiple levels should be

Keywords： artificial intelligence (AI)     governance structure     ethical supervision     ethics committee    

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Crowd intelligence in AI 2.0 era Review

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 15-43 doi: 10.1631/FITEE.1601859

Abstract: based cyber-physical world has profoundly changed the information environment for the development of artificialintelligence (AI), bringing a new wave of AI research and promoting it into the new era of AI 2.0.As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attractedSpecifically, crowd intelligence provides a novel problem-solving paradigm through gathering the intelligenceIn this paper, we survey existing studies of crowd intelligence.

Keywords： Crowd intelligence     Artificial intelligence 2.0     Crowdsourcing     Human computation    

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After Artificial Intelligence Breaks Longstanding Matrix Multiplication Records, Humans Quickly Do Better

Dana Mackenzie

Engineering 2023, Volume 28, Issue 9,   Pages 1-3 doi: 10.1016/j.eng.2023.07.002

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Title Author Date Type Operation

Development of Content Security Based on Artificial Intelligence

Zhu Shiqiang, Wang Yongheng

Journal Article

Artificial Intelligence Security in Multiple-Unmanned System Cooperation

Shi Wen, Wang Kaiwen, Yu Chengpu, Sun Jian, Chen Jie

Journal Article

Cyber security meets artificial intelligence: a survey

Jian-hua LI

Journal Article

Artificial Intelligence Enabled Cyberspace Security Defense

Jia Yan, Fang Binxing, Li Aiping, Gu Zhaoquan

Journal Article

AI-Enabled Cyberspace Attacks: Security Risks and Countermeasures

Fang Binxing, Shi Jinqiao, Wang Zhongru, Yu Weiqiang

Journal Article

Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Journal Article

Multiple Knowledge Representation of Artificial Intelligence

Yunhe Pan

Journal Article

Artificial intelligence algorithms for cyberspace security applications: a technological and status review

Jie CHEN, Dandan WU, Ruiyun XIE,chenjie1900@mail.nwpu.edu.cn,wudd@cetcsc.com

Journal Article

Application of AI techniques in monitoring and operation of power systems

David Wenzhong GAO, Qiang WANG, Fang ZHANG, Xiaojing YANG, Zhigang HUANG, Shiqian MA, Qiao LI, Xiaoyan GONG, Fei-Yue WANG

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article

Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Journal Article

Development Strategy for the Core Software and Hardware of Artificial Intelligence in China

Gao Lei, Fu Yongquan, Li Dongsheng, Liao Xiangke

Journal Article

Artificial Intelligence Ethics Supervision in China: Demand Analysis and Countermeasures

Liu Lu, Yang Xiaolei, Gao Wen

Journal Article

Crowd intelligence in AI 2.0 era

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Journal Article

After Artificial Intelligence Breaks Longstanding Matrix Multiplication Records, Humans Quickly Do Better

Dana Mackenzie

Journal Article