• Title, Summary, Keyword: Artificial Intelligence

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An analysis of determinants for artificial intelligence industry competitiveness (인공지능 산업의 국가 경쟁력 결정요인 분석)

  • Hong, Jae-Pyo;Kim, Eun-Jung;Park, Ho-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.4
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    • pp.663-671
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    • 2017
  • This study analyzed the determinants influencing competitiveness of artificial intelligence industry of Korea. Analysis showed that the factors having the greatest influence on the national competitiveness of the artificial intelligence industry were, in decreasing order of importance, R&D, capital, and ICT competitiveness. Given the capital-intensive characteristic of the artificial intelligence technology, it is important to enhance the national R&D capacity in artificial intelligence technology and ICT, and to make substantial investments in the establishment of related infrastructure. Considering that the development and utilization of ICT infrastructure serves as the basis for artificial intelligence technology, the high standards of Korean consumers are expected to have a positive catalytic effect on the acquisition of national competitiveness for the artificial intelligence industry. For companies to respond in a timely manner to the rapid dissemination and high impact of artificial intelligence technology, they must prepare for such advancements by improving their competencies.

A Study on the Possibility of Utilizing Artificial Intelligence for National Crisis Management: Focusing on the Management of Artificial Intelligence and R&D Cases (국가위기관리를 위한 인공지능 활용 가능성에 관한 고찰: 인공지능 운용과 연구개발 사례를 중심으로)

  • Choi, Won-sang
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.81-88
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    • 2021
  • Modern society is exposed to various types of crises. In particular, since the September 11 attacks, each country has been increasingly responsible for managing non-military crises. Therefore, the purpose of this study is to consider ways to utilize artificial intelligence(AI) for national crisis management in the era of the fourth industrial revolution. To this end, we analyzed the effectiveness of artificial intelligence(AI) operated and under research and development(R&D) to support human decision-making and examined the possibility of using artificial intelligence(AI) to national crisis management. As a result of the study, artificial intelligence(AI) provides objective judgment of the data-based situation and optimal countermeasures to policymakers, enabling them to make decisions in urgent crisis situations, indicating that it is efficient to use artificial intelligence(AI) for national crisis. These findings suggest the possibility of using artificial intelligence(AI) to respond quickly and efficiently to the national crisis.

Will 80% of Medical Laboratory Technologist disappear in the future?

  • KIM, Min-Jeong;KIM, Dong-Ho;YOUN, Myoung-Kil
    • Journal of Wellbeing Management and Applied Psychology
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    • v.2 no.1
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    • pp.1-8
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    • 2019
  • "In the future, 80% of doctors will be replaced by advanced technology." It has been talked about for a long time. When I first heard this story, people said it was ridiculous. But now that AlphaGo has won the Go match against Lee Se-dol, and many global companies have come up with a variety of services and products based on artificial intelligence, the story has become no more than ridiculous. In other words, it is beginning to come true. Artificial intelligence technology is already widely used in manufacturing and service industries. This spread of artificial intelligence is sure to usher in an era of great change in our future. And it is safe to say that it is the "medical world" where the biggest changes will be made. So how on earth does artificial intelligence replace medical personnel? If replaced, where would you stand out? In order to understand this, we must first be familiar with deep learning, which is the basis of medical artificial intelligence. And as the fourth industrial revolution gradually approaches reality, various occupational groups are becoming meaningless, as in the preceding industrial revolution, and in this paper we will learn about the impact of this situation on the medical community.

An Analysis of the effect of Artificial Intelligence on Human Society (인공지능이 인간사회에 미치는 영향에 대한 연구)

  • Kim, Ju-eun
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.2
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    • pp.177-182
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    • 2019
  • As progress of technology, Artificial Intelligence is applied in various fields of industry such as finance, production, medical treatment, service, art by changing the way they look continuously. As AI is progressive area, We have to know what kind of changing is merged in human society by AI. In this paper, through the investigations of Artificial Intelligence's concept and the way Artificial Intelligence's technology is implemented in modern industry, we studied positive effect and negative effect of AI. By this study, In conclusion, by realizing how close Artificial Intelligence had come to our life, we can prepare to seek a foothold to deal with this Artificial Intelligence.

ATL 1.0: An Artificial Intelligence Technology Level Definition (ATL 1.0: 인공지능 기술 수준 정의)

  • Min, O.G.;Kim, Y.K.;Park, J.Y.;Park, J.G.;Kim, J.Y.;Lee, Y.K.
    • Electronics and Telecommunications Trends
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    • v.35 no.3
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    • pp.1-8
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    • 2020
  • Artificial-intelligence (AI) technology is used in a variety of fields, from robot cleaner motion control to call center counselors, AI speakers, and Mars exploration. Because the technology levels of all applications and services that utilize AI vary widely, it is not possible to view all applications using AI technology at the same level. Nevertheless, there have been no cases in which the level of AI technology was defined. Therefore, the Electronics and Telecommunications Research Institute (ETRI) Artificial Intelligence Research Laboratory has defined the levels of the main technical elements of AI from steps 1 to 6. In this report, the Artificial Intelligence Technology Level 1.0 (ATL 1.0) is presented. It was established by comprehensively referring to the AI technology prospects and technology roadmaps of major countries. It is hoped that it can be used as a measure for determining the levels of AI applications or services or as an indicator for establishing a technology roadmap.

A Study on Conversational Public Administration Service of the Chatbot Based on Artificial Intelligence (인공지능 기반 대화형 공공 행정 챗봇 서비스에 관한 연구)

  • Park, Dong-ah
    • Journal of Korea Multimedia Society
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    • v.20 no.8
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    • pp.1347-1356
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    • 2017
  • Artificial intelligence-based services are expanding into a new industrial revolution. There is artificial intelligence technology applied in real life due to the development of big data and deep learning related technology. And data analysis and intelligent assistant services that integrate information from various fields have also been commercialized. Chatbot with interactive artificial intelligence provide shopping, news or information. Chatbot service, which has begun to be adopted by some public institutions, is now just a first step in the steps. This study summarizes the services and technical analysis of chatbot. and the direction of public administration service chatbot was presented.

Trend Analysis of Artificial Intelligence Technology Using Patent Information

  • Park, Jae-Yong
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.4
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    • pp.9-16
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    • 2018
  • In this paper, we propose wide range of categorizes Artificial Intelligence technology as Learning, Inference, and Cognitive. Also, it analyzes 758 cases of open patents. For an analysis, target technologies were selected and categorized into specific areas to collect information about the patents. After removing noise, the patent information for each technology such as patent assignees and IPC code, was analyzed to evaluate the maturity of technology, the way ahead for research and development and the trends in core technology. This research presents directions of Artificial intelligence technology research and trend analysis of core Artificial Intelligent technology using quantitative analysis of patent information. Also Artificial intelligence technology requires technological development necessity through close cooperation in diverse fields.

A Case Study on the Establishment of an Equity Investment Optimization Model based on FinTech: For Institutional Investors (핀테크 기반 주식투자 최적화 모델 구축 사례 연구 : 기관투자자 대상)

  • Kim, Hong Gon;Kim, Sodam;Kim, Hee-Wooong
    • Knowledge Management Research
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    • v.19 no.1
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    • pp.97-118
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    • 2018
  • The finance-investment industry is currently focusing on research related to artificial intelligence and big data, moving beyond conventional theories of financial engineering. However, the case of equity optimization portfolio by using an artificial intelligence, big data, and its performance is rarely realized in practice. Thus, the purpose of this study is to propose process improvements in equity selection, information analysis, and portfolio composition, and lastly an improvement in portfolio returns, with the case of an equity optimization model based on quantitative research by an artificial intelligence. This paper is an empirical study of the portfolio based on an artificial intelligence technology of "D" asset management, which is the largest domestic active-quant-fiduciary management in accordance with the purpose of this paper. This study will apply artificial intelligence to finance, analyzing financial and demand-supply information and automating factor-selection and weight of equity through machine learning based on the artificial neural network. Also, the learning the process for the composition of portfolio optimization and its performance by applying genetic algorithms to models will be documented. This study posits a model that the asset management industry can achieve, with continuous and stable excess performance, low costs and high efficiency in the process of investment.

A Study on Major Characteristic Analysis and Quality Evaluation Attributes of Artificial Intelligence Service (인공지능서비스의 특성분석과 품질평가속성에 대한 연구)

  • Baek, Chang Hwa;Lim, Sung Uk;Choe, Jae Ho
    • Journal of the Korean Society for Quality Management
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    • v.47 no.4
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    • pp.837-846
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    • 2019
  • Purpose: The purpose of this study is to define various concepts, features, and scopes by examining various previous studies on AI services that are completely different from existing services. It also examines the limitations of existing service quality evaluation methods and studies the characteristics by combining them with various cases of new AI services. And this is to derive and propose quality evaluation attributes of AI service. Methods: The concept and characteristics of artificial intelligence were derived through research and analysis of various previous studies related to artificial intelligence. The key characteristics and quality evaluation items were derived through the KJ method and matching based on the keywords and characteristics derived from previous studies and various cases. Results: Based on the review of various previous studies on the quality of artificial intelligence services, this study presents the main characteristics and quality evaluation items of new artificial intelligence services, which are completely different from existing service quality evaluations. Conclusion: The quality measurement model of AI service is very useful when planning and developing AI-based new products or services because it can accurately evaluate the requirements of consumers using the services of the new AI era. In addition, consumers can be recommended a customized service according to the situation or taste, and can be provided with a customized service based on this.

The Influence of Artificial Intelligence on the Information Retrieval System (정보검색분리(情報檢索分理)에 미치는 인공지능(人工知能)의 영향(影響))

  • Kim, Young-Whan
    • Journal of Information Management
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    • v.19 no.2
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    • pp.37-54
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    • 1988
  • The definition of information retrieval and artificial intelligence is given and the research activity in information retrieval, as well as the major artificial intelligence techniques which can be applied to information retrieval problems, is reviewed. By outlining the several artificial intelligence application in information retrieval, the potential role of artificial intelligence in information retrieval is discussed.

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