• Title/Summary/Keyword: 인공지능

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Analysis of Attitude toward Artificial Intelligence of Middle School Student (중학생의 인공지능에 대한 태도에 미치는 요인 분석)

  • Kim, Seong-Won;Lee, Youngjun
    • Proceedings of the Korean Society of Computer Information Conference
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    • pp.237-238
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    • 2020
  • 본 논문에서는 중학생의 인공지능에 대한 태도에 영향을 미치는 요인을 살펴보았다. 김성원과 이영준(2020)에서 개발한 중학생의 인공지능에 대한 태도 측정 검사 도구를 중학생에게 실시하고, 요인에 따른 태도 차이를 분석하였다. 중학생의 인공지능에 대한 태도는 성별에 따른 차이는 존재하지 않았다. 또한, 학년과 인공지능 교육 경험도 중학생의 인공지능에 대한 태도에 영향을 주지 않았다. 반면에 인공지능에 대한 직·간접적인 경험이 있는 중학생은 경험이 없는 학생보다 인공지능에 대한 태도가 긍정적이었다. 마지막으로 인공지능에 대한 관심이 높을수록 인공지능에 대한 태도가 긍정적으로 나타났다. 후속 연구에서는 중학생의 인공지능에 대한 태도를 긍정적 변화시키기 위한 교육 프로그램 개발이 필요하다.

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인공지능 워크스테이션의 개발동향 분석

  • Lee, Jin-Hyeong;Park, Seng-Kyu
    • Electronics and Telecommunications Trends
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    • v.3 no.1
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    • pp.77-85
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    • 1988
  • 인공지능 프로그램을 효과적으로 수행시키기 위해서는 특별한 하드웨어 또는 진보된 소프트웨어 기술이 구현된 시스팀이 필요하게 된다. 1980년대 초에 Symbolics의 lisp machine이 처음 출현한 이래 dedicated architecture를 갖는 lisp machine이 지배하던 인공지능 머신은 최근 general purpose workstation에 인공지능 언어 및 환경을 갖춘 인공지능 워크스테이션이 대두됨에 따라 그 개발 경향이 옮겨가고 있다. 본고에서는 이와 같은 최근의 인공지능 워크스테이션의 개발동향 분석 및 그에 따른 인공지능 워크스테이션의 정의를 하였으며, 마지막으로 우리나라에서 이러한 인공지능 워크스테이션을 개발하기 위한 연구뱡향에 대해 기술하였다.

A Study on Industrial Potential of Artificial Intelligence through the Cases of Film and Artificial Intelligence Art (예술에서 살펴본 인공지능의 미래 산업화 가능성 - 영화와 인공지능 예술을 중심으로)

  • Kim, Hee-Young
    • Cartoon and Animation Studies
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    • pp.423-452
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    • 2018
  • The possibility of future industrialization of artificial intelligence was studied through aspects of artificial intelligence art and movie. The field of artificial intelligence is developing by imitating humans through past and present, so it can be inferred that it is important to grasp the future image presented in movie and artificial intelligence art. Human values are represented differently in artificial intelligence films and arts. Artificial intelligence film and art are concerned with the external and internal aspects of human values, respectively. The AI movie looks at similar external aspects in human and AI shape and function, but artificial intelligence art deals with human alienation and lack of communication due to artificial intelligence technology development. Artificial intelligence in movies is a direction to visualize the imagination for artificial intelligence technology, and artificial intelligence art is expressed in the way of making and implementing works using technology. The future of artificial intelligence, which we have shown in imagination in movies today, is being realized technologically. Artificial intelligence art reflects the problems of artificial intelligence technology that can be appeared through current technology, and human problems that may arise from artificial intelligence technology development. Movies and artificial intelligence art reflect the current problems, and through them we can see the future of artificial intelligence. The future of artificial intelligence in movies is an artificial intelligence service that provides human convenience, cyborg artificial intelligence industry, industry that uses exoskeleton robot and exoskeleton suit, and artificial intelligence secretary. If we look at the future of artificial intelligence through the artificial intelligence art in terms of the problems of artificial intelligence technology and the problem of human value, there are artificial intelligence to learn from trial and error or mistakes, self-expression and communication by lifelogging, recovery of miscommunications by a reflective thinking, and an expansion of the area of artificial intelligence artist through human uncertainty. The future industrialization potential of artificial intelligence as study through aspects of artificial intelligence art and movie is an industry that extends the five senses, an industry that improves the insufficient physical ability of the human, an industry that enhances the physical ability of the human being, and an industry that maintains psychological and mental well-being.

Performance Analyzer for Embedded AI Processor (내장형 인공지능 프로세서를 위한 성능 분석기)

  • Hwang, Dong Hyun;Yoon, Young Hyun;Han, Chang Yeop;Lee, Seung Eun
    • Journal of Internet Computing and Services
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    • v.21 no.5
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    • pp.149-157
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    • 2020
  • Recently, as interest in artificial intelligence has increased, many studies have been conducted to implement AI processors. However, the AI processor requires functional verification as well as performance verification on whether the AI processor is suitable for the application. In this paper, We propose an AI processor performance analyzer that can verify the application performance and explore the limitations of the processor. By Using the performance analyzer, we explore the limitations of the AI processor and optimize the AI model to fit an AI processor in image recognition and speech recognition applications.

An Analysis of the Influence of Block-type Programming Language-Based Artificial Intelligence Education on the Learner's Attitude in Artificial Intelligence (블록형 프로그래밍 언어 기반 인공지능 교육이 학습자의 인공지능 기술 태도에 미치는 영향 분석)

  • Lee, Youngho
    • Journal of The Korean Association of Information Education
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    • v.23 no.2
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    • pp.189-196
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    • 2019
  • Artificial intelligence has begun to be used in various parts of our lives, and recently its sphere has been expanding. However, students tend to find it difficult to recognize artificial intelligence technology because education on artificial intelligence is not being conducted on elementary school students. This paper examined the teaching programming language and artificial intelligence teaching methods, and looked at the changes in students' attitudes toward artificial intelligence technology by conducting education on artificial intelligence. To this end, education on block-type programming language-based artificial intelligence technology was provided to students' level. And we looked at students' attitudes toward artificial intelligence technology through a single group pre-postmortem. As a result, it brought about significant improvements in interest in artificial intelligence, possible access to artificial intelligence technology and the need for education on artificial intelligence technology in schools.

Game Artificial Intelligence Technologies (게임 인공지능 기술)

  • Lee, H.J.
    • Electronics and Telecommunications Trends
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    • v.20 no.4
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    • pp.103-109
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    • 2005
  • 게임에서의 인공지능 기술은 이전에는 부수적인 요소로 인식되었으나, 컴퓨터 하드웨어 및 그래픽 기술 등이 발전하면서 가능성과 중요성이 점차 커져 왔다. 특히 최근 게임 인공지능 기술은 점점 더 발전하고 있고, 그 필요성도 중요시되고 있다. 국외에서는 일부 업체에서 게임 인공지능 기술을 상용화하여 시장 진입을 시도하고 있으며, 인공지능 기술이 적용된 게임이 인기를 끌고 있다. 그러나 국내에서는 게임 인공지능 기술의 중요성은 느끼고 있으나 기술 개발에는 초보적인 단계에 머무르고 있는 상황이다. 본 고에서는 게임 인공지능 기술의 국외 및 국내 현황을 알아보고, 게임에서 적용되고 있는 요소기술에 대하여 알아보기로 한다.

Predicting the Effect of Fusion of Artificial Intelligence Education and Maker Education Using System Dynamics (시스템 사고를 활용한 인공지능 교육과 메이커 교육 융합 효과성 예측)

  • Yang, Hwan-Geun;Lee, Tae-Wuk
    • Proceedings of the Korean Society of Computer Information Conference
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    • pp.117-120
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    • 2020
  • 본 논문은 인공지능 메이커 교육과 관련한 요소를 논문 네트워크 키워드 분석과 다양한 빅데이터를 종합하여 핵심용어를 선정 후 인공지능 메이커 교육을 시스템 다이내믹스의 Vensim프로그램으로 인과지도(Casual Loop Diagramming)를 구조분석(모델의 구조)하여 예측 결과를 토대로 향후 미래 상황 추출 및 정책 결정 연구에 영향을 기여한다. 연구 결과 인공지능 교육 정책은 추후 인공지능 교육과 메이커 교육을 융합한 교육 관련 산업이 증대할 것으로 예측되며 교육 경쟁력 향상과 창의적 인재 양성, OTT를 이용한 인공지능 교육 콘텐츠 향상으로 학습에 활용성이 증대하게 된다. 또한 인공지능 교육 정책은 프로그래밍 교육으로 연결되어 성장기 학습자들의 사고력과 정서 발달에 도움 되며 다양한 교재 및 기기 등장으로 인한 학습에 다양성 역시 증가할 것으로 예측된다. 학교 차원에서는 교수·연구 지원 활동이 증가하여 수업 전문성을 가진 교사가 늘어나 학교 교육의 질은 확대되고 학부모는 인공지능 교육 정책에 긍정적으로 된다. 시스템 다이내믹스는 구조가 형태를 결정짓는다는 세계관에 기초하여 피드백 루프와 동태적 형태 유형을 파악하며 다양한 가능성이 존재하게 된다. 이는 추후 다양한 연구를 통해 인공지능 교육 정책 인과지도의 확대로 연결될 수 있음을 암시하며 본 논문을 통해 인공지능 교육 연구 확산에 시발점이 되었으면 한다.

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A Study on Development of School Mathematics Contents for Artificial Intelligence (AI) Capability (인공지능(AI) 역량 함양을 위한 고등학교 수학 내용 구성에 관한 소고)

  • Ko, Ho Kyoung
    • Journal of the Korean School Mathematics Society
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    • v.23 no.2
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    • pp.223-237
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    • 2020
  • Artificial intelligence technology, which represents the era of the 4th Industrial Revolution, is now deeply involved in our lives, and future education places great emphasis on building students' capabilities for the principles and uses of artificial intelligence. Therefore, the purpose of this study is to develop the contents of AI related education in mathematics, which the relationship is closely connected to each other. To this end, I propose establishing two novel AI-related contents in mathematics education. One subject is related to learning the principle of machine learning based on mathematics foundation. In addition, I draw the core math contents dealt in following subject called 'Basic Mathematics for AI and Data Science.'

The Expectation of Medical Artificial Intelligence of Students Majoring in Health in Convergence Era (융복합 시대에 일부 보건계열 전공 학생들의 의료용 인공지능에 대한 기대도)

  • Moon, Ja-Young;Sim, Seon-Ju
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.97-104
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    • 2018
  • The purpose of this study was to investigate the expectation toward medical artificial intelligence(AI) of students in majoring health, and to utilize it as a basic data for widespread use of medical AI for 500 students majoring in health science at Cheonan city. The awareness of AI was 18.6%, the reliability of AI was 24.8%, and agreement to use of medical AI was 38%. Also, the higher the awareness and reliability of AI were, the higher the expectation of AI was. As a result, education on medical AI in the major field should be a cornerstone for the development of an effective healthcare environment utilizing medical AI by raising awareness, reliability and expectation of AI.

Attitudes toward Artificial Intelligence of High School Students' in Korea (한국 고등학생의 인공지능에 대한 태도)

  • Kim, Seong-Won;Lee, Youngjun
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.1-13
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    • 2020
  • With the advent of an intelligent information society, research toward artificial intelligence education was conducted. In previous studies, the subject of research is biased, and studies that analyze attitudes toward artificial intelligence are insufficient. So, in this study developed a test tool to measure the artificial intelligence of high school students and analyze their attitudes toward artificial intelligence. To develop the test tool, 229 high school students completed a preliminary test, of which the results were analyzed via exploratory factor analysis. To analyze the students' attitudes toward artificial intelligence, the resulting test tool was applied to 481 high school students, and their test results were analyzed according to factors. From the study's results, there was no difference according to gender in the students' attitudes toward artificial intelligence, but there was a significant difference per grade. In addition, there was a significant difference in attitudes according to artificial intelligence-related experiences: the high school students who had direct and indirect experience with artificial intelligence, programming, and more frequently used it had more positive attitudes toward artificial intelligence than students without this experience. However, artificial intelligence education experience negatively influenced the students' attitudes toward artificial intelligence. Overall, the higher their interest in artificial intelligence, the more positive the high school students' attitudes toward artificial intelligence.