• 제목/요약/키워드: Artificial intelligence in Design

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설명가능한 인공지능기반의 인공지능 교육 프로그램 개발 (A Study to Design the Instructional Program based on Explainable Artificial intelligence)

  • 박다빈;신승기
    • 한국정보교육학회:학술대회논문집
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    • 한국정보교육학회 2021년도 학술논문집
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    • pp.149-157
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    • 2021
  • 2022년 개정 교육과정에 인공지능 교육 도입을 앞두고 인공지능을 학습 소재로 한 다양한 수업들이 개발되어야 하는 시점이다. 본 연구에서는 설계기반연구를 활용하여 설명가능한 인공지능을 기반한 인공지능 교육 프로그램을 개발하였다. 인공지능의 기초, 활용, 윤리 세 분야를 골고루 포괄하며 실생활 사례와도 쉽게 연결시킬 수 있는 설명가능한 인공지능을 핵심 주제로 설정하였다. 일반적인 설계기반연구(Design-based research, DBR)에서는 3차 이상의 반복적인 과정이 이루어지지만 본 연구 결과는 1차 설계, 적용 및 평가에 대한 결과를 바탕으로 연구가 진행되었다. 추후 학교 현장에 적용하여 3차 수정 및 보완을 바탕으로 더욱 완성된 설명가능한 인공지능을 주제로 한 프로그램을 개발하고자 한다. 본 연구가 학교 현장에 도입되는 인공지능 교육의 발전에 도움이 되기를 기대한다.

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Application Analysis of Artificial Intelligence Technology in Museum Concept Design

  • Chen Xi;Jeanhun Chung
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.321-327
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    • 2023
  • The current rapid development of artificial intelligence technology has involved all aspects of the production field. The development of various algorithms and programs has pushed artificial intelligence to a new peak. Due to its complexity and diversity in the field of architectural design, the positive impact of artificial intelligence technology on architectural design is discussed from the perspective of conceptual design. For museums, which are one of the increasingly popular public facilities, the introduction of artificial intelligence technology has provided certain help in assisting the conceptual design of the museum. This article analyzes the theoretical and practical support of artificial intelligence technology in improving conceptual design, analyzing the architectural appearance, structural layout, materials, etc., to increase the feasibility and practicality of assisting conceptual design. It has certain reference significance for building a modern, advanced, international and interactive modern museum.

전공계열별 인공지능 교양교육을 위한 교육과정 제언 : D대학 교양필수 교과목 사례를 중심으로 (A Research on Curriculum Design for Artificial Intelligence Liberal Arts Education by Major Category : Focusing on the Case of D University)

  • 박소현;서응교
    • 한국정보시스템학회지:정보시스템연구
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    • 제30권3호
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    • pp.177-199
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    • 2021
  • Purpose This study explores the development direction of the artificial intelligence curriculum as a universal education that enhances the ability of college students to flexibly use artificial intelligence these days, where artificial intelligence education is spreading, and the educational components based on this are subdivided according to the characteristics of each major. Design/methodology/approach In order to develop the educational purpose of the subject and the detailed educational curriculum suitable for the subject of education, we first analyzed domestic and foreign prior research related to artificial intelligence liberal arts education. As the main components derived by experts, the basic concept of artificial intelligence converges to literacy to read and write for everyday problem solving, as well as problem-solving ability to manipulate real data and software. Findings The results showed that In the artificial intelligence literacy module, trends and prospects of artificial intelligence and necessary competencies were checked, and cases applied to major fields were examined. In the AI utilization and application part, basic data analysis items and content composition were composed through creative thinking, logical thinking, and intelligence. In order to design the curriculum, a software development language suitable for each major area was first selected, and AI education content areas, elements, and packages were defined and designed for each major area to meet the objectives of the subject.

인공지능 응용을 위한 하이브리드 메모리 설계 탐색 기법 (An Design Exploration Technique of a Hybrid Memory for Artificial Intelligence Applications)

  • 조두산
    • 한국산업융합학회 논문집
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    • 제24권5호
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    • pp.531-536
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    • 2021
  • As artificial intelligence technology advances, it is being applied to various application fields. Artificial intelligence is performing well in the field of image recognition and classification. Chip design specialized in this field is also actively being studied. Artificial intelligence-specific chips are designed to provide optimal performance for the applications. At the design task, memory component optimization is becoming an important issue. In this study, the optimal algorithm for the memory size exploration is presented, and the optimal memory size is becoming as a important factor in providing a proper design that meets the requirements of performance, cost, and power consumption.

기능분석법을 이용한 인공지능 기반 전술제대 지휘결심지원체계의 개념설계 (Conceptual Design of the Artificial Intelligence based Tactical Command Decision Support System using the Functional Analysis Method)

  • 최근하
    • 한국군사과학기술학회지
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    • 제23권6호
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    • pp.650-658
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    • 2020
  • The research of the AI-based command decision support system was insufficient both quantitatively and qualitatively. In particular, in Korea, there was no research on concrete concept design at the current concept research level. This paper proposed the conceptual design of a tactical echelon command decision support system based on artificial intelligence(AI) according to the current army's doctrine of the operation process. The suggested conceptual design clarified the problem and proposed an appropriate process for design, and applied the function analysis method among rational techniques that enable conceptual design systematically.

Artificial Intelligence as a Vehicle for Innovation: Literature Review and Bibliometric Study

  • Reema Khurana
    • Asia pacific journal of information systems
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    • 제32권4호
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    • pp.916-944
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    • 2022
  • Artificial Intelligence has been a conceptual area for several decades. It has been studied extensively through experiments by the Information Systems community. When Information Systems supported with Information Technology became all pervasive in business and other allied areas, gradually the advancements in Artificial Intelligence also emerged as innovations across domains. Artificial Intelligence by definition is expected to substitute Human Intelligence, thereby making a huge space for innovation. In fact, all processes effected by human intelligence are liable to be replaced by AI which in itself is a massive innovation space. This paper will study the publication's repository (Scopus and Google Scholar from 1983 till 2021) in the area of Artificial Intelligence and innovation, then analyze the trend to gain insight into the evolution of AI as a vehicle for innovation.

A Study on the Impact of Artificial Intelligence Industry on Macroeconomy: Evidence from United States of America

  • He, Yugang
    • Asian Journal of Business Environment
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    • 제8권4호
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    • pp.37-44
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    • 2018
  • Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

Memory Design for Artificial Intelligence

  • Cho, Doosan
    • International Journal of Internet, Broadcasting and Communication
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    • 제12권1호
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    • pp.90-94
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    • 2020
  • Artificial intelligence (AI) is software that learns large amounts of data and provides the desired results for certain patterns. In other words, learning a large amount of data is very important, and the role of memory in terms of computing systems is important. Massive data means wider bandwidth, and the design of the memory system that can provide it becomes even more important. Providing wide bandwidth in AI systems is also related to power consumption. AlphaGo, for example, consumes 170 kW of power using 1202 CPUs and 176 GPUs. Since more than 50% of the consumption of memory is usually used by system chips, a lot of investment is being made in memory technology for AI chips. MRAM, PRAM, ReRAM and Hybrid RAM are mainly studied. This study presents various memory technologies that are being studied in artificial intelligence chip design. Especially, MRAM and PRAM are commerciallized for the next generation memory. They have two significant advantages that are ultra low power consumption and nearly zero leakage power. This paper describes a comparative analysis of the four representative new memory technologies.

Emotional Robotics based on iT_Media

  • Yoon, Joong-Sun;Yoh, Myeung-Sook;Cho, Bong-Kug
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.804-809
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    • 2004
  • Intelligence is thought to be related to interaction rather than a deep but passive thinking. Interactive tangible media "iT_Media" is proposed to explore these issues. Personal robotics is a major area to investigate these ideas. A new design methodology for personal and emotional robotics is proposed. Sciences of the artificial and intelligence have been investigated. A short history of artificial intelligence is presented in terms of logic, heuristic, and mobility; a science of intelligence is presented in terms of imitation and understanding; intelligence issues for robotics and intelligence measures are described. A design methodology for personal robots based on science of emotion is investigated. We investigate three different aspects of design: visceral, behavioral, reflective. We also discuss affect and emotion in robots, robots that sense emotion, robots that induce emotion in people, and implications and ethical issues of emotional robots. Personal robotics for the elderly seems to be a major area in which to explore these ideas.

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The Effectiveness of a Program in Activities for Early Students to Develop Some of the Basic Skills Needed for the Age of Artificial Intelligence

  • Adelah Abdulhamid Abdulwahab, Rajab
    • International Journal of Computer Science & Network Security
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    • 제22권12호
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    • pp.239-244
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    • 2022
  • The study aimed to build a program in activities for early childhood students to develop some of the basic skills necessary for the age of artificial intelligence, to achieve the objectives of the study , the researcher used the experimental design, and the research sample consisted of 37 early childhood students. The study used the following tools: Experimental treatment subject: the proposed program in the activities, Measurement and evaluation tool: testing the basic skills needed for the age of artificial intelligence. The study concluded several results: There is a statistically significant difference (α≤0.05) between the average grades of the early childhood students in the research group in the tribal and remote measurements to test the basic skills necessary for the age of artificial intelligence in favor of the students grades in the dimensional measurements. Practical application of the study through benefiting from the proposed program of activities prepared in the current study in planning and implementing activities to develop the basic skills necessary for the age of artificial intelligence among early childhood students.