• Title, Summary, Keyword: Artificial Intelligence

Search Result 2,032, Processing Time 0.043 seconds

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
    • /
    • v.23 no.2
    • /
    • pp.223-237
    • /
    • 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.'

A Development and Application of the Teaching and Learning Model of Artificial Intelligence Education for Elementary Students (초등학생의 인공지능 교육을 위한 교수 학습 모델 개발 및 적용)

  • Kim, Kapsu;Park, Youngki
    • Journal of The Korean Association of Information Education
    • /
    • v.21 no.1
    • /
    • pp.139-149
    • /
    • 2017
  • Artificial intelligence education is very important in the 21st century knowledge information society. Even if it is very important to understand artificial intelligence and practice computer programming in computer education in the fourth industrial revolution, but there is no teaching and learning model to understand artificial intelligence and computer programming education. In this paper, the proposed model consists of problem understanding step, data organizing step, artificial intelligence model setting step, programming step, and report writing step. At the program step, students can choose to copy, transform, create, and challenge steps to their level. In this study, the validity of the model was proved by the Delphi evaluation of elementary school teachers. The results of this study provide a good opportunity for elementary school students to practice artificial intelligence programs.

Why should we worry about controlling AI? (우리는 왜 인공지능에 대한 통제를 고민해야 하는가?)

  • Rheey, Sang-hun
    • Journal of Korean Philosophical Society
    • /
    • v.147
    • /
    • pp.261-281
    • /
    • 2018
  • This paper will cover recent discussions on the risks of human being due to the development of artificial intelligence(AI). We will consider AI research as artificial narrow intelligence(ANI), artificial general intelligence(AGI), and artificial super intelligence(ASI). First, we examine the risks of ANI, or weak AI systems. To maximize efficiency, humans will use autonomous AI extensively. At this time, we can predict the risks that can arise by transferring a great deal of authority to autonomous AI and AI's judging and acting without human intervention. Even a sophisticated system, human-made artificial intelligence systems are incomplete, and virus infections or bugs can cause errors. So I think there should be a limit to what I entrust to artificial intelligence. Typically, we do not believe that lethal autonomous weapons systems should be allowed. Strong AI researchers are optimistic about the emergence of artificial general intelligence(AGI) and artificial superintelligence(ASI). Superintelligence is an AI system that surpasses human ability in all respects, so it may act against human interests or harm human beings. So the problem of controlling superintelligence, i.e. control problem is being seriously considered. In this paper, we have outlined how to control superintelligence based on the proposed control schemes. If superintelligence emerges, it is judged that there is no way for humans to completely control superintelligence at this time. But the emergence of superintelligence may be a fictitious assumption. Even in this case, research on control problems is of practical value in setting the direction of future AI research.

A Trend of Artificial Intelligence in the Healthcare (헬스케어산업에서의 인공지능 활용 동향)

  • Lee, Sae Bom;Song, Jaemin;Park, Arum
    • The Journal of the Korea Contents Association
    • /
    • v.20 no.5
    • /
    • pp.448-456
    • /
    • 2020
  • In the era of the Fourth Industrial Revolution, how well the explosive information and data are handled and used is recognized as a problem directly related to the competitiveness of the industry. In particular, the introduction of artificial intelligence technology in the medical field can be said to have a great social impact on its use, and this research was conducted to understand the trends of artificial intelligence according to the range of use case. In this study, the application of artificial intelligence in the healthcare field is divided into four scopes, (1) hospital solutions, (2) personal health care, (3) insurance, and (4) new drug development. Based on various cases and trends in artificial intelligence technology, this study tried to give directions on how to develop artificial intelligence in Korea. In this study, we wanted to find out the use cases of artificial intelligence in various areas of healthcare industry and describe the latest issues in healthcare to help the overall medical industry. The development of artificial intelligence-based medical systems has made it easier to manage the chronic patients, increased the accuracy of cancer or disease diagnosis, and helped developing new drugs faster and more efficiently. Through this study, the medical industry we wanted to give a direction to the future development of artificial intelligence in Korea.

Exploring the Educational Use of Artificial Intelligence based on R mapping - Focusing on Foreign Publication Analysis Results - (R 매핑을 이용한 인공지능의 교육적 활용 탐색 -국외 문헌 분석을 중심으로-)

  • Kim, Hyung-Uk;Mun, Seong-Yun
    • Journal of The Korean Association of Information Education
    • /
    • v.24 no.4
    • /
    • pp.313-325
    • /
    • 2020
  • There is a growing interest and need for the educational use of artificial intelligence as artificial intelligence technologies such as machine learning and deep learning, the core technologies of the intelligent information society, owing to the recent innovative technological advances. Consequently, the Ministry of Education announced the First Information Education Comprehensive Plan for introducing artificial intelligence competence enhancing education into the education field in preparation for the intelligent information society based on artificial intelligence technologies. Therefore, this study collected 416 overseas papers related to the educational use of artificial intelligence from the Web of Science (WoS) in order to explore the potential for using artificial intelligence educationally. This study analyzed the research status and research topic by country, citation counts, network analysis on keywords of the collected data by using the bibliometrix package of R program. Through this, it was possible to identify the research trend on the educational use of artificial intelligence, currently being conducted in foreign countries. It is believed that it will be possible to obtain implications for the topics and directions to be studied in the information education for strengthening artificial intelligence education based on the results of this study.

Research on the Methodology for Policy Deriving to active Artificial Intelligence (인공지능 활성화 정책 도출 방법 연구)

  • Yoo, Soonduck
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.20 no.5
    • /
    • pp.187-193
    • /
    • 2020
  • The purpose of this study is to study the methodology of deriving a policy that activates artificial intelligence from the governmental perspective in order to induce corporate growth by effectively grafting artificial intelligence technology into society and thereby improve individual and national competitiveness by creating new jobs. In order to derive activation plans, 1) detailed investigation of the domestic environment, 2) discovery of priority support fields and models that can be applied to artificial intelligence, 3) preparation of guidelines for activation and introduction, 4) specific methods for promoting and activating artificial intelligence Should be presented. The proposed artificial intelligence activation method performs a procedure to verify and confirm the effectiveness of artificial intelligence nurturing through a multi-faceted approach. The multi-faceted analysis approach includes business ecosystem aspects, industry-specific aspects including companies, technology fields, policy aspects, public and non-public services aspects, government-led and private-led aspects. Therefore, it can be reviewed as a method of inducing activation in various forms. In the future research field, it is necessary to prove the effectiveness of the proposed activation plan based on empirical data on artificial intelligence-based services. The expected effect of this study is to contribute to support the development of artificial intelligence technology and to establish related policies.

Applications of Artificial Intelligence to Power Systems (전력시스템에 있어서의 인공지능의 응용)

  • Park, Jong-Keun
    • Proceedings of the KIEE Conference
    • /
    • /
    • pp.26-28
    • /
    • 1993
  • The application of artificial intelligence technologies to power systems has been an active research topic for about a decade. The purpose of this paper is to provide a brief review of the current status of applications of artificial intelligence (AI) techniques to power systems. In this paper, AI techniques, such as knowlege-based expert systems, artificial neural networks and fuzzy systems are reviewed in the view of the applications to power systems.

  • PDF

Case Study on Big Data by use of Artificial Intelligence (인공지능을 활용한 빅데이터 사례분석)

  • Park, Sungbum;Lee, Sangwon;Ahn, Hyunsup;Jung, In-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • /
    • pp.211-213
    • /
    • 2013
  • In these days, the delusions of Big Data and apprehension about them are coming into the picture in many business fields. General techniques for preservation, analysis, and utilization of Big Data are falling short of useful techniques for the volume of fast-increasing data. However, there are some assertions that the power of analysis and prediction of Artificial Intelligence would intensify the power of Big Data analysis. This paper studies on business cases to try to graft the Artificial Intelligence technique onto Big Data analysis. We first research on various techniques of Artificial Intelligence and relations between Artificial Intelligence and Big Data. And then, we perform case studies of Big Data with using Artificial Intelligence and propose some roles of Big Data in the future.

  • PDF

Analysis of major research trends in artificial intelligence through analysis of thesis data (논문데이터 분석을 통한 인공지능 분야 주요 연구 동향 분석)

  • Chung, Myoung-Sug;Park, Seong-Hyeon;Chae, Byeong-Hoon;Lee, Joo-Yeoun
    • Journal of Digital Convergence
    • /
    • v.15 no.5
    • /
    • pp.225-233
    • /
    • 2017
  • In this paper, we collected the articles related to artificial intelligence among SCI(E) journals published by Korean authors in 'Web of Science' and conducted frequency analysis and keyword network analysis. As a result of the analysis, the artificial intelligence thesis showed an average growth of about 10% per year, but the relative ratio decreased. As time went on, we could confirm that there is a lot of practical and applied research in artificial intelligence research. Unlike the US 'National Strategy for Artificial Intelligence Research and Development,' the field of research in Korea was focused on local and technical aspects. Therefore, Korea should go beyond the theoretical and technical iterations of artificial intelligence, and research should be carried out to present a comprehensive future direction.

Digital signal change through artificial intelligence machine learning method comparison and learning (인공지능 기계학습 방법 비교와 학습을 통한 디지털 신호변화)

  • Yi, Dokkyun;Park, Jieun
    • Journal of Digital Convergence
    • /
    • v.17 no.10
    • /
    • pp.251-258
    • /
    • 2019
  • In the future, various products are created in various fields using artificial intelligence. In this age, it is a very important problem to know the operation principle of artificial intelligence learning method and to use it correctly. This paper introduces artificial intelligence learning methods that have been known so far. Learning of artificial intelligence is based on the fixed point iteration method of mathematics. The GD(Gradient Descent) method, which adjusts the convergence speed based on the fixed point iteration method, the Momentum method to summate the amount of gradient, and finally, the Adam method that mixed these methods. This paper describes the advantages and disadvantages of each method. In particularly, the Adam method having adaptivity controls learning ability of machine learning. And we analyze how these methods affect digital signals. The changes in the learning process of digital signals are the basis of accurate application and accurate judgment in the future work and research using artificial intelligence.