• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.71-80
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• 2021

Artificial intelligence (AI) will have a huge impact on future education. We look at the role of AI in education and changes in schools. Personalized education is being attempted in limited services, and an interactive tutor service with speech recognition/dialog technology is being developed. In the future, we look forward to fully personalized education for individual students through AI teachers. Teachers are expected to make more effort to teach creative thinking, critical thinking, communication, and collaboration. As the speed of development of AI technology accelerates, we expect that AI-based education will be deeply established around us in the near future. We first introduce the details of the personalization technology and then discuss the AI-based foreign language speaking education research conducted by ETRI.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.225-230
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• 2023

With the development of AI technology, there is a growing discussion about Text-to-Image Generative AI. We presented a Generative AI video production method and delineated a methodology for the production of personalized AI-generated videos with the objective of broadening the landscape of the video domain. And we meticulously examined the procedural steps involved in AI-driven video production and directly implemented a video creation approach utilizing the VQGAN-CLIP model. The outcomes produced by the VQGAN-CLIP model exhibited a relatively moderate resolution and frame rate, and predominantly manifested as abstract images. Such characteristics indicated potential applicability in OTT-based video content or the realm of visual arts. It is anticipated that AI-driven video production techniques will see heightened utilization in forthcoming endeavors.

• Electronics and Telecommunications Trends
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• v.38 no.5
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• pp.1-11
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• 2023

The emergence of generative hyperscale artificial intelligence (AI) has enabled new services, such as image-generating AI and conversational AI based on large language models. Such services likely lead to the influx of numerous users, who cannot be handled using conventional AI models. Furthermore, the exponential increase in training data, computations, and high user demand of AI models has led to intensive hardware resource consumption, highlighting the need to develop domain-specific semiconductors for hyperscale AI. In this technical report, we describe development trends in technologies for hyperscale AI processors pursued by domestic and foreign semiconductor companies, such as NVIDIA, Graphcore, Tesla, Google, Meta, SAPEON, FuriosaAI, and Rebellions.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.534-535
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• 2023

청각 장애인 운전자를 위한 보조등을 개발하고자 한다. 청각 장애인들은 운전할 때 다른 차의 경적이나 구급차, 소방차와 같은 긴급 자동차의 사이렌 소리를 듣지 못한다. LED 기술과 아두이노를 활용하여 소리의 발생 위치와 종류를 시각적으로 표시하며, 진동으로 알림을 제공해 주고자 한다. 이를 통해 다른 운전자와의 오해를 줄이고 운전 중의 시각 집중도를 높일 수 있을 것이다. 이로써, 청각 장애인들이 운전 시 마주치는 애로사항을 완화할 수 있을 것이다. 이 제품은 다양한 차종에 적용할 수 있을 것이며, 청각 장애 운전자에게 자유로운 운전과 도로 안전을 제공할 것으로 기대된다.

• Journal of Internet Computing and Services
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• v.22 no.4
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• pp.99-110
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• 2021

Governments around the world are actively establishing strategies and initiatives to spread the use of artificial intelligence (AI), for AI is not a mere new technology, but is an innovative technology that brings about extensive changes in industrial and social structures and is a core engine that will lead the 4th Industrial Revolution. The South Korean government has also been paying attention to AI as a technology and tool for innovative growth, but its application to the industries is still rather sluggish. The government has prepared multifarious AI-related policies with the aim of constructing South Korea as an AI powerhouse, but there is no clear strategy on which detailed policies to implement first and which industries to apply AI preferentially. With these limitations of South Korea's AI policies in mind, this paper analyzed the priorities of industries in AI adoption and the priorities of AI-related national policies, using Delphi-AHP method for 30 top-level AI experts in South Korea. The results of analysis show that AI application is urgent and necessary in the fields of medical/healthcare, public and safety, and manufacturing, which seems to reflect the peak of the COVID-19 crisis in the second half of 2020 at the time of the investigation. And it turns out that policies related to AI talent cultivation, data, and R&D investment are important and urgent above all in order for organizations to apply AI. This suggests that strategies are required to focus limited national resources on these industries and policies first.

• Korean Journal of Artificial Intelligence
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• v.11 no.3
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• pp.1-5
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• 2023

With recent advancements in artificial intelligence (AI) technology, more products based on AI are being launched and used. However, using AI safely requires an awareness of the potential risks it can pose. These concerns must be evaluated by experts and users must be informed of the results. In response to this need, many countries have implemented certification programs for products based on AI. In this study, we analyze several trends and differences in AI product certification programs across several countries and emphasize the importance of such programs in ensuring the safety and trustworthiness of products that include AI. To this end, we examine four international AI product certification programs and suggest methods for improving and promoting these programs. The certification programs target AI products produced for specific purposes such as autonomous intelligence systems and facial recognition technology, or extend a conventional software quality certification based on the ISO/IEC 25000 standard. The results of our analysis show that companies aim to strategically differentiate their products in the market by ensuring the quality and trustworthiness of AI technologies. Additionally, we propose methods to improve and promote the certification programs based on the results. These findings provide new knowledge and insights that contribute to the development of AI-based product certification programs.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.31-36
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• 2021

In the era of the 4th industrial revolution represented by AI technology, various AI education is being conducted in the education field. However, AI education in the educational field is mostly one-off project education or teacher-centered education. In order to practice student-centered, field-oriented education, an artificial intelligence education program was developed based on design thinking. The AI education program based on design thinking will improve understanding and ability to use AI through the process of solving everyday problems with AI, and will develop the ability to create new values beyond understanding AI. It is expected that various AI education will take place in the educational field through design thinking-based artificial intelligence education programs.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.135-144
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• 2023

Artificial Intelligence (AI) is a prominent topic in almost every field. In Korea, Systems Engineering (SE) procedures are applied in Defense Acquisition, and it is anticipated that SE procedures will also be applied to systems incorporating AI capabilities. This study explores the applicability of the concepts "AI4SE (AI for SE)" and "SE4AI (SE for AI)," which have been proposed in the United States, to the Korean context. The research examines the feasibility of applying these concepts, identifies necessary tasks, and proposes implementation strategies. For the AI4SE, many attempts and studies applying AI to SE Processes both Requirements & Architectures Define, System implementation & V&V, and Sustainment. It needs Explainability and Security. For the SE4AI, the Functional AI implementation level, Quality & Security of the Data-set, AI Ethics, and Review policies are needed. Furthermore, it provides perspectives on how these two concepts should ultimately converge and suggests future directions for development.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10b
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• pp.1440-1445
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• 1990

The system with softfware packages for control system design unifying and encompassing rule based control and conventional control based on numerical models were developed. Users who are not familiar with control theory, numerical computing, and artificial intelligence (AI) can perform system analysis, control design and development of AI control system without difficulty.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.223-230
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• 2024

The purposes of this study is to find out how to use Generative AI by class stage and class model so that classes can be planned using various Generative AI in elementary and secondary education. To this end, contents of using Generative AI according to general instructional stages and instructional models by school level and subject were developed, and revised and supplemented through review by 13 field experts. As for the method of using Generative AI by class stage, general class stages were divided into three stages: 'class preparation', 'in class', and 'class arrangement', and the subject of using Generative AI at each stage, the contents of using it, and the types of Generative AI that can be used are summarized. As a method of using Generative AI according to the class model, eight class contents were developed based on teaching and learning models according to the characteristics of each school level and subject. In order to expand the use of Generative AI in elementary and secondary classes, it is necessary to develop more diverse class contents by school level and subject and distribute them in the field. It is also necessary to develop educational materials on matters to consider when using Generative AI in class.