ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866912209869733888 |
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| author | Lee, Youngjoon Park, Taehyun Kang, Yeongjoon Kim, Jonghoe Kang, Joonhyuk |
| author_facet | Lee, Youngjoon Park, Taehyun Kang, Yeongjoon Kim, Jonghoe Kang, Joonhyuk |
| contents | Integrating hyperscale AI into national defense M&S(Modeling and Simulation), under the expanding IoMDT(Internet of Military Defense Things) framework, is crucial for boosting strategic and operational readiness. We examine how IoMDT-driven hyperscale AI can provide high accuracy, speed, and the ability to simulate complex, interconnected battlefield scenarios in defense M&S. Countries like the United States and China are leading the adoption of these technologies, with varying levels of success. However, realizing the full potential of hyperscale AI requires overcoming challenges such as closed networks, sparse or long-tail data, complex decision-making processes, and a shortage of experts. Future directions highlight the need to adopt domestic foundation models, expand GPU/NPU investments, leverage large tech services, and employ open source solutions. These efforts will enhance national security, maintain a competitive edge, and spur broader technological and economic growth. With this blueprint, the Republic of Korea can strengthen its defense posture and stay ahead of emerging threats in modern warfare. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_00367 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions Lee, Youngjoon Park, Taehyun Kang, Yeongjoon Kim, Jonghoe Kang, Joonhyuk Signal Processing Machine Learning Integrating hyperscale AI into national defense M&S(Modeling and Simulation), under the expanding IoMDT(Internet of Military Defense Things) framework, is crucial for boosting strategic and operational readiness. We examine how IoMDT-driven hyperscale AI can provide high accuracy, speed, and the ability to simulate complex, interconnected battlefield scenarios in defense M&S. Countries like the United States and China are leading the adoption of these technologies, with varying levels of success. However, realizing the full potential of hyperscale AI requires overcoming challenges such as closed networks, sparse or long-tail data, complex decision-making processes, and a shortage of experts. Future directions highlight the need to adopt domestic foundation models, expand GPU/NPU investments, leverage large tech services, and employ open source solutions. These efforts will enhance national security, maintain a competitive edge, and spur broader technological and economic growth. With this blueprint, the Republic of Korea can strengthen its defense posture and stay ahead of emerging threats in modern warfare. |
| title | ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions |
| topic | Signal Processing Machine Learning |
| url | https://arxiv.org/abs/2410.00367 |