超大规模 AI 时代的韩国国防 M&S：概念、挑战与未来方向
ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions
AI总结：
本文探讨了在 IoMDT 框架下将超大规模 AI 集成到韩国国防 M&S 中的挑战与未来方向，提出采用国产基础模型、扩大 GPU/NPU 投资等策略以提升战略与作战准备能力。
摘要：
在不断扩展的 IoMDT（军事防御物联网）框架下，将超大规模 AI 集成到国防 M&S（建模与仿真）中，对于提升战略和作战准备至关重要。我们研究了由 IoMDT 驱动的超大规模 AI 如何在国防 M&S 中提供高准确度、速度以及模拟复杂且相互关联的战场场景的能力。美国和中国等国家在采用这些技术方面处于领先地位，但成功程度各不相同。然而，要充分发挥超大规模 AI 的潜力，必须克服诸如封闭网络、稀疏或长尾数据、复杂的决策过程以及专家短缺等挑战。未来方向强调需要采用国产基础模型、扩大 GPU/NPU 投资、利用大型科技服务并采用开源解决方案。这些努力将增强国家安全、保持竞争优势，并促进更广泛的技术和经济增长。凭借这一蓝图，韩国能够巩固其国防态势，并在现代战争的新兴威胁中保持领先。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
