韩军拟用超大规模AI提升战场模拟能力，应对现代战争挑战
ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions
- 基于军事物联网框架，用超大规模AI加速战场仿真
- 美国中国已推进应用，但面临数据少、专家缺等难题
- 适合关注国防科技与人工智能融合的政策制定者
将超大规模AI融入国家防御建模与仿真（M&S），在不断扩展的军事物联网（IoMDT）框架下，对提升战略与作战准备至关重要。我们分析了由IoMDT驱动的超大规模AI如何在防御M&S中实现高精度、高速度，并模拟复杂互联的战场场景。美国和中国等国正积极采用此类技术，成效不一。然而，充分发挥超大规模AI潜力仍需克服封闭网络、稀疏或长尾数据、复杂决策过程以及专家短缺等挑战。未来方向包括采用本土基础模型、扩大GPU/NPU投资、利用大型科技服务平台，以及推广开源解决方案。这些举措将增强国家安全，保持竞争优势，并推动更广泛的科技与经济增长。此蓝图可助韩国强化国防态势，应对新兴威胁。
原文摘要 · Abstract (English)
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.
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