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Tag: machine learning

April 24, 2026

Institutionalizing Artificial Intelligence Integration in Special Forces: The Case for a Group-Level AI Cell

Artificial intelligence (AI), machine learning, and large language models are no longer emerging technologies; they now reshape global military, commercial, and informational areas. For Special Forces Groups (SFG), the question is not adoption but method: Will it be synchronized and institutional, or fragmented? Special Forces excel at decentralized execution. Special Forces operational detachments - alpha (SFOD-As) innovate in contact, adjust to local conditions, and solve problems with limited direction. This culture is a strength. Yet with complex technologies like AI, decentralized experimentation alone falls short. Without institutional focus, modernization is uneven. Some battalions advance while others lag. Tools multiply without standards, and security measures differ. Lessons learned remain isolated. A small, dedicated two-person AI Integration Cell at the SFG level institutionalizes innovation, enables decentralized execution, synchronizes AI initiatives, and ensures competitiveness as adversaries rapidly integrate AI.

May 1, 2025

Digital Twins for a Digital World: Data-Driven Training Optimizing the Ready Medical Force

As the military transitions its focus to large-scale combat operations (LSCO) within the context of the multi-domain doctrinal concept, significant challenges facing the military health system were identified for which there are no immediate solutions.01,02 Alongside this shift in focus, strategic documents and senior military leaders suggest that ubiquitous data collection, robust cyber-secure networks, massive processing power, and scalable artificial intelligence (AI) constitute a technological revolution that is changing the character of war.03 The military health system’s ability to deliver tactical combat casualty care must evolve along with doctrinal and technological changes. The military health system needs to seize the opportunity to rapidly shift its priorities and resources to address these changes. This article helps address the imminent yet unwritten requirement to apply emerging technologies to military medical training.

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