Recently added

Large Language Models and Defense Strategy: Escalation Risks and National Security Challenges

Hou, Jonathan; Lax, Edwin (2026-02-17)

This literature review examines the strategic vulnerabilities posed by Large Language Models (LLMs) in military and national security contexts. It synthesizes recent research on their propensity for escalatory reasoning, ...

Synchronization-Aware Diffusion Models for Intra-Family RF Signal Classification

Hayden, Hunter; Botero, Joey (2026-02-17)

Classification of radio frequency (RF) signals in the presence of channel-induced synchronization errors remains a critical challenge in spectrum awareness systems. Traditional classification pipelines generally rely ...

ML Prediction Models to Identify Novel Beyond Visual Range Tactics and Error Analysis for DARPA AIR Agents

Li, William; Castor, Jeremy (2026-02-12)

This paper investigates the utility of using machine learning models to predict the outcome of simulated 2 vs. 2 Tactical Intercept engagements flown by autonomous agents in support of the DARPA Artificial Intelligence ...

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AIA: Recent submissions

Large Language Models and Defense Strategy: Escalation Risks and National Security Challenges

Synchronization-Aware Diffusion Models for Intra-Family RF Signal Classification

ML Prediction Models to Identify Novel Beyond Visual Range Tactics and Error Analysis for DARPA AIR Agents

AIA: Recent submissions

Large Language Models and Defense Strategy: Escalation Risks and National Security Challenges ﻿

Synchronization-Aware Diffusion Models for Intra-Family RF Signal Classification ﻿

ML Prediction Models to Identify Novel Beyond Visual Range Tactics and Error Analysis for DARPA AIR Agents ﻿

Large Language Models and Defense Strategy: Escalation Risks and National Security Challenges

Synchronization-Aware Diffusion Models for Intra-Family RF Signal Classification

ML Prediction Models to Identify Novel Beyond Visual Range Tactics and Error Analysis for DARPA AIR Agents