AI Data Mining Core (Oracle): Establish an AI center to intensively mine consolidated historical astronomical datasets (all wavelengths). Focus: Find previously missed threat precursors (SNe variability, solar patterns, NEO behavior) and predictive anomalies.
AI Ground Observation Network (Argus): Network existing/low-cost ground telescopes (university, amateur) using AI for optimized scheduling and real-time analysis. Fund essential connectivity/automation upgrades. Focus: Top Priority: NEO detection & rapid orbit confirmation. Also, targeted monitoring of AI-flagged threats (solar activity, SNe candidates) and rapid transient response.
Minimalist SmallSat Monitors (Styx): Design and deploy narrowly focused, ultra-low-cost CubeSats for critical space-based data unobtainable from the ground. Focus: Prioritize essential solar monitoring (vector magnetograms for flare precursors), potentially adding basic transient detection (X-ray/gamma-ray flash alerts).
AI Predictive Simulation Hub (Delphi): Utilize high-performance computing for AI-accelerated simulations of threat phenomena physics. Focus:Model solar flare initiation, SNe/GRB mechanisms, and NEO dynamics to identify critical warning thresholds and improve risk assessment.
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