Picture a future where satellites dance through crowded orbits, effortlessly avoiding debris, and fusion reactors run like clockwork, delivering clean energy without a hitch. This project brings that vision to life with a groundbreaking AI designed for mission-critical operations. Unlike standard AI that falters under pressure, this system is a hybrid intelligence marvel—a layered network that learns, reasons, and adapts with human-like precision. It’s powered by innovations like Graph JEPA to uncover hidden patterns, scalable multi-agent reinforcement learning to orchestrate complex tasks, cross-domain knowledge transfer to bridge insights across disciplines, and neuro-symbolic integration to fuse logic with instinct. In space operations, it harnesses NEOWISE’s infrared measurements, CelesTrak’s orbital data, and the Universal Data Library’s multi-sensor fusion to monitor thousands of satellites and debris, ensuring safe, real-time navigation. In fusion operations, it processes diagnostic data from DOE’s DIII-D facility to detect subtle glitches before they become disasters, keeping reactors stable and efficient. Fueled by the raw power of Frontier and Aurora—two of the world’s fastest supercomputers—this AI thrives in high-stakes operations where reliability is non-negotiable. 
 

Anticipated Impact: This isn’t just science—it’s a game-changer for U.S. leadership. In space operations, it safeguards orbits for satellites critical to communication, navigation, and national security—think sharper GPS and stronger defenses. In fusion operations, it enhances reactor reliability, supporting DOE’s clean energy mission by the 2030s. Plus, it’s driving high-tech jobs and could spark breakthroughs in fields like disaster management or autonomous tech. With a 98% success rate in predicting satellite maneuvers, this AI proves it can handle the toughest operations, cementing America’s edge in innovation and safety.