- Advanced Space is applying machine learning techniques to improve the tracking of orbital debris as part of an initiative with IARPA.
- The collaboration aims to enhance the accuracy and efficiency of monitoring space debris, which poses a growing threat to satellites and space missions.
A Leap Forward in Orbital Debris Tracking
August 30, 2023, Westminster, Colorado– Advanced Space, a company specializing in space situational awareness, has announced its collaboration with the Intelligence Advanced Research Projects Activity (IARPA) to apply machine learning techniques for tracking orbital debris.
The Growing Threat of Space Debris
Orbital debris, often referred to as “space junk,” poses an increasing risk to satellites and space missions. The collaboration between Advanced Space and IARPA aims to tackle this issue by enhancing the accuracy and efficiency of monitoring systems.
Machine Learning: The New Frontier in Space Safety
Advanced Space will employ machine learning algorithms to sift through vast amounts of data, identifying patterns and anomalies that could indicate the presence of orbital debris. This technological approach is expected to significantly improve the current methods of tracking and predicting the movement of space debris.
A Collaborative Effort for a Safer Space
The initiative is part of IARPA’s broader efforts to invest in innovative technologies that can contribute to national security and the safety of space operations. Advanced Space’s expertise in machine learning and space situational awareness makes it a natural fit for this ambitious project.
