Comments responding to an FCC notice of inquiry that seeks insight into how to obtain more sophisticated real-time knowledge of non-Federal spectrum usage have highlighted the importance and potential of AI and machine learning systems.
The Satellite Industry Association stated that, “sensing the physical surroundings together with AI will further enhance situational awareness. Sensing supports various innovative applications such as high precision positioning and localization of devices and objects, high resolution and real-time 3D-mapping for automated and safe driving/transport, digital twins, and industrial automation.”
SpectrumX recognized the “substantial opportunity to apply [AI] tools to spectrum data analysis and spectrum management,” while Lockheed Martin agreed that “artificial intelligence  and machine learning  offer promise in evaluating big datasets and providing . . . insights into spectrum use over time, spectral band, and geography.” The NCTA stated that “Chairwoman Rosenworcel’s optimism on the transformative capabilities of AI and ML tools is well-founded,” noting that “AI and ML can be powerful tools to mine unstructured data and digest it into a more user-friendly format.”