Can AI see things across the broad em spectrum and understand what it sees in for example x-ray or microwave ?

being able to see more than just human visible light opens up a world of new information but there may be much less training data available to interpret what is "seen"

AI systems can analyze imagery captured across the electromagnetic (EM) spectrum, including X-ray, microwave and visible bands, by using machine-learning models pre-trained on labeled datasets from each domain. For instance, deep convolutional networks and vision transformers have been fine-tuned for medical X-ray interpretation and for synthetic aperture radar (SAR) processing to detect objects or environmental features in microwave data. However, performance degrades when models are directly transferred between very different bands without sufficient domain-specific data or physics-informed regularization. Cross-spectral understanding therefore remains an active research area, combining sensor fusion, domain adaptation and explainable AI techniques.

— Enriched May 12, 2026 · Source: National Academies of Sciences, Engineering, and Medicine