Researchers have developed a new AI framework for predicting radio signal strength in areas where communication is critical. The 'physics-informed VAE-EVT' model focuses on both the average and extreme signal levels to accurately identify regions with low signal-to-noise ratios. This approach uses a combination of deterministic features, such as line-of-sight and distance, and statistical models to capture the tail distribution of signal strength. In experiments, the method outperformed existing approaches by significantly reducing errors in predicting signal strength in areas with stringent communication requirements. --- Why it matters: This matters because accurate prediction of radio signal strength is crucial for ultra-reliable low-latency communication (URLLC) applications, such as mission-critical control systems and remote healthcare services. Engineers can use this framework to improve the performance of wireless networks in challenging environments. Source: https://arxiv.org/abs/2608.15314