New AI Achieves 95% Submarine Detection Efficiency, Changing the Rules of Naval Warfare

Chinese military researchers have developed a new artificial intelligence system that could fundamentally change the rules of underwater warfare. According to a study, this system could reduce the survival rate of submarines in future naval conflicts to just 5 percent. This development poses a serious challenge to the concept of "invisible" submarines, which have long been a crucial part of military strategy.

 

The system, developed by senior engineer Meng Hao and his team at the China Helicopter Research and Development Institute, differs fundamentally from traditional methods of submarine hunting. It functions as an "intelligent ocean commander" by combining data from various sources, including sonar buoys deployed from helicopters, underwater sensors, radars, and even oceanographic data such as water temperature and salinity. Computer simulations showed that the system can detect and track submarines with approximately 95 percent accuracy, even when they employ advanced stealth techniques.

 

This technological advancement coincides with China's continued expansion of its underwater surveillance capabilities in the South China Sea. The country has also unveiled new extra-large unmanned underwater vehicles (XLUUVs) designed to disable the U.S.-led "Fish Hook Undersea Defense Line" surveillance network. China's active pursuit of these technologies is driven by concerns about U.S. undersea dominance, as Chinese military experts believe that U.S. surveillance systems can track Chinese submarines "from port to patrol."

 

This technological breakthrough has also prompted a response from Western navies. The U.S. Navy has started seeking machine learning combat assistants for submarine operations, while companies like Ultra Maritime and BAE Systems have showcased their own AI-enhanced underwater warfare solutions. This underscores the global race to integrate artificial intelligence into naval warfare.

See the source.