Enhancing a submarine’s navigation and positioning system through artificial intelligence can effectively improve its stealth in enemy waters. Several approaches can be taken: 1. **Intelligent sonar system**: Use artificial intelligence algorithms to process sonar data to improve the accuracy and sensitivity of underwater target detection. AI can quickly analyze complex ocean acoustic environments, identify and distinguish the acoustic characteristics of enemy ships, and better avoid them. 2. **Machine learning to optimize routes**: Apply machine learning algorithms to predict changes in the ocean environment and automatically optimize submarine routes to avoid potential threat areas. By training models with historical data, submarine paths can be adjusted in real time to remain hidden. 3. **Automated decision support system**: AI can integrate and analyze data from multiple sensors to provide real-time decision support to submarine commanders. Through deep learning models, the system can identify potential threats and recommend the best course of action to reduce exposure risks. 4. **Data fusion technology**: Fusion of multiple sensor data such as sonar, radar, infrared, etc., using AI algorithms to improve situational awareness and help submarines navigate stealthily in complex environments. 5. **Adaptive noise reduction technology**: AI algorithms are used to monitor and adjust the noise emissions of submarines in real time to reduce the probability of them being detected by the enemy. This includes adjusting the mechanical noise of the submarine and optimizing the speed and course. 6. **Simulation training system**: Using AI-driven simulation systems for training, submarine personnel can deal with various potential threats in a safe environment, improve their response capabilities and concealment techniques. Through these methods, artificial intelligence can greatly enhance the navigation and positioning systems of submarines, making them more covert and safer when operating in enemy waters.