Ship Learning

Ship learning refers to the process of training artificial intelligence systems, particularly in maritime contexts, to improve their performance in tasks such as navigation, maintenance, or safety. This involves collecting data from ships, analyzing patterns, and using machine learning algorithms to help ships operate more efficiently and safely. Imagine it as teaching a ship's systems to "think" and make decisions based on real-world data, much like how humans learn from experience. Ship learning enhances decision-making, reduces operational costs, and increases safety by enabling ships to adapt and respond proactively to their environment.