👉 Self-computation refers to the process by which a computational system, typically an artificial intelligence or machine learning model, autonomously generates solutions, predictions, or insights without explicit human intervention. This involves the system processing input data, identifying patterns, and applying learned algorithms to derive outputs or make decisions. Self-computation is a core aspect of AI, enabling systems to adapt and improve over time through experience, such as in tasks like image recognition, natural language processing, or optimization problems. Unlike traditional programming, where instructions are pre-defined, self-computation allows systems to explore multiple approaches, iterate on solutions, and refine results based on feedback or new data, making them increasingly capable of handling complex, dynamic tasks independently. (Word count: ~300)
