👉 Self-computing refers to the capability of a system, typically a computer or AI model, to autonomously process information, make decisions, and execute tasks without direct human intervention. This involves the system's ability to analyze data, learn from patterns, and adapt its behavior based on outcomes, often through machine learning algorithms. Self-computing systems can perform complex operations such as problem-solving, pattern recognition, and predictive analytics independently. They leverage computational power to simulate human-like reasoning, enabling them to handle tasks ranging from simple calculations to sophisticated decision-making processes in dynamic environments. This autonomy is achieved through continuous learning and optimization, allowing the system to improve its performance over time without explicit programming for each new scenario.
