👉 Realistic computing, also known as artificial intelligence or machine learning, refers to the development of computer systems and algorithms that can perform tasks requiring human-like intelligence, such as learning from experience, understanding natural language, recognizing patterns, and making decisions. These systems leverage vast amounts of data to train models that can adapt and improve over time, mimicking cognitive processes. Unlike traditional computing, which follows rigid, predefined rules, realistic computing systems can handle ambiguity, uncertainty, and complexity, enabling applications in areas like image and speech recognition, natural language processing, autonomous vehicles, and personalized healthcare. The goal is to create machines that can reason, learn, and interact with humans in a more intuitive and context-aware manner, bridging the gap between human cognition and computational capabilities.
