Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. These processes include learning, reasoning, problem-solving, perception, natural language understanding, and decision-making. AI can be categorized into two main types: narrow AI, which is designed to perform a specific task (such as voice recognition or image classification), and general AI, which would possess the ability to understand, learn, and apply intelligence broadly across various tasks—similar to human capabilities.

AI systems typically utilize algorithms, data, and computational power to analyze vast amounts of information, identify patterns, and make decisions or predictions based on that data. Machine learning, a subset of AI, involves training models on data to improve their performance over time without explicit programming for each specific task. In recent years, advancements in deep learning, a further subset of machine learning, have dramatically improved the capabilities of AI, enabling applications in fields such as healthcare, finance, transportation, and entertainment.

AI technologies are increasingly being integrated into everyday life through virtual assistants, recommendation systems, autonomous vehicles, and intelligent robotics, transforming how we interact with technology and enhancing efficiency across various sectors. However, the rise of AI also raises ethical questions and concerns about privacy, employment, and the implications of machines making decisions that affect human lives.