Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that can perform tasks requiring learning, reasoning, problem-solving, and decision-making. AI systems process large amounts of data, recognize patterns, and adapt over time, often mimicking human cognitive functions.
AI can be rule-based (traditional AI) or learning-based (machine learning & deep learning). It is used across industries to automate tasks, enhance decision-making, and improve efficiency.
Modern AI applications rely heavily on Supervised Learning, Unsupervised Learning, and Deep Learning.
How These AI Types Work Together in Real Applications
Example: Instead of manually programming an AI to recognize spam emails, a machine learning model learns by analyzing thousands of spam and non-spam emails. Over time, it improves its accuracy in filtering spam.
