is a branch of computer science focused on creating systems that simulate human intelligence to perform tasks, learn from data, and adapt to new information. Its nature is inherently adaptive rather than just analytical, relying on machine learning and pattern recognition to improve performance without explicit, constant reprogramming.

Current AI is mostly "Narrow" (or Weak) AI, designed for specific tasks like language translation, driving, or recommendations. "General" AI (AGI) remains theoretical.AI is not static; it constantly learns and updates its approach based on the results of its actions.
- Symbolic AI & Expert Systems: Early AI focused on representing knowledge and making deductions using programmed rules.
- Neural Networks & Deep Learning: Modern, complex AI uses multi-layered networks modeled after the human brain to extract high-level features from data.