Artificial intelligence (AI) is the study and engineering of systems that perform tasks which normally require human judgement: understanding language, recognising images, planning, and learning from data.
Core areas
- Machine learning: models that improve from examples instead of hand-written rules.
- Deep learning: neural networks with many layers, behind most modern speech and vision systems.
- Natural language processing: reading, translating and generating text.
- Computer vision: extracting structure from images and video.
- Reinforcement learning: agents that learn by acting and receiving rewards.
Practical notes
Reliable AI systems depend on clean data, clear evaluation and monitoring after deployment. A model that scores well on a benchmark can still fail on real inputs, so measure on data that resembles production.