What is AI?
Artificial Intelligence (AI) is the field of computer science focused on building systems that can perform tasks typically requiring human intelligence — such as reasoning, perception, language understanding, and decision making.
Machine Learning
Machine Learning (ML) is a subset of AI where systems learn patterns from data instead of being explicitly programmed. Common approaches include supervised, unsupervised, and reinforcement learning.
- Supervised learning: learns from labeled examples.
- Unsupervised learning: finds structure in unlabeled data.
- Reinforcement learning: learns by trial, error, and reward.
Deep Learning
Deep Learning uses multi-layered neural networks to model complex patterns in large datasets. It powers many state-of-the-art results in image, speech, and text tasks.
Natural Language Processing
Natural Language Processing (NLP) enables machines to understand, interpret, and generate human language. Applications include translation, summarization, chatbots, and large language models (LLMs).
Computer Vision
Computer Vision lets computers derive meaning from images and video. Typical tasks include classification, object detection, and segmentation.
AI Ethics
Responsible AI considers fairness, transparency, privacy, accountability, and the societal impact of deployed systems. Designing for safety and bias mitigation is essential as AI adoption grows.