Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and solve problems. It encompasses a wide range of technologies and approaches designed to enable computers to perform tasks that typically require human intelligence. Below is a tree-like structure that outlines the major…

ai.txt

AI
├── Machine Learning (ML)
│   ├── Supervised Learning
│   │   ├── Regression
│   │   └── Classification
│   ├── Unsupervised Learning
│   │   ├── Clustering
│   │   └── Dimensionality Reduction
│   ├── Reinforcement Learning
│   └── Semi-supervised Learning
├── Deep Learning (DL)
│   ├── Neural Networks
│   │   ├── Feedforward Networks
│   │   ├── Convolutional Neural Networks (CNNs)
│   │   ├── Recurrent Neural Networks (RNNs)
│   │   │   └── LSTM / GRU
│   │   └── Transformer Models
│   └── Generative Models
│       ├── GANs
│       └── Variational Autoencoders (VAEs)
├── Natural Language Processing (NLP)
│   ├── Text Processing
│   │   ├── Tokenization & Parsing
│   │   └── Sentiment Analysis
│   ├── Language Understanding
│   │   ├── Named Entity Recognition (NER)
│   │   └── Question Answering
│   └── Language Generation
│       ├── GPT Models
│       │   └── ChatGPT (prompt-driven)
│       └── Other Models (e.g., BERT, T5)
├── Computer Vision
│   ├── Image Recognition
│   ├── Object Detection
│   ├── Image Segmentation
│   └── Video Analysis
├── Robotics
│   ├── Perception
│   ├── Planning
│   └── Control Systems
├── Expert Systems
│   └── Rule-Based Systems
└── Other Areas
    ├── Knowledge Representation & Reasoning
    ├── Evolutionary Computation
    └── Fuzzy Logic