What are the branches or subfields of AI?

AI encompasses several branches or subfields, each focusing on different aspects of intelligence and problem-solving. Here are the main ones:

1. Machine Learning (ML):

   • Definition: A subset of AI where systems learn from data and improve their performance over time without being explicitly programmed.
   • Key Techniques: Supervised learning, unsupervised learning, and reinforcement learning.

2. Natural Language Processing (NLP):

   • Definition: Focuses on enabling machines to understand, interpret, and generate human language.
   • Applications: Language translation, sentiment analysis, and chatbots.

3. Computer Vision:

   • Definition: Involves teaching machines to interpret and make decisions based on visual inputs from the world.
   • Applications: Image recognition, facial recognition, and object detection.

4. Robotics:

   • Definition: Combines AI with mechanical engineering to create machines that can perform tasks autonomously.
   • Applications: Industrial robots, autonomous vehicles, and drones.