AI systems can be further categorized based on their functionalities

Machine Learning (ML)

ML is a subset of AI that involves the development of algorithms and statistical models that enable a system to perform a task without explicit programming. It allows the system to learn from data and improve its performance over time.

Natural Language Processing (NLP)

NLP involves the interaction between computers
and humans using natural language. It enables machines to understand, interpret, and generate human language, making it a crucial component in applications like chatbots, language translation, and sentiment analysis

Computer Vision

This field focuses on enabling machines to interpret and make decisions based on visual data. Applications include image and video recognition, facial recognition, and autonomous vehicles.

Expert Systems

These are AI systems that emulate the decision-making ability of a human expert in a specific domain. They use a knowledge base and an inference engine to solve problems or make decisions.

Robotics

AI is often integrated into robotic systems to enable them to perceive their environment, make decisions, and perform tasks autonomously.