1. Narrow AI:
Narrow AI, also known as Weak AI, focuses on specific tasks and works with a high level of intelligence. This type of AI is designed to stand out in certain areas, such as image recognition, voice assistants or recommendations. Narrow AI operates within a defined boundary and lacks general intelligence.2. General Artificial Intelligence:
General Artificial Intelligence, often referred to as artificial intelligence, aims to replicate human-like intelligence in a wide variety of tasks and functions. This type of intelligence is the ability to understand, learn and apply information like human intelligence.
General technical expertise is still a desirable goal in research and development.
3. Machine Learning:
Machine Learning (ML) is a branch of artificial intelligence that focuses on algorithms and models that can learn from data and make predictions or decisions without programming. Machine learning algorithms learn from patterns and examples to improve their performance over time. This type of AI has many applications, including spam filters, fraud detection, and personalized recommendations.
4. Deep Learning:
Deep Learning is a subset of machine learning that uses artificial neural networks inspired by the structure and function of the human brain.
Deep learning algorithms process data from interconnected layers of nodes called neurons to extract representative points and patterns. This type of artificial intelligence has made significant advances in areas such as computer vision, natural language processing, and speech recognition..
5. Advanced Learning:
Advanced Learning (RL) involves training an AI agent to make decisions and take action in an environment to maximize efficiency. The agent learns by trial and error and receives feedback as a result of their actions. RL has shown great potential in areas such as player games, autonomous robotics and optimization problems.
