Artificial Intelligence (AI) is a generic term for all type of computer science related applications or tasks performed via computing algorithms, methods or models over the coding tools e.g., C, C++, Java, MATLAB, Python, SQL, EXCELL, .... etc. with ultimate computing, numeric or visual outcomes or inferences or decisions. In simple words, AI is a universal Set of all computers-based data analysis tasks or applications. For example, Machine Learning or any Data mining application is a subset of AI.

there are at least two types of AI with extractive AI that produces knowledge and insights from data using supervised and unsupervised learning and generative AI that produces outputs from data using transformative learning

Dear Doctor

"there are two ways in which AI is generally classified. One type is based on classifying AI and AI-enabled machines based on their likeness to the human mind, and their ability to “think” and perhaps even “feel” like humans. According to this system of classification, there are four types of AI or AI-based systems: reactive machines, limited memory machines, theory of mind, and self-aware AI.

The alternate system of classification that is more generally used in tech parlance is the classification of the technology into Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Superintelligence (ASI)."

There are various types or categories of AI that can be classified based on their capabilities and functionalities. Here are some common types of AI:

Narrow AI: Also known as weak AI, narrow AI is designed to perform a specific task or set of tasks. It focuses on a limited domain and does not possess general intelligence. Examples include voice assistants like Siri and Alexa, recommendation systems, and image recognition systems.

General AI: General AI refers to artificial intelligence systems that possess human-like intelligence and can understand, learn, and perform any intellectual task that a human being can do. This type of AI is hypothetical and does not exist yet.

Machine Learning: Machine learning is a subset of AI that focuses on algorithms and models that enable systems to learn and improve from experience without being explicitly programmed. It involves training models on data and using them to make predictions or decisions.

Deep Learning: Deep learning is a subfield of machine learning that utilizes artificial neural networks with multiple layers to learn and extract high-level representations from data. It has been particularly successful in areas such as image and speech recognition.

Reinforcement Learning: Reinforcement learning involves training an AI agent to make decisions and take actions in an environment to maximize rewards or minimize penalties. The agent learns through trial and error, receiving feedback in the form of rewards or punishments.

Natural Language Processing (NLP): NLP focuses on enabling computers to understand, interpret, and generate human language. It involves tasks such as language translation, sentiment analysis, and text generation.

Computer Vision: Computer vision AI systems aim to enable computers to understand and interpret visual information from images or videos. This includes tasks such as object recognition, image classification, and image segmentation.

These are just a few examples of the types of AI. AI is a vast and evolving field, and new types and categories continue to emerge as research and development progress.