Let’s go over a quick lesson on AI… These get confused when talk with people.
AI, or artificial intelligence, refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. There are several types of AI, including:
Reactive machines: These are the simplest forms of AI, and can only react to the environment. They cannot form memories or learn from past experiences.
Limited memory: These machines can remember past events and use them to make decisions. Self-driving cars are an example of limited memory AI, as they use sensors and cameras to remember the environment and make decisions based on that memory.
Theory of mind: These machines can understand and reason about mental states, like beliefs and desires, of other agents.
Self-aware: This is the most advanced form of AI, which can form a sense of self and consciousness.
The most common type of AI in use today is machine learning, which is a subset of AI that involves using algorithms and statistical models to allow systems to learn from data and make predictions or decisions without being explicitly programmed.
There are two main types of machine learning: supervised and unsupervised. In supervised learning, the system is trained on a labeled dataset and is able to make predictions on new, unseen data. In unsupervised learning, the system is not given any labeled data and must find patterns and structure in the data on its own.
Deep learning, a specific type of machine learning, is based on neural networks, which are modeled after the structure and function of the human brain. These networks are made up of layers of interconnected nodes, called artificial neurons, and are able to process complex data and make predictions or decisions.
Overall, AI systems can be trained to perform a wide range of tasks, from image recognition and natural language processing to decision-making and problem-solving, and the more data it receives and the more it learns it can perform better in the task it was designed for.