What is artificial intelligence AI and machine learning?

Artificial Intelligence (AI) is a branch of computer science that aims to create intelligent machines that can perform tasks that would typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Machine learning is a sub-field of AI that involves the development of algorithms and statistical models that allow systems to automatically improve their performance with experience. Machine learning algorithms learn from data, rather than being explicitly programmed. This enables them to automatically identify patterns or features in the data, which can be used for tasks such as prediction, classification, and control.
There are several ways to categorize the types of AI, but one common classification scheme includes four categories:
Reactive Machines: These are the simplest form of AI, which can only react to the environment. They cannot form memories or use past experiences to inform current decision-making. Examples include IBM’s Deep Blue chess-playing computer.
Limited Memory: These types of AI can make use of past experiences to inform current decision-making, but they cannot form long-term memories. Examples include self-driving cars that can use previous sensor data to inform the current driving decision.
Theory of Mind: This type of AI is able to understand the mental states of others and can predict their actions. This type of AI is still in the research phase.
Self-Aware: This is the most advanced form of AI, in which the system has a sense of self and consciousness. This type of AI is still purely fictional in current state.
It’s worth mentioning that this classification is not the only one, and different authors have different ways to classify AI.
The job of Artificial Intelligence (AI) and Machine Learning (ML) is to create systems and algorithms that can automatically perform tasks that would normally require human intelligence, such as recognizing speech, understanding natural language, making decisions, and identifying patterns in data. AI and ML are used in a wide variety of applications, including self-driving cars, image recognition, medical diagnosis, and financial forecasting.

This article is shared by www.itechscripts.com | A leading resource of inspired clone scripts. It offers hundreds of popular scripts that are used by thousands of small and medium enterprises.