The Meaning, purpose, and Uses of Artificial Intelligence (AI)

The study of creating intelligent machines or computer systems that can mimic human intelligence is known as artificial intelligence. Artificial intelligence allows for the creation of machines that behave and act just like human beings. 

Speech recognition, customer service, recommendation engines, and natural language processing (NLP) are a few applications of artificial intelligence.

Since its inception, AI research has examined and disproved a wide range of methodologies, including brain mimicry, human problem-solving modeling, formal logic, vast knowledge bases, and animal behavior imitation. In the first decades of the twenty-first century, machine learning with a strong mathematical-statistical component dominated the field. 

The numerous subfields of AI research are based on particular objectives and the use of particular methods. These methods includes, planning, learning, natural language processing, sensing, and the ability to move and manipulate objects, reasoning and knowledge representation. General intelligence, or the ability to solve any problem, is one of the long-term objectives of the field.  To address these issues, AI researchers have adapted and combined a wide range of problem-solving techniques, such as search and mathematical optimization, formal logic, artificial neural networks, and methodologies from statistics, probability, and economics.

AI also draws on a range of disciplines, including psychology, linguistics, and philosophy.