Artificial Intelligence (AI), ability of machines or computer systems to perform tasks that typically require human intelligence. When computers are capable to perform human actions—such as learning, problem-solving, decision-making, or recognizing patterns—we describe this as AI, which is intelligence confirmed by an artificial system rather than a human being.
An AI system can perform tasks intelligently without explicitly human guidance. These systems are capable of thinking, demonstrating intelligence, and translating that thought into action. A great example is a self-driving car, which must make decisions about speed, lane changes, and navigation in a manner similar to how a human would. It assesses its environment and acts accordingly, handling complex tasks autonomously.
In short AI is a field of computing, in which computer are programmed to perform task without being explicitly instructed, that replicate the tasks of thinking and intelligence that humans routinely perform.
From the above discussion, we can see that AI systems are learning, but how exactly are they learning? This process involves specific algorithms, which falls under a subfield of AI which is known as Machine Learning. While we won’t go into too much detail here, suffice it to say that Machine Learning provides the foundational architecture on which these AI programs operate. It leverages Neural Networks and Deep Learning techniques to enable AI systems to perform the tasks they are designed for.”
To sum up above all discussion and diagram, AI technology utilizes machine learning algorithms, make them sophisticated enough using advance technique like Neural Networks, and Deep Learning. These approaches enable AI to solve complex problems in areas such as natural language processing and computer vision.”