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Artificial Intelligence is a broad field of computer science. It aims to create machines that do tasks needing human intelligence. Think of it as the main goal. It builds smart systems. These systems can observe, reason, learn, solve problems, understand language, and even create things. This is much like a human mind. Defining AI: Thinking…
Introduction Artificial intelligence (AI) now shapes our daily lives. We see it in recommendations and self-driving cars. Its origins are important to understand. AI is not a new idea. It built on centuries of philosophy and math. Technology also helped it grow. This article explains AI history. It covers early ideas. It shows modern AI…
Artificial Intelligence (AI) creates machines that act with human-like intelligence. John McCarthy, a computer scientist, first used the term in 1956. AI aims to build systems that can think, solve problems, learn, and understand language. These systems sense their surroundings. They process information. They make decisions and act to reach goals. AI copies how humans…
Artificial intelligence (AI) and deep learning (DL) use terms like neural networks often. These systems power facial recognition on phones. They also suggest shows you might like. For many people, this idea remains unclear. It brings to mind complex math only data scientists understand. This article offers a clear guide to neural networks. It explains…
This article explores the evolution of Artificial Intelligence. It traces AI’s path. We start from its earliest ideas. We follow it to today’s complex world. AI shapes our world. It affects industries. It changes daily life. Understanding its origins helps us. This article discusses main historical periods. It covers key breakthroughs. It highlights influential figures….
Artificial intelligence lets machines perform smart tasks. They learn from data. They recognize patterns. They make decisions. AI systems solve problems that usually need human thought. This includes seeing images, understanding speech, and playing games. AI is not magic. It works based on rules and data. It learns and improves over time. Think of it…
Narrow artificial intelligence, also called weak AI, performs one specific task. It does not think for itself. It does not feel emotions. It cannot learn beyond its programmed purpose. This AI excels at its single job. It completes that job very well. Many common AI tools fit this type. A chess computer plays chess. It…
Ideas about artificial beings are old. People imagined automatons and thinking machines long ago. These concepts set the stage for later AI work. Ancient stories speak of statues coming to life. Myths featured mechanical servants. These old tales show a human desire to create intelligence. Early Automatons and Mythological Concepts Ancient Greek myths tell of…
Large Language Models are a type of artificial intelligence. They belong to machine learning. They use complex structures called neural networks. These networks mimic the human brain. They find patterns in data. These patterns help them learn language rules. Neural Networks Neural networks form the base of LLMs. They have layers of nodes. Each node…
Neural networks are computer systems. They get their name from the human brain. These systems learn from data. They find patterns. This helps them make predictions or decisions. Think of a child learning to recognize animals. The child sees many pictures of cats. Each picture shows a cat in a different pose or color. The…
