Artificial Intelligence — From Myth to Reality

Artificial Intelligence, or AI, is when machines can do tasks that normally need human intelligence — like understanding language, recognizing images, making decisions, or solving problems.

Think about ancient stories: Greek myths had mechanical servants, and in the 1800s people imagined intelligent robots. But real AI started in the 20th century. In 1956, scientists at the Dartmouth Conference officially started the field of AI, believing machines could be made as smart as humans.

There are two main types: Narrow AI (good at one specific task, like your phone's voice assistant or Netflix recommendations) and General AI (human-like intelligence across many tasks — this doesn't fully exist yet). Most AI we use today is narrow but incredibly powerful.

AI works because of massive amounts of data and fast computers. It doesn't "think" like humans — it finds patterns in data and makes predictions. This is why AI can translate languages, drive cars in tests, or beat humans at chess and Go.

AI is already part of daily life: spam filters in email, face recognition on phones, and smart home devices. It feels magical, but it's built on math, statistics, and lots of examples.

As we begin this course, remember: AI is a tool created by humans. Understanding it helps us use it wisely and shape its future.