Artificial intelligence, or AI, is about creating machines that can think, learn, and solve problems like humans. It's not about building robots that look like us, but about giving computers the ability to perform tasks that normally require human intelligence. This includes things like recognising speech, making decisions, and translating languages.

The core idea is simple: a machine takes in information from its environment and uses that information to achieve a specific goal. This could be as basic as a thermostat adjusting the temperature or as complex as a car driving itself through city traffic. The 'intelligence' part is the system's ability to adapt its behaviour based on what it learns.

The dream of intelligent machines is ancient, but the actual field of AI began in the 1950s. Early researchers were optimistic, believing they could create human-level intelligence within a few decades. Progress was slower than expected, leading to periods of reduced funding and interest known as 'AI winters'.

However, breakthroughs in the 21st century have changed everything. Two key factors fuelled a massive resurgence: the availability of huge amounts of data (often called 'big data') and the development of powerful, faster computers. These allowed for new techniques, like machine learning and deep learning, to flourish, bringing AI out of the lab and into our daily lives.

AI isn't a single thing. It exists on a spectrum, and today we mainly talk about two types: Narrow AI and General AI.

You interact with narrow AI all the time. The spam filter in your email, the recommendation engine on a streaming service, and the voice assistant on your phone are all examples of ANI. They are powerful tools for specific problems.

It's important to remember that AGI does not exist yet. Building a system with such flexible, human-like intelligence remains one of the greatest challenges in computer science.

AI is no longer a futuristic concept; it's a practical tool woven into the fabric of our modern world. Every time you use a navigation app to avoid traffic, you're using AI. The app analyses real-time data from thousands of other users to predict the fastest route.

Online shopping sites use AI to suggest products you might like based on your browsing history and previous purchases. Banks use AI to detect fraudulent transactions by identifying patterns that are unusual for your spending habits. Even your camera roll might use AI to recognise faces and group photos by the people in them.

These systems work quietly in the background, making many of our everyday activities smoother and more efficient. They are specialised tools, each a form of narrow AI, designed to solve a particular problem.

Now that you understand the basic concepts, let's test your knowledge.

This foundation gives you a starting point for understanding the AI-powered world around you. From here, we can begin to explore how these technologies work in more detail.