Canada

When people talk about AI, they're generally referring to systems or machines that can perform tasks which typically require human intelligence. These tasks might include things like recognizing speech, translating languages, or making decisions. AI isn't about simulating human consciousness or emotions but about replicating the ability to perform specific intelligent tasks.

AI systems can range from simple, rule-based algorithms (which might seem like glorified if-else statements) to complex, learning systems. This is where machine learning comes in. Machine learning is actually a subset of AI. It's a way of achieving AI where the system learns from data. Instead of being explicitly programmed to perform a task, the system is given huge amounts of data and learns patterns or rules from it. Over time, it can make predictions or decisions based on what it has learned.

So, not all AI is machine learning, but all machine learning is AI. Hope this clears things up a bit!