Imagine artificial intelligence as a student who learns from examples. When you show it many pictures of cats and dogs, it starts to notice patterns, like the shape of ears or the size of eyes. Over time, it gets really good at telling whether a new picture is of a cat or a dog just by looking at these patterns. That’s how AI learns from data: by finding hidden patterns in lots of examples.
Ask a question
See also
- How Does a Computer Learn from Data?
- How Do Robots Learn to Walk?
- How Does a Robot Learn to Walk on Its Own?
- How Does a Robot Learn from Experience?
- How Do Robots Know What to Do?
Discussion
Recent activity
Nothing here yet.