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I'm pretty sure they meant "pattern finding" as "discovering new patterns that can be used for matching", not "finding a pattern that matches an existing known

• Jensson 5y ago
  But currently humans do that "pattern finding". If you want it to learn to recognize animals you give it thousands of images of different animals in all sorts of poses, angles and environments and tells it what those animals are, basically the "pattern" is created by the humans who compiles the dataset with enough examples to catch every situation, and then the program uses that pattern to find matches in other images. However if you want a human to recognize animals it is enough to show this picture and then they will be able to recognize most of these animals in other photos and poses, humans creates the pattern from the image and don't just rely on having tons of data: https://i.pinimg.com/originals/35/78/47/35784708f8cc9ef2345cf0670816a317.png https://i.pinimg.com/originals/35/78/47/35784708f8cc9ef2345c... Edit: In some cases you can write a program to explore a space. For example, you can write a program that plays board games randomly and notes the outcome, that is a data generator. Then you hook that to a pattern recognizer powered by a data centre, and you now have a state of the art gameplay AI. It isn't that simple, since writing the driver and feedback loop is extremely hard work that an AI can't do, humans has to do it.