Deep learning systems pick out statistical patterns in data — that’s how they interpret the world. But statistical learning requires lots of data, and it’s not particularly adept at applying past knowledge to new situations. That’s unlike symbolic AI, which records the chain of steps taken to reach a decision with less data than traditional