And for the first fifty years of AI research, the process more or less goes: 1) An AI researcher decides that problem X is hard enough that solving it represen

And for the first fifty years of AI research, the process more or less goes: 1) An AI researcher decides that problem X is hard enough that solving it represents intelligence 2) Researcher develops an algorithm to solve X 3) Now that we have that algorithm, it's no longer an AI problem When you teach a computer to play chess, it's just depth first search with a few heuristics added in. When you write an expert system to evaluate mortgage loans, it's just following a if-then script. Machine learning techniques though, seem to to have stayed solidly in the AI camp.