Deep Learning Solving the Complex Subtasks

Good example of how, by breaking up complex sub tasks, you can perform difficult goals.  We, as humans, don't have to 'solve' the problem of sight every time we want to see, and thus can get to more difficult goals.  Also naturally linking to the swarm solution idea.

2016: The Year that Deep Learning Took over the Internet     by Cade Metz, In Wired: 

" .... On the West coast of Australia, Amanda Hodgson is launching drones out towards the Indian Ocean so that they can photograph the water from above. The photos are a way of locating dugongs, or sea cows, in the bay near Perth—part of an effort to prevent the extinction of these endangered marine mammals. The trouble is that Hodgson and her team don’t have the time needed to examine all those aerial photos. There are too many of them—about 45,000—and spotting the dugongs is far too difficult for the untrained eye. So she’s giving the job to a deep neural network.

On the West coast of Australia, Amanda Hodgson is launching drones out towards the Indian Ocean so that they can photograph the water from above. The photos are a way of locating dugongs, or sea cows, in the bay near Perth—part of an effort to prevent the extinction of these endangered marine mammals. The trouble is that Hodgson and her team don’t have the time needed to examine all those aerial photos. There are too many of them—about 45,000—and spotting the dugongs is far too difficult for the untrained eye. So she’s giving the job to a deep neural network.  ....  "